"""
Sentry integration for MCP (Model Context Protocol) servers.

This integration instruments MCP servers to create spans for tool, prompt,
and resource handler execution, and captures errors that occur during execution.

Supports the low-level `mcp.server.lowlevel.Server` API.
"""

import inspect
from collections.abc import Iterator
from contextlib import contextmanager
from functools import wraps
from typing import TYPE_CHECKING

import sentry_sdk
from sentry_sdk.ai.utils import _set_span_data_attribute, get_start_span_function
from sentry_sdk.consts import OP, SPANDATA
from sentry_sdk.integrations import DidNotEnable, Integration
from sentry_sdk.scope import should_send_default_pii
from sentry_sdk.traces import StreamedSpan
from sentry_sdk.tracing_utils import has_span_streaming_enabled
from sentry_sdk.utils import (
    has_data_collection_enabled,
    nullcontext,
    package_version,
    safe_serialize,
)

try:
    from mcp.server.lowlevel import Server
    from mcp.server.streamable_http import (
        StreamableHTTPServerTransport,
    )

    MCP_PACKAGE_VERSION = package_version("mcp")

    if MCP_PACKAGE_VERSION and MCP_PACKAGE_VERSION < (2, 0, 0):
        from mcp.server.lowlevel.server import (  # type: ignore[attr-defined]
            request_ctx,
        )
except ImportError:
    raise DidNotEnable("MCP SDK not installed")

try:
    from fastmcp import FastMCP  # type: ignore[import-not-found]
except ImportError:
    FastMCP = None

if MCP_PACKAGE_VERSION and MCP_PACKAGE_VERSION >= (2, 0, 0):
    try:
        from mcp.server.context import (
            ServerRequestContext,
        )
    except ImportError:
        ServerRequestContext = None  # type: ignore[assignment,misc]
else:
    ServerRequestContext = None  # type: ignore[assignment,misc]


if TYPE_CHECKING:
    from typing import Any, Awaitable, Callable, Optional, Union

    from mcp.server.context import CallNext, HandlerResult
    from mcp_types import (
        CallToolResult,
        GetPromptResult,
        InputRequiredResult,
        ReadResourceResult,
    )
    from starlette.types import Receive, Scope, Send

    from sentry_sdk.traces import StreamedSpan
    from sentry_sdk.tracing import Span


class MCPIntegration(Integration):
    identifier = "mcp"
    origin = "auto.ai.mcp"

    def __init__(self, include_prompts: bool = True) -> None:
        """
        Initialize the MCP integration.

        Args:
            include_prompts: Whether to include prompts (tool results and prompt content)
                             in span data. Requires send_default_pii=True. Default is True.
        """
        self.include_prompts = include_prompts

    @staticmethod
    def setup_once() -> None:
        """
        Patches MCP server classes to instrument handler execution.
        """
        _patch_lowlevel_server()
        _patch_handle_request()

        if FastMCP is not None:
            _patch_fastmcp()


@contextmanager
def _active_http_scopes(
    ctx: "Any",
) -> "Iterator[None]":
    """
    Use isolation and current scopes that were stored before the in-memory MCP request queue.
    This ensures that MCP spans are nested under the HTTP server span when using the Streamable HTTP transport.
    """
    if (
        ctx is None
        or not hasattr(ctx, "request")
        or ctx.request is None
        or "state" not in ctx.request.scope
    ):
        yield
        return

    isolation_scope = ctx.request.scope["state"].get("sentry_sdk.isolation_scope")
    current_scope = ctx.request.scope["state"].get("sentry_sdk.current_scope")

    isolation_scope_context = (
        nullcontext()
        if isolation_scope is None
        else sentry_sdk.scope.use_isolation_scope(isolation_scope)
    )
    current_scope_context = (
        nullcontext()
        if current_scope is None
        else sentry_sdk.scope.use_scope(current_scope)
    )

    with isolation_scope_context, current_scope_context:
        yield


def _get_request_context_data(
    ctx: "Any",
) -> "tuple[Optional[str], Optional[str], str]":
    """
    Extract request ID, session ID, and MCP transport type from the request context.

