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by Haohao-end • Uncategorized
A Python-based MCP server enabling LLMs to interact with external tools and knowledge bases via standardized communication.
Integrate real-time external APIs like weather services.
Perform retrieval-augmented generation with document ingestion and vector search.
That require asynchronous, multi-turn reasoning with persistent conversation state.
The MCP Agent Orchestrator provides a structured environment for Large Language Models to perform tool discovery, execute tool calls, and manage multi-turn reasoning through a decoupled client-server architecture. It includes specialized servers for real-time weather data and retrieval-augmented generation (RAG) knowledge bases, integrating APIs, vector databases, and embeddings for enhanced document intelligence. This setup facilitates seamless asynchronous communication and persistent conversation state management.
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