MCP-Server
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The project is a Model Context Protocol (MCP) server designed to enhance the capabilities of AI assistants by providing access to a customized document database. It overcomes AI knowledge cutoffs through document processing, embedding generation, and retrieval services.
🚀 MCP Server for Document Processing
Overview
This project is a Model Context Protocol (MCP) server that enables AI assistants to query and retrieve information from custom document collections, thereby extending their knowledge base with specific, up-to-date content. Key features include:
- Upgrading AI knowledge with the latest framework documentation
- Enabling AI assistants to understand proprietary code patterns and structures
- Importing documentation on new APIