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Servers Prototype
Demonstrates integrating large language model agents with external tools and APIs using the Model Context Protocol.
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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.
API Development
Developer Tools
Data Science & ML