    Returns:
        Tuple of (request_id, session_id, mcp_transport).
        - request_id: May be None if not available
        - session_id: May be None if not available
        - mcp_transport: "http", "sse", "stdio"
    """
    request_id: "Optional[str]" = None
    session_id: "Optional[str]" = None
    mcp_transport: str = "stdio"

    if ctx is not None:
        request_id = ctx.request_id
        if hasattr(ctx, "request") and ctx.request is not None:
            request = ctx.request
            # Detect transport type by checking request characteristics
            if hasattr(request, "query_params") and request.query_params.get(
                "session_id"
            ):
                # SSE transport uses query parameter
                mcp_transport = "sse"
                session_id = request.query_params.get("session_id")
            elif hasattr(request, "headers") and request.headers.get("mcp-session-id"):
                # StreamableHTTP transport uses header
                mcp_transport = "http"
                session_id = request.headers.get("mcp-session-id")

    return request_id, session_id, mcp_transport


def _set_span_input_data(
    span: "Union[StreamedSpan, Span]",
    handler_name: str,
    span_data_key: str,
    mcp_method_name: str,
    arguments: "dict[str, Any]",
    request_id: "Optional[str]",
    session_id: "Optional[str]",
    mcp_transport: str,
) -> None:
    """Set input span data for MCP handlers."""

    # Set handler identifier
    _set_span_data_attribute(span, span_data_key, handler_name)
    _set_span_data_attribute(span, SPANDATA.MCP_METHOD_NAME, mcp_method_name)

    # Set transport/MCP transport type
    _set_span_data_attribute(
        span,
        SPANDATA.NETWORK_TRANSPORT,
        "pipe" if mcp_transport == "stdio" else "tcp",
    )
    _set_span_data_attribute(span, SPANDATA.MCP_TRANSPORT, mcp_transport)

    # Set request_id if provided
    if request_id:
        _set_span_data_attribute(span, SPANDATA.MCP_REQUEST_ID, request_id)

    # Set session_id if provided
    if session_id:
        _set_span_data_attribute(span, SPANDATA.MCP_SESSION_ID, session_id)

    # Set request arguments (excluding common request context objects)
    for k, v in arguments.items():
        _set_span_data_attribute(span, f"mcp.request.argument.{k}", safe_serialize(v))


def _extract_tool_result_content(result: "Any") -> "Any":
    """
    Extract meaningful content from MCP tool result.

    Tool handlers can return:
    - CallToolResult (mcp v2+): Has .content list and optional .structured_content
    - tuple (UnstructuredContent, StructuredContent): Return the structured content (dict)
    - dict (StructuredContent): Return as-is
    - list/Iterable (UnstructuredContent): Extract text from content blocks
    """
    if result is None:
        return None

    # Handle v2 CallToolResult-like objects (has .content list attribute)
    if hasattr(result, "content") and isinstance(
        getattr(result, "content", None), list
    ):
        # This is only present when a tool declares an output_schema
        structured = getattr(result, "structured_content", None)
        if structured is not None:
            return structured
        return _extract_text_from_content_blocks(result.content)

    # Handle CombinationContent: tuple of (UnstructuredContent, StructuredContent)
    if isinstance(result, tuple) and len(result) == 2:
        # Return the structured content (2nd element)
        return result[1]

    # Handle StructuredContent: dict
    if isinstance(result, dict):
        return result

    # Handle UnstructuredContent: iterable of ContentBlock objects
    if hasattr(result, "__iter__") and not isinstance(result, (str, bytes, dict)):
        return _extract_text_from_content_blocks(result)

    return result


def _extract_text_from_content_blocks(content_blocks: "Any") -> "Any":
    texts = []
    try:
        for item in content_blocks:
            if hasattr(item, "text"):
                texts.append(item.text)
            elif isinstance(item, dict) and "text" in item:
                texts.append(item["text"])
    except Exception:
        return content_blocks
    return " ".join(texts) if texts else content_blocks


def _extract_handler_data_from_args(
    handler_type: str,
    original_args: "tuple[Any, ...]",
    original_kwargs: "Optional[dict[str, Any]]" = None,
) -> "tuple[str, dict[str, Any]]":
    """
    Extract handler name and arguments from v1 positional args.

