RAG Chat Assistant with MCP

Example Use Cases

• 1

  Ingest and semantically search multi-format documents.

• 2

  Retrieve relevant document chunks and generate contextual answers using multiple LLM providers.

• 3

  That require modular tool integration and concurrent document processing via MCP.

Description

This MCP server integrates with a Streamlit-based RAG chat assistant that supports ingestion of various document formats and uses ChromaDB for vector storage. It provides modular tool-based APIs for document ingestion, retrieval, and database management, supporting multiple LLM providers including OpenAI and Ollama. The server enables concurrent processing and seamless tool calling via the Model Context Protocol, enhancing extensibility and performance for AI-powered document querying.