fix: add missing HostedMCPServer class for MCP server implementations

examples/python/custom_tools/hosted_server.py

@@ -0,0 +1,197 @@
+"""
+Hosted MCP Server implementation for PraisonAI Agents.
+
+This module provides a base class for creating hosted MCP servers
+that can handle requests and integrate with the MCP protocol.
+
+Note: This is an example implementation. To use it, ensure you have installed:
+  pip install praisonaiagents[mcp] starlette>=0.27.0
+"""
+
+import asyncio
+import logging
+from typing import Dict, Any, Optional, List, Callable
+import json
+
+try:
+    from mcp.server.fastmcp import FastMCP
+    from mcp.server import Server
+    from starlette.applications import Starlette
+    from starlette.requests import Request
+    from starlette.routing import Mount, Route
+    from mcp.server.sse import SseServerTransport
+    import uvicorn
+except ImportError:
+    raise ImportError(
+        "MCP server dependencies not installed. "
+        "Please install with: pip install praisonaiagents[mcp] starlette>=0.27.0"
+    )
+
+logger = logging.getLogger(__name__)
+
+
+class HostedMCPServer:
+    """
+    Base class for creating hosted MCP servers.
+
+    This class provides a foundation for building MCP servers that can:
+    - Handle incoming requests
+    - Define custom tools
+    - Support SSE transport
+    - Be extended with custom functionality like latency tracking
+    """
+
+    def __init__(self, name: str = "hosted-mcp-server", host: str = "localhost", port: int = 8080):
+        """
+        Initialize the hosted MCP server.
+
+        Args:
+            name: Server name for identification
+            host: Host to bind to (default: localhost)
+            port: Port to listen on (default: 8080)
+        """
+        self.name = name
+        self.host = host
+        self.port = port
+        self.mcp = FastMCP(name)
+        self._tools: Dict[str, Callable] = {}
+        self._server: Optional[Server] = None
+        self._app: Optional[Starlette] = None
+
+    def handle_request(self, request_data: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        Handle incoming MCP requests.
+
+        This method can be overridden in subclasses to add custom request handling,
+        such as latency tracking, authentication, or request modification.
+
+        Args:
+            request_data: The incoming request data
+
+        Returns:
+            Response data
+        """
+        # Default implementation - can be overridden
+        method = request_data.get('method', '')
+        request_id = request_data.get('id', 'unknown')
+
+        logger.debug(f"Handling request {request_id}: {method}")
+
+        # Basic response structure
+        response = {
+            'id': request_id,
+            'jsonrpc': '2.0',
+            'result': {}
+        }
+
+        return response
+
+    def add_tool(self, func: Callable, name: Optional[str] = None, description: Optional[str] = None):
+        """
+        Add a tool to the MCP server.
+
+        Args:
+            func: The function to expose as a tool
+            name: Optional name for the tool (defaults to function name)
+            description: Optional description for the tool
+        """
+        tool_name = name or func.__name__
+
+        # Register with FastMCP
+        if asyncio.iscoroutinefunction(func):
+            # Already async
+            self.mcp.tool(name=tool_name)(func)
+        else:
+            # Wrap sync function in async
+            async def async_wrapper(*args, **kwargs):
+                return func(*args, **kwargs)
+            async_wrapper.__name__ = func.__name__
+            async_wrapper.__doc__ = description or func.__doc__
+            self.mcp.tool(name=tool_name)(async_wrapper)
+
+        self._tools[tool_name] = func
+        logger.info(f"Added tool: {tool_name}")
+
+    def create_app(self, debug: bool = False) -> Starlette:
+        """
+        Create a Starlette application for serving the MCP server.
+
+        Args:
+            debug: Enable debug mode
+
+        Returns:
+            Starlette application instance
+
+        Raises:
+            RuntimeError: If the MCP server is not properly initialized
+        """
+        if not self._server:
+            if not hasattr(self.mcp, '_mcp_server'):
+                raise RuntimeError("MCP server not properly initialized. Ensure FastMCP is correctly set up.")
+            self._server = self.mcp._mcp_server
+
+        sse = SseServerTransport("/messages/")
+
+        async def handle_sse(request: Request) -> None:
+            logger.debug(f"SSE connection from {request.client}")
+            async with sse.connect_sse(
+                request.scope,
+                request.receive,
+                request._send,
+            ) as (read_stream, write_stream):
+                await self._server.run(
+                    read_stream,
+                    write_stream,
+                    self._server.create_initialization_options(),
+                )
+
+        self._app = Starlette(
+            debug=debug,
+            routes=[
+                Route("/sse", endpoint=handle_sse),
+                Mount("/messages/", app=sse.handle_post_message),
+            ],
+        )
+
+        return self._app
+
+    def start(self, debug: bool = False, **uvicorn_kwargs):
+        """
+        Start the MCP server.
+
+        Args:
+            debug: Enable debug mode
+            **uvicorn_kwargs: Additional arguments to pass to uvicorn
+        """
+        app = self.create_app(debug=debug)
+
+        print(f"Starting {self.name} MCP server on {self.host}:{self.port}")
+        print(f"Available tools: {', '.join(self._tools.keys())}")
+        print(f"SSE endpoint: http://{self.host}:{self.port}/sse")
+
+        uvicorn.run(app, host=self.host, port=self.port, **uvicorn_kwargs)
+
+    async def start_async(self, debug: bool = False):
+        """
+        Start the MCP server asynchronously.
+
+        Args:
+            debug: Enable debug mode
+        """
+        app = self.create_app(debug=debug)
+
+        config = uvicorn.Config(app, host=self.host, port=self.port)
+        server = uvicorn.Server(config)
+
+        print(f"Starting {self.name} MCP server on {self.host}:{self.port}")
+        print(f"Available tools: {', '.join(self._tools.keys())}")
+
+        await server.serve()
+
+    def get_tools(self) -> List[str]:
+        """Get list of available tool names."""
+        return list(self._tools.keys())
+
+    def get_endpoint(self) -> str:
+        """Get the SSE endpoint URL."""
+        return f"http://{self.host}:{self.port}/sse"

examples/python/custom_tools/mcp_server_latency_example.py

@@ -6,7 +6,7 @@
 """
 
 from praisonaiagents import Agent, PraisonAIAgents
-from praisonaiagents.mcp import HostedMCPServer
+from hosted_server import HostedMCPServer  # Import from local file
 from latency_tracker_tool import tracker, get_latency_metrics
 import json
 

src/praisonai-agents/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "praisonaiagents"
-version = "0.0.122"
+version = "0.0.123"
 description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
 requires-python = ">=3.10"
 authors = [
@@ -73,4 +73,4 @@ all = [
 
 [tool.setuptools.packages.find]
 where = ["."]
-include = ["praisonaiagents*"]
+include = ["praisonaiagents*"]