    In MCP SDK v1, handlers receive positional args:
    - Tool: (tool_name, arguments)
    - Prompt: (name, arguments)
    - Resource: (uri,)
    """
    original_kwargs = original_kwargs or {}

    if handler_type == "tool":
        if original_args:
            handler_name = original_args[0]
        elif original_kwargs.get("name"):
            handler_name = original_kwargs["name"]

        arguments = {}
        if len(original_args) > 1:
            arguments = original_args[1]
        elif original_kwargs.get("arguments"):
            arguments = original_kwargs["arguments"]

    elif handler_type == "prompt":
        if original_args:
            handler_name = original_args[0]
        elif original_kwargs.get("name"):
            handler_name = original_kwargs["name"]

        arguments = {}
        if len(original_args) > 1:
            arguments = original_args[1]
        elif original_kwargs.get("arguments"):
            arguments = original_kwargs["arguments"]

    else:  # resource
        handler_name = "unknown"
        if original_args:
            handler_name = str(original_args[0])
        elif original_kwargs.get("uri"):
            handler_name = str(original_kwargs["uri"])

        arguments = {}

    return handler_name, arguments


async def _tool_handler_wrapper(
    func: "Callable[..., Awaitable[Union[CallToolResult, InputRequiredResult]]]",
    original_args: "tuple[Any, ...]",
    original_kwargs: "Optional[dict[str, Any]]" = None,
    self: "Optional[Any]" = None,
    force_await: bool = True,
) -> "Union[CallToolResult, InputRequiredResult]":
    """
    Wrapper for MCP tool handlers.
    Creates and manages the MCP span and attaches all attributes on the span.

    Args:
        func: The handler function to wrap
        original_args: Original arguments passed to the handler
        original_kwargs: Original keyword arguments passed to the handler
        self: Optional instance for bound methods
    """
    client = sentry_sdk.get_client()

    if original_kwargs is None:
        original_kwargs = {}

    handler_name, arguments = _extract_handler_data_from_args(
        "tool", original_args, original_kwargs
    )

    if has_data_collection_enabled(client.options):
        if not client.options["data_collection"]["gen_ai"]["inputs"]:
            # Arguments can contain sensitive data and shouldn't be added to the span
            # if the user has opted out via this config.
            arguments = {}

    ctx = None
    try:
        ctx = request_ctx.get()
    except LookupError:
        pass

    # Get request ID, session ID, and transport from context
    request_id, session_id, mcp_transport = _get_request_context_data(ctx=ctx)

    span_streaming = has_span_streaming_enabled(sentry_sdk.get_client().options)

    # Start span and execute
    with _active_http_scopes(ctx=ctx):
        span_mgr: "Union[Span, StreamedSpan]"
        if span_streaming:
            span_mgr = sentry_sdk.traces.start_span(
                name=f"tools/call {handler_name}",
                attributes={
                    "sentry.op": OP.MCP_SERVER,
                    "sentry.origin": MCPIntegration.origin,
                },
            )
        else:
            span_mgr = get_start_span_function()(
                op=OP.MCP_SERVER,
                name=f"tools/call {handler_name}",
                origin=MCPIntegration.origin,
            )

        with span_mgr as span:
            # Set input span data
            _set_span_input_data(
                span,
                handler_name,
                SPANDATA.MCP_TOOL_NAME,
                "tools/call",
                arguments,
                request_id,
                session_id,
                mcp_transport,
            )

            try:
                # Execute the async handler
                if self is not None:
                    original_args = (self, *original_args)

                result = func(*original_args, **original_kwargs)
                if force_await or inspect.isawaitable(result):
                    result = await result

            except Exception as e:
                sentry_sdk.capture_exception(e)
                raise

            if result is None:
                return result

            # Get integration to check PII settings
            integration = client.get_integration(MCPIntegration)
            if integration is None:
                return result

            # Check if we should include sensitive data
            should_include_data = False
            if has_data_collection_enabled(client.options):
                if client.options["data_collection"]["gen_ai"]["outputs"]:
                    should_include_data = True
            elif should_send_default_pii() and integration.include_prompts:
                should_include_data = True

            extracted = _extract_tool_result_content(result)
            if extracted is not None and should_include_data:
                _set_span_data_attribute(
                    span, SPANDATA.MCP_TOOL_RESULT_CONTENT, safe_serialize(extracted)
                )
                # Set content count if result is a dict
                if isinstance(extracted, dict):
                    _set_span_data_attribute(
                        span, SPANDATA.MCP_TOOL_RESULT_CONTENT_COUNT, len(extracted)
                    )

    return result


async def _instrument_v2_tool_call(
    ctx: "ServerRequestContext[Any, Any]",
    call_next: "CallNext",
) -> "HandlerResult":
    """
    Instrument a tool call as observed by the MCP Server middleware.
    Creates and manages the MCP span and attaches all attributes on the span.
    """
    if ctx.params is None or ctx.params.get("name") is None:
        return await call_next(ctx)

    client = sentry_sdk.get_client()
    handler_name = ctx.params["name"]
    arguments = ctx.params.get("arguments")
    if arguments is None:
        arguments = {}

    if has_data_collection_enabled(client.options):
        if not client.options["data_collection"]["gen_ai"]["inputs"]:
            # Arguments can contain sensitive data and shouldn't be added to the span
            # if the user has opted out via this config.
            arguments = {}

