Servers Prototype
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Demonstrates integrating large language model agents with external tools and APIs using the Model Context Protocol.
About
Explore a prototype implementation of Model Context Protocol (MCP) servers and adapters, designed to showcase how large language model (LLM) agents can seamlessly integrate with external tools and APIs. This project features LangChain MCP Adapters, offering various example servers (math, weather, PII), alongside a dedicated Python-based Shell Server, providing a comprehensive demonstration of MCP's capabilities for extending LLM functionality and addressing security concerns like PII handling.
Key Features
- Docker Support for easy deployment
- Example Servers (Math, Weather, PII)
- LangChain Integration
- Multiple Server Types (stdio, SSE)
- 0 GitHub stars
- Secure PII Handling with session tracking
Use Cases
- Building custom MCP servers for specific functionalities like math or PII processing
- Demonstrating Model Context Protocol (MCP) integration with LLM agents
- Integrating LangChain with external tools and APIs via MCP