add event tracking and query API for monitoring MCP operations

Author: calmini

src/mcpm/monitor/base.py

@@ -7,6 +7,37 @@
 from enum import Enum, auto
 from typing import Any, Dict, Optional, Union
 
+from pydantic import BaseModel, Field
+
+
+class Pagination(BaseModel):
+    total: int = Field(description="Total number of events")
+    page: int = Field(description="Page number")
+    limit: int = Field(description="Number of events per page")
+    total_pages: int = Field(description="Total number of pages")
+
+
+class MCPEvent(BaseModel):
+    id: int = Field(description="Event ID")
+    event_type: str = Field(description="Event type")
+    server_id: str = Field(description="Server ID")
+    resource_id: str = Field(description="Resource ID")
+    client_id: Optional[str] = Field(description="Client ID")
+    timestamp: str = Field(description="Event timestamp")
+    duration_ms: Optional[int] = Field(description="Event duration in milliseconds")
+    request_size: Optional[int] = Field(description="Request size in bytes")
+    response_size: Optional[int] = Field(description="Response size in bytes")
+    success: bool = Field(description="Event success status")
+    error_message: Optional[str] = Field(description="Error message")
+    metadata: Optional[Dict[str, Any]] = Field(description="Event metadata")
+    raw_request: Optional[Union[str, Dict]] = Field(description="Raw request data")
+    raw_response: Optional[Union[str, Dict]] = Field(description="Raw response data")
+
+
+class QueryEventResponse(BaseModel):
+    pagination: Pagination = Field(description="Pagination information")
+    events: list[MCPEvent] = Field(description="List of events")
+
 
 class AccessEventType(Enum):
     """Type of MCP access event"""
@@ -75,3 +106,21 @@ async def close(self) -> None:
         Close any open connections to the storage backend
         """
         pass
+
+    @abstractmethod
+    async def query_events(
+        self, offset: str, page: int, limit: int, event_type: Optional[str] = None
+    ) -> QueryEventResponse:
+        """
+        Query events from the storage backend
+
+        Args:
+            offset: Time offset for the query
+            page: Page number
+            limit: Number of events per page
+            event_type: Type of events to query (optional)
+
+        Returns:
+            QueryEventResponse: List of events matching the query
+        """
+        pass

src/mcpm/monitor/duckdb.py

@@ -10,7 +10,7 @@
 
 import duckdb
 
-from mcpm.monitor.base import AccessEventType, AccessMonitor
+from mcpm.monitor.base import AccessEventType, AccessMonitor, MCPEvent, Pagination, QueryEventResponse
 from mcpm.utils.config import ConfigManager
 
 
@@ -234,6 +234,133 @@ def _track_event_impl(
             print(f"Error tracking event: {e}")
             return False
 
+    async def query_events(
+        self, offset: str, page: int, limit: int, event_type: Optional[str] = None
+    ) -> QueryEventResponse:
+        """
+        Query events from the database with pagination.
+
+        Args:
+            offset: Time offset pattern like "3h" for past 3 hours, "1d" for past day, etc.
+            page: Page number (1-based)
+            limit: Number of events per page
+            event_type: Type of events to filter by
+
+        Returns:
+            Dict containing events, total count, page, and limit
+        """
+        if not self._initialized:
+            if not await self.initialize_storage():
+                return QueryEventResponse(pagination=Pagination(total=0, page=0, limit=0, total_pages=0), events=[])
+
+        async with self._lock:
+            response = await asyncio.to_thread(
+                self._query_events_impl,
+                offset,
+                page,
+                limit,
+                event_type,
+            )
+            return response
+
+    def _query_events_impl(
+        self,
+        offset: str,
+        page: int,
+        limit: int,
+        event_type: Optional[str],
+    ) -> QueryEventResponse:
+        """
+        Query events from the storage backend
+
+        Args:
+            offset: Time offset for the query
+            page: Page number
+            limit: Number of events per page
+            event_type: Type of events to query (optional)
+
+        Returns:
+            QueryEventResponse: List of events matching the query
+        """
+        try:
+            # Build the base query and conditions
+            conditions = []
+            parameters = []
+
+            # handle time offset
+            time_value = 0
+            time_unit = ""
+
+            # Parse offset pattern like "3h", "1d", etc.
+            for i, char in enumerate(offset):
+                if char.isdigit():
+                    time_value = time_value * 10 + int(char)
+                else:
+                    time_unit = offset[i:]
+                    break
+
+            if time_unit and time_value > 0:
+                # Convert to SQL interval format
+                interval_map = {"h": "HOUR", "d": "DAY", "w": "WEEK", "m": "MONTH"}
+
+                if time_unit.lower() in interval_map:
+                    conditions.append(
+                        f"timestamp >= TIMESTAMP '{datetime.now()}' - INTERVAL {time_value} {interval_map.get(time_unit.lower())}"
+                    )
+            else:
+                return QueryEventResponse(pagination=Pagination(total=0, page=0, limit=0, total_pages=0), events=[])
+
+            if event_type:
+                conditions.append("event_type = ?")
+                parameters.append(event_type)
+
+            # Build the final query
+            where_clause = " AND ".join(conditions)
+            if where_clause:
+                where_clause = f"WHERE {where_clause}"
+
+            sql_offset = (page - 1) * limit
+            # Get total count
+            count_query = f"SELECT COUNT(*) FROM monitor_events {where_clause}"
+            total_result = self.connection.execute(count_query, parameters).fetchone()
+            total = total_result[0] if total_result else 0
+
+            # Get paginated results
+            query = f"""
+                SELECT * FROM monitor_events
+                {where_clause}
+                ORDER BY timestamp DESC
+                LIMIT ? OFFSET ?
+            """
+            cursor = self.connection.execute(query, parameters + [limit, sql_offset])
+
+            # Convert result to dictionary
+            column_names = [desc[0] for desc in cursor.description]
+            events = []
+
+            for row in cursor.fetchall():
+                event_dict = dict(zip(column_names, row))
+
+                for field in ["metadata", "raw_request", "raw_response"]:
+                    if event_dict[field] and isinstance(event_dict[field], str):
+                        try:
+                            event_dict[field] = json.loads(event_dict[field])
+                        except Exception:
+                            pass
+
+                event_dict["timestamp"] = datetime.strftime(event_dict["timestamp"], "%Y-%m-%d %H:%M:%S")
+                events.append(MCPEvent.model_validate(event_dict))
+
+            return QueryEventResponse(
+                pagination=Pagination(
+                    total=total, page=page, limit=limit, total_pages=1 if limit == 0 else (total + limit - 1) // limit
+                ),
+                events=events,
+            )
+        except Exception as e:
+            print(f"Error querying events: {e}")
+            return QueryEventResponse(pagination=Pagination(total=0, page=0, limit=0, total_pages=0), events=[])
+
     async def close(self) -> None:
         """Close the database connection asynchronously."""
         async with self._lock:

src/mcpm/monitor/event.py

@@ -0,0 +1,110 @@
+import datetime
+import time
+import typing
+from functools import wraps
+
+from mcp.types import (
+    CallToolRequest,
+    CallToolResult,
+    EmptyResult,
+    GetPromptRequest,
+    ReadResourceRequest,
+    Request,
+    ServerResult,
+    TextContent,
+)
+
+from mcpm.utils.config import PROMPT_SPLITOR, RESOURCE_SPLITOR, TOOL_SPLITOR
+
+from .base import AccessEventType
+from .duckdb import DuckDBAccessMonitor
+
+monitor = DuckDBAccessMonitor()
+
+RequestT = typing.TypeVar("RequestT", bound=Request)
+MCPRequestHandler = typing.Callable[[RequestT], typing.Awaitable[ServerResult]]
+
+
+class TraceIdentifier(typing.TypedDict):
+    client_id: str
+    server_id: str
+    resource_id: str
+
+
+class ResponseStatus(typing.TypedDict):
+    success: bool
+    error_message: str
+
+
+def get_trace_identifier(req: Request) -> TraceIdentifier:
+    resource_id = ""
+    if isinstance(req, CallToolRequest):
+        server_id = req.params.name.split(TOOL_SPLITOR, 1)[0]
+    elif isinstance(req, GetPromptRequest):
+        server_id = req.params.name.split(PROMPT_SPLITOR, 1)[0]
+    elif isinstance(req, ReadResourceRequest):
+        # resource uri is formatted as {server_id}:{protocol}://{resource_path}
+        server_id, resource_id = str(req.params.uri).split(RESOURCE_SPLITOR, 1)
+    else:
+        # currently only support call tool, get prompt and read resource
+        server_id = ""
+        resource_id = ""
+
+    return TraceIdentifier(client_id=req.params.meta.client_id, server_id=server_id, resource_id=resource_id)  # type: ignore
+
+
+def get_response_status(server_result: ServerResult) -> ResponseStatus:
+    result_root = server_result.root
+
+    if isinstance(result_root, EmptyResult):
+        return ResponseStatus(success=False, error_message="empty result")
+
+    if isinstance(result_root, CallToolResult):
+        if result_root.isError:
+            return ResponseStatus(
+                success=False,
+                error_message=typing.cast(TextContent, result_root.content[0]).text,
+            )
+        else:
+            return ResponseStatus(
+                success=True,
+                error_message="",
+            )
+
+    return ResponseStatus(success=True, error_message="")
+
+
+def trace_event(event_type: AccessEventType):
+    def decorator(func: MCPRequestHandler):
+        @wraps(func)
+        async def wrapper(request: Request):
+            request_time = datetime.datetime.now().replace(microsecond=0)
+            start_time = time.perf_counter()
+            # parse client id, server id and resource id (optional) from request
+            trace_identifier = get_trace_identifier(request)
+
+            response: ServerResult = await func(request)
+
+            # empty results and call tool failures are treated as not success
+            response_status: ResponseStatus = get_response_status(response)
+
+            await monitor.track_event(
+                event_type=event_type,
+                server_id=trace_identifier["server_id"],
+                client_id=trace_identifier["client_id"],
+                resource_id=trace_identifier["resource_id"],
+                timestamp=request_time,
+                duration_ms=int((time.perf_counter() - start_time) * 1000),
+                request_size=len(request.params.model_dump_json().encode("utf-8")),
+                response_size=len(response.root.model_dump_json().encode("utf-8")),
+                success=response_status["success"],
+                error_message=response_status["error_message"],
+                metadata=None,
+                raw_request=request.model_dump_json(),
+                raw_response=response.root.model_dump_json(),
+            )
+            return response
+
+        return wrapper
+
+    return decorator