    # Get request ID, session ID, and transport from context
    request_id, session_id, mcp_transport = _get_request_context_data(ctx=ctx)

    span_streaming = has_span_streaming_enabled(client.options)

    # Start span and execute
    with _active_http_scopes(ctx=ctx):
        span_mgr: "Union[Span, StreamedSpan]"
        if span_streaming:
            span_mgr = sentry_sdk.traces.start_span(
                name=f"tools/call {handler_name}",
                attributes={
                    "sentry.op": OP.MCP_SERVER,
                    "sentry.origin": MCPIntegration.origin,
                },
            )
        else:
            span_mgr = get_start_span_function()(
                op=OP.MCP_SERVER,
                name=f"tools/call {handler_name}",
                origin=MCPIntegration.origin,
            )

        with span_mgr as span:
            # Set input span data
            _set_span_input_data(
                span,
                handler_name,
                SPANDATA.MCP_TOOL_NAME,
                "tools/call",
                arguments,
                request_id,
                session_id,
                mcp_transport,
            )

            try:
                result = await call_next(ctx)

            except Exception as e:
                sentry_sdk.capture_exception(e)
                raise

            if not isinstance(result, dict):
                return result

            # Get integration to check PII settings
            integration = client.get_integration(MCPIntegration)
            if integration is None:
                return result

            # Check if we should include sensitive data
            should_include_result_data = False
            if has_data_collection_enabled(client.options):
                if client.options["data_collection"]["gen_ai"]["outputs"]:
                    should_include_result_data = True
            elif should_send_default_pii() and integration.include_prompts:
                should_include_result_data = True

            result_content = result
            if "structuredContent" in result:
                result_content = result["structuredContent"]
            elif isinstance(result.get("content"), list):
                result_content = _extract_text_from_content_blocks(result["content"])

            if result_content is not None and should_include_result_data:
                _set_span_data_attribute(
                    span,
                    SPANDATA.MCP_TOOL_RESULT_CONTENT,
                    safe_serialize(result_content),
                )
                # Set content count if result is a dict
                if isinstance(result_content, dict):
                    _set_span_data_attribute(
                        span,
                        SPANDATA.MCP_TOOL_RESULT_CONTENT_COUNT,
                        len(result_content),
                    )

    return result


async def _prompt_handler_wrapper(
    func: "Callable[..., Awaitable[Union[GetPromptResult, InputRequiredResult]]]",
    original_args: "tuple[Any, ...]",
    original_kwargs: "Optional[dict[str, Any]]" = None,
    self: "Optional[Any]" = None,
    force_await: bool = True,
) -> "Union[GetPromptResult, InputRequiredResult]":
    """
    Wrapper for MCP prompt handlers.
    Creates and manages the MCP span and attaches all attributes on the span.

    Args:
        func: The handler function to wrap
        original_args: Original arguments passed to the handler
        original_kwargs: Original keyword arguments passed to the handler
        self: Optional instance for bound methods
    """
    if original_kwargs is None:
        original_kwargs = {}

    client = sentry_sdk.get_client()
    handler_name, arguments = _extract_handler_data_from_args(
        "prompt", original_args, original_kwargs
    )

    if has_data_collection_enabled(client.options):
        if not client.options["data_collection"]["gen_ai"]["inputs"]:
            # Arguments can contain sensitive data and shouldn't be added to the span
            # if the user has opted out via this config.
            arguments = {}

    ctx = None
    try:
        ctx = request_ctx.get()
    except LookupError:
        pass

    # Get request ID, session ID, and transport from context
    request_id, session_id, mcp_transport = _get_request_context_data(ctx=ctx)

    span_streaming = has_span_streaming_enabled(client.options)

