MCP-MESSENGER

by mcpmessenger

MCP Client
  • agent-framework

**SlashMCP** is a production-grade AI workspace that connects LLMs to real-world data and tools through an intuitive chat interface. Built on the Model Context Protocol (MCP), it enables seamless interaction with multiple AI providers (OpenAI, Claude, Gemini) while providing powe

About

What is MCP-MESSENGER?

MCP-MESSENGER is a production-ready backend server that wraps a LangChain agent as a high-level MCP Tool. It is built with FastAPI, deployed on Google Cloud Run, and designed for developers who need scalable, serverless AI agent capabilities exposed via the Model Context Protocol.

How to use MCP-MESSENGER?

The server is live at a public

Details

Author
mcpmessenger
Category
agent-framework
Repository
mcpmessenger/slashmcp

LangChain Agent MCP Server

A production-ready MCP server exposing LangChain agent capabilities through the Model Context Protocol, deployed on Google Cloud Run.

Overview

This is a standalone backend service that wraps a LangChain agent as a single, high-level MCP Tool. The server is built with FastAPI and deployed on Google Cloud Run, providing a scalable, production-ready solution for exposing AI agent capabilities to any MCP-compliant client. Live Service: https://langchain-agent-mcp-server-554655392699.us-central1.run.app

Features

- ✅ MCP Compliance - Full Model Context Protocol support - ✅ LangChain Agent - Multi-step reasoning with ReAct pattern - ✅ Google Cloud Run - Scalable, serverless deployment - ✅ Tool Support - Extensible framework for custom tools - ✅ Production Ready - Error handling, logging, and monitoring - ✅ Docker Support - Containerized for easy deployment

Available Tools

The server exposes a single high-level tool: - agent_executor - Execute complex, multi-step reasoning tasks using a LangChain agent. The agent can use tools like web search and weather lookup to answer questions and perform tasks.

API Endpoints

- GET /mcp/manifest - Returns tool definitions - POST /mcp/invoke - Executes the agent with a user query - GET /health - Health check endpoint - GET /docs - Interactive API documentation

Documentation

📖 Full Documentation - Complete documentation with examples GitHub Repository: https://github.com/mcpmessenger/LangchainMCP