Skip to main content
Glama

LiveKit RAG Assistant

by THENABILMAN
minimal_server.py•1.43 kB
""" Minimal MCP Server for testing """ import asyncio import sys from mcp.server import Server from mcp.server.stdio import stdio_server from mcp.types import Tool, TextContent, CallToolResult from mcp.server.models import InitializationOptions # Create server server = Server("test-server") @server.list_tools() async def list_tools(): """List tools.""" return [ Tool( name="echo", description="Echo the input" ) ] @server.call_tool() async def call_tool(name: str, arguments: dict) -> CallToolResult: """Call a tool.""" import sys print(f"DEBUG: call_tool called with name={name}, arguments={arguments}", file=sys.stderr) if name == "echo": text = arguments.get("text", "") if arguments else "" return CallToolResult( content=[TextContent(type="text", text=f"You said: {text}")] ) else: return CallToolResult( content=[TextContent(type="text", text=f"Unknown tool: {name}")], isError=True ) async def main(): """Run the server.""" async with stdio_server() as (read, write): await server.run( read, write, InitializationOptions( server_name="test-server", server_version="1.0.0", capabilities={} ) ) if __name__ == "__main__": asyncio.run(main())

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/THENABILMAN/THENABILMAN_LiveKit_MCP_Assistant'

If you have feedback or need assistance with the MCP directory API, please join our Discord server