    # Start span and execute
    with _active_http_scopes(ctx=ctx):
        span_mgr: "Union[Span, StreamedSpan]"
        if span_streaming:
            span_mgr = sentry_sdk.traces.start_span(
                name=f"prompts/get {handler_name}",
                attributes={
                    "sentry.op": OP.MCP_SERVER,
                    "sentry.origin": MCPIntegration.origin,
                },
            )
        else:
            span_mgr = get_start_span_function()(
                op=OP.MCP_SERVER,
                name=f"prompts/get {handler_name}",
                origin=MCPIntegration.origin,
            )

        with span_mgr as span:
            # Set input span data
            _set_span_input_data(
                span,
                handler_name,
                SPANDATA.MCP_PROMPT_NAME,
                "prompts/get",
                arguments,
                request_id,
                session_id,
                mcp_transport,
            )

            try:
                # Execute the async handler
                if self is not None:
                    original_args = (self, *original_args)

                result = func(*original_args, **original_kwargs)
                if force_await or inspect.isawaitable(result):
                    result = await result

            except Exception as e:
                sentry_sdk.capture_exception(e)
                raise

            if result is None:
                return result

            # Get integration to check PII settings
            integration = client.get_integration(MCPIntegration)
            if integration is None:
                return result

            # Check if we should include sensitive data
            should_include_result_data = False
            if has_data_collection_enabled(client.options):
                if client.options["data_collection"]["gen_ai"]["inputs"]:
                    should_include_result_data = True
            elif should_send_default_pii() and integration.include_prompts:
                should_include_result_data = True

            # For prompts, count messages and set role/content only for single-message prompts
            try:
                messages: "Optional[list[str]]" = None
                message_count = 0

                # Check if result has messages attribute (GetPromptResult)
                if hasattr(result, "messages") and result.messages:
                    messages = result.messages  # type: ignore[assignment]
                    message_count = len(messages)  # type: ignore[arg-type]
                # Also check if result is a dict with messages
                elif isinstance(result, dict) and result.get("messages"):
                    messages = result["messages"]
                    message_count = len(messages)

                # Always set message count if we found messages
                if message_count > 0:
                    _set_span_data_attribute(
                        span, SPANDATA.MCP_PROMPT_RESULT_MESSAGE_COUNT, message_count
                    )

                # Only set role and content for single-message prompts if PII is allowed
                if message_count == 1 and should_include_result_data and messages:
                    first_message = messages[0]
                    # Extract role
                    role = None
                    if hasattr(first_message, "role"):
                        role = first_message.role
                    elif isinstance(first_message, dict) and "role" in first_message:
                        role = first_message["role"]

                    if role:
                        _set_span_data_attribute(
                            span, SPANDATA.MCP_PROMPT_RESULT_MESSAGE_ROLE, role
                        )

                    # Extract content text
                    content_text = None
                    if hasattr(first_message, "content"):
                        msg_content = first_message.content
                        # Content can be a TextContent object or similar
                        if hasattr(msg_content, "text"):
                            content_text = msg_content.text
                        elif isinstance(msg_content, dict) and "text" in msg_content:
                            content_text = msg_content["text"]
                        elif isinstance(msg_content, str):
                            content_text = msg_content
                    elif isinstance(first_message, dict) and "content" in first_message:
                        msg_content = first_message["content"]
                        if isinstance(msg_content, dict) and "text" in msg_content:
                            content_text = msg_content["text"]
                        elif isinstance(msg_content, str):
                            content_text = msg_content

                    if content_text:
                        _set_span_data_attribute(
                            span,
                            SPANDATA.MCP_PROMPT_RESULT_MESSAGE_CONTENT,
                            content_text,
                        )
            except Exception:
                # Silently ignore if we can't extract message info
                pass

    return result


async def _instrument_v2_prompt_get(
    ctx: "ServerRequestContext[Any, Any]",
    call_next: "CallNext",
) -> "HandlerResult":
    """
    Instrument a prompt retrieval as observed by the MCP Server middleware.
    Creates and manages the MCP span and attaches all attributes on the span.
    """
    if ctx.params is None or ctx.params.get("name") is None:
        return await call_next(ctx)

    client = sentry_sdk.get_client()
    handler_name = ctx.params["name"]

    arguments = ctx.params.get("arguments")

    if arguments is None:
        arguments = {}

    if has_data_collection_enabled(client.options):
        if not client.options["data_collection"]["gen_ai"]["inputs"]:
            # Arguments can contain sensitive data and shouldn't be added to the span
            # if the user has opted out via this config.
            arguments = {}

    # Get request ID, session ID, and transport from context
    request_id, session_id, mcp_transport = _get_request_context_data(ctx=ctx)

    span_streaming = has_span_streaming_enabled(client.options)

    # Start span and execute
    with _active_http_scopes(ctx=ctx):
        span_mgr: "Union[Span, StreamedSpan]"
        if span_streaming:
            span_mgr = sentry_sdk.traces.start_span(
                name=f"prompts/get {handler_name}",
                attributes={
                    "sentry.op": OP.MCP_SERVER,
                    "sentry.origin": MCPIntegration.origin,
                },
            )
        else:
            span_mgr = get_start_span_function()(
                op=OP.MCP_SERVER,
                name=f"prompts/get {handler_name}",
                origin=MCPIntegration.origin,
            )

        with span_mgr as span:
            # Set input span data
            _set_span_input_data(
                span,
                handler_name,
                SPANDATA.MCP_PROMPT_NAME,
                "prompts/get",
                arguments,
                request_id,
                session_id,
                mcp_transport,
            )

            try:
                result = await call_next(ctx)
            except Exception as e:
                sentry_sdk.capture_exception(e)
                raise

            if not isinstance(result, dict):
                return result

            # Get integration to check PII settings
            integration = client.get_integration(MCPIntegration)
            if integration is None:
                return result

            # Check if we should include sensitive data
            should_include_result_data = False
            if has_data_collection_enabled(client.options):
                if client.options["data_collection"]["gen_ai"]["inputs"]:
                    should_include_result_data = True
            elif should_send_default_pii() and integration.include_prompts:
                should_include_result_data = True

            # For prompts, count messages and set role/content only for single-message prompts
            try:
                messages: "Optional[list[dict[str, Any]]]" = None
                message_count = 0

                if result.get("messages"):
                    messages = result["messages"]
                    message_count = len(messages)

                # Always set message count if we found messages
                if message_count > 0:
                    _set_span_data_attribute(
                        span, SPANDATA.MCP_PROMPT_RESULT_MESSAGE_COUNT, message_count
                    )

                # Only set role and content for single-message prompts if PII is allowed
                if message_count == 1 and should_include_result_data and messages:
                    first_message = messages[0]
                    # Extract role
                    role = None
                    if "role" in first_message:
                        role = first_message["role"]

                    if role:
                        _set_span_data_attribute(
                            span, SPANDATA.MCP_PROMPT_RESULT_MESSAGE_ROLE, role
                        )

                    content_text = None
                    if "content" in first_message:
                        msg_content = first_message["content"]
                        if "text" in msg_content:
                            content_text = msg_content["text"]

                    if content_text:
                        _set_span_data_attribute(
                            span,
                            SPANDATA.MCP_PROMPT_RESULT_MESSAGE_CONTENT,
                            content_text,
                        )
            except Exception:
                # Silently ignore if we can't extract message info
                pass

    return result


async def _resource_handler_wrapper(
    func: "Callable[..., Awaitable[Union[ReadResourceResult, InputRequiredResult]]]",
    original_args: "tuple[Any, ...]",
    original_kwargs: "Optional[dict[str, Any]]" = None,
    self: "Optional[Any]" = None,
    force_await: bool = True,
) -> "Union[ReadResourceResult, InputRequiredResult]":
    """
    Wrapper for MCP resource handlers.
    Creates and manages the MCP span and attaches all attributes on the span.

    Args:
        func: The handler function to wrap
        original_args: Original arguments passed to the handler
        original_kwargs: Original keyword arguments passed to the handler
        self: Optional instance for bound methods
    """
    if original_kwargs is None:
        original_kwargs = {}

    handler_name, arguments = _extract_handler_data_from_args(
        "resource", original_args, original_kwargs
    )

    ctx = None
    try:
        ctx = request_ctx.get()
    except LookupError:
        pass

    # Get request ID, session ID, and transport from context
    request_id, session_id, mcp_transport = _get_request_context_data(ctx=ctx)

    span_streaming = has_span_streaming_enabled(sentry_sdk.get_client().options)

