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Watsonx Rag MCP Server
This project builds a Retrieval Augmented Generation (RAG) server based on IBM Watsonx.ai, uses ChromaDB for vector indexing, and exposes interfaces through the Model Context Protocol (MCP). The system can process PDF documents and answer questions based on the document content, realizing an intelligent question answering function that combines large language models with specific domain knowledge.
Python
3.7K
2.5 points
Pdf
The PDF MCP Service is a Python-based PDF processing service that provides a quick start and configuration guide.
Python
3.4K
2 points
MCP Docs Reader
A lightweight MCP server project for loading local PDF files, extracting and chunking content, building semantic search indexes, and sending relevant paragraphs to Claude Desktop for document-based Q&A.
Python
3.3K
2 points
MCP Server Pdfme
MCP Server PDF Processing Service
3.4K
2.5 points
MCP Ev Assistant Server
A powerful electric vehicle service management server that provides comprehensive services such as charging station location, trip planning, and resource management.
Python
3.4K
2 points
PDF Forms
A PDF form processing toolkit based on MCP and PyMuPDF
Python
3.2K
2.5 points
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