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LangChain Agent MCP Server - Delivery Note

Project: LangChain Agent MCP Server
Status: ✅ Complete and Ready for Use
Date: January 2025

What You're Receiving

A production-ready backend server that exposes LangChain AI agent capabilities through the Model Context Protocol (MCP). The server is fully functional, tested, and ready for deployment.

Quick Start

  1. Install dependencies:

    py -m pip install -r requirements.txt

  2. Set your OpenAI API key in the .env file:

    OPENAI_API_KEY=your-key-here

  3. Start the server:

    py run_server.py

  4. Access the server:

Key Features

✅ MCP-Compliant Endpoints - Full Model Context Protocol support
✅ LangChain Agent Integration - Multi-step reasoning capabilities
✅ Extensible Tool Framework - Easy to add custom tools
✅ Error Handling - Comprehensive error management
✅ Docker Support - Ready for containerized deployment
✅ Complete Test Suite - All endpoints tested
✅ Full Documentation - Technical docs and client handoff included

What's Included

  • Complete source code with documentation
  • Docker configuration for easy deployment
  • Comprehensive test suite
  • Technical documentation (README_BACKEND.md)
  • Client handoff document (CLIENT_HANDOFF.md)
  • Helper scripts for easy startup

Main Endpoints

  • GET /mcp/manifest - Returns available tools
  • POST /mcp/invoke - Executes agent with user query

Configuration

All configuration is done via the .env file. Key settings:

  • OPENAI_API_KEY (required)
  • OPENAI_MODEL (default: gpt-4o-mini)
  • PORT (default: 8000)
  • API_KEY (optional, for authentication)

Documentation

  • Technical Details: See README_BACKEND.md
  • Client Overview: See CLIENT_HANDOFF.md
  • API Docs: Available at /docs when server is running

Support

All code is well-documented and follows best practices. For questions:

  1. Check the documentation files
  2. Review the test suite for usage examples
  3. Access the interactive API docs at /docs

Ready for Production Use ✅