    # Start span and execute
    with _active_http_scopes(ctx=ctx):
        span_mgr: "Union[Span, StreamedSpan]"
        if span_streaming:
            span_mgr = sentry_sdk.traces.start_span(
                name=f"resources/read {handler_name}",
                attributes={
                    "sentry.op": OP.MCP_SERVER,
                    "sentry.origin": MCPIntegration.origin,
                },
            )
        else:
            span_mgr = get_start_span_function()(
                op=OP.MCP_SERVER,
                name=f"resources/read {handler_name}",
                origin=MCPIntegration.origin,
            )

        with span_mgr as span:
            # Set input span data
            _set_span_input_data(
                span,
                handler_name,
                SPANDATA.MCP_RESOURCE_URI,
                "resources/read",
                arguments,
                request_id,
                session_id,
                mcp_transport,
            )

            if original_args:
                uri = original_args[0]
            else:
                uri = original_kwargs.get("uri")

            protocol = None
            if uri is not None and hasattr(uri, "scheme"):
                protocol = uri.scheme
            elif handler_name and "://" in handler_name:
                protocol = handler_name.split("://")[0]
            if protocol:
                _set_span_data_attribute(span, SPANDATA.MCP_RESOURCE_PROTOCOL, protocol)

            try:
                # Execute the async handler
                if self is not None:
                    original_args = (self, *original_args)

                result = func(*original_args, **original_kwargs)
                if force_await or inspect.isawaitable(result):
                    result = await result

            except Exception as e:
                sentry_sdk.capture_exception(e)
                raise

    return result


async def _instrument_v2_resource_read(
    ctx: "ServerRequestContext[Any, Any]",
    call_next: "CallNext",
) -> "HandlerResult":
    """
    Instrument getting a resource as observed by the MCP Server middleware.
    Creates and manages the MCP span and attaches all attributes on the span.
    """
    if ctx.params is None or ctx.params.get("uri") is None:
        return await call_next(ctx)

    handler_name = ctx.params["uri"]

    # Get request ID, session ID, and transport from context
    request_id, session_id, mcp_transport = _get_request_context_data(ctx=ctx)

    span_streaming = has_span_streaming_enabled(sentry_sdk.get_client().options)

    # Start span and execute
    with _active_http_scopes(ctx=ctx):
        span_mgr: "Union[Span, StreamedSpan]"
        if span_streaming:
            span_mgr = sentry_sdk.traces.start_span(
                name=f"resources/read {handler_name}",
                attributes={
                    "sentry.op": OP.MCP_SERVER,
                    "sentry.origin": MCPIntegration.origin,
                },
            )
        else:
            span_mgr = get_start_span_function()(
                op=OP.MCP_SERVER,
                name=f"resources/read {handler_name}",
                origin=MCPIntegration.origin,
            )

        with span_mgr as span:
            # Set input span data
            _set_span_input_data(
                span,
                handler_name,
                SPANDATA.MCP_RESOURCE_URI,
                "resources/read",
                {},
                request_id,
                session_id,
                mcp_transport,
            )

            protocol = None
            if handler_name and "://" in handler_name:
                protocol = handler_name.split("://")[0]
            if protocol:
                _set_span_data_attribute(span, SPANDATA.MCP_RESOURCE_PROTOCOL, protocol)

            try:
                result = await call_next(ctx)

            except Exception as e:
                sentry_sdk.capture_exception(e)
                raise

    return result


def _patch_lowlevel_server() -> None:
    """
    Patches the mcp.server.lowlevel.Server class to instrument handler execution.
    """
    if MCP_PACKAGE_VERSION and MCP_PACKAGE_VERSION >= (2, 0, 0):
        _patch_lowlevel_server_v2()
    else:
        _patch_lowlevel_server_v1()


def _patch_lowlevel_server_v1() -> None:
    """Patches v1 Server decorator methods (call_tool, get_prompt, read_resource)."""
    # Patch call_tool decorator
    original_call_tool = Server.call_tool  # type: ignore[attr-defined]

    def patched_call_tool(
        self: "Server", **kwargs: "Any"
    ) -> "Callable[[Callable[..., Any]], Callable[..., Any]]":
        """Patched version of Server.call_tool that adds Sentry instrumentation."""

        def instrumented_decorator(func: "Callable[..., Any]") -> "Callable[..., Any]":
            @wraps(func)
            async def wrapper(*args: "Any") -> "Any":
                return await _tool_handler_wrapper(func, args, force_await=False)

            # Then register it with the original MCP decorator
            return original_call_tool(self, **kwargs)(wrapper)

        return instrumented_decorator

    Server.call_tool = patched_call_tool  # type: ignore[attr-defined]

    # Patch get_prompt decorator
    original_get_prompt = Server.get_prompt  # type: ignore[attr-defined]

    def patched_get_prompt(
        self: "Server",
    ) -> "Callable[[Callable[..., Any]], Callable[..., Any]]":
        """Patched version of Server.get_prompt that adds Sentry instrumentation."""

        def instrumented_decorator(func: "Callable[..., Any]") -> "Callable[..., Any]":
            @wraps(func)
            async def wrapper(*args: "Any") -> "Any":
                return await _prompt_handler_wrapper(func, args, force_await=False)

            # Then register it with the original MCP decorator
            return original_get_prompt(self)(wrapper)

        return instrumented_decorator

    Server.get_prompt = patched_get_prompt  # type: ignore[attr-defined]

    # Patch read_resource decorator
    original_read_resource = Server.read_resource  # type: ignore[attr-defined]

    def patched_read_resource(
        self: "Server",
    ) -> "Callable[[Callable[..., Any]], Callable[..., Any]]":
        """Patched version of Server.read_resource that adds Sentry instrumentation."""

        def instrumented_decorator(func: "Callable[..., Any]") -> "Callable[..., Any]":
            @wraps(func)
            async def wrapper(*args: "Any") -> "Any":
                return await _resource_handler_wrapper(func, args, force_await=False)

            # Then register it with the original MCP decorator
            return original_read_resource(self)(wrapper)

        return instrumented_decorator

    Server.read_resource = patched_read_resource  # type: ignore[attr-defined]


async def _sentry_middleware(
    ctx: "ServerRequestContext[Any, Any]", call_next: "CallNext"
) -> "HandlerResult":
    if ctx.method == "tools/call":
        return await _instrument_v2_tool_call(ctx, call_next)

    if ctx.method == "prompts/get":
        return await _instrument_v2_prompt_get(ctx, call_next)

    if ctx.method == "resources/read":
        return await _instrument_v2_resource_read(ctx, call_next)

    return await call_next(ctx)


def _patch_lowlevel_server_v2() -> None:
    """Patches the v2 Server to wrap tool/prompt/resource handlers.

    Handlers can be registered either via the Server(...) constructor kwargs
    (on_call_tool/on_get_prompt/on_read_resource) — the path the in-tree
    MCPServer and most lowlevel examples use — or via add_request_handler.
    Both are patched.
    """
    original_init = Server.__init__

    @wraps(original_init)
    def patched_init(self: "Server", *args: "Any", **kwargs: "Any") -> None:
        original_init(self, *args, **kwargs)
        self.middleware.append(_sentry_middleware)

    Server.__init__ = patched_init  # type: ignore[method-assign]


def _patch_handle_request() -> None:
    original_handle_request = StreamableHTTPServerTransport.handle_request

    @wraps(original_handle_request)
    async def patched_handle_request(
        self: "StreamableHTTPServerTransport",
        scope: "Scope",
        receive: "Receive",
        send: "Send",
    ) -> None:
        scope.setdefault("state", {})["sentry_sdk.isolation_scope"] = (
            sentry_sdk.get_isolation_scope()
        )
        scope["state"]["sentry_sdk.current_scope"] = sentry_sdk.get_current_scope()
        await original_handle_request(self, scope, receive, send)

    StreamableHTTPServerTransport.handle_request = patched_handle_request  # type: ignore[method-assign]


def _patch_fastmcp() -> None:
    """
    Patches the standalone fastmcp package's FastMCP class.

    The standalone fastmcp package (v2.14.0+) registers its own handlers for
    prompts and resources directly, bypassing the Server decorators we patch.
    This function patches the _get_prompt_mcp and _read_resource_mcp methods
    to add instrumentation for those handlers.
    """
    if FastMCP is not None and hasattr(FastMCP, "_get_prompt_mcp"):
        original_get_prompt_mcp = FastMCP._get_prompt_mcp

        @wraps(original_get_prompt_mcp)
        async def patched_get_prompt_mcp(
            self: "Any", *args: "Any", **kwargs: "Any"
        ) -> "Any":
            return await _prompt_handler_wrapper(
                original_get_prompt_mcp,
                args,
                kwargs,
                self,
            )

        FastMCP._get_prompt_mcp = patched_get_prompt_mcp

    if FastMCP is not None and hasattr(FastMCP, "_read_resource_mcp"):
        original_read_resource_mcp = FastMCP._read_resource_mcp

        @wraps(original_read_resource_mcp)
        async def patched_read_resource_mcp(
            self: "Any", *args: "Any", **kwargs: "Any"
        ) -> "Any":
            return await _resource_handler_wrapper(
                original_read_resource_mcp,
                args,
                kwargs,
                self,
            )

        FastMCP._read_resource_mcp = patched_read_resource_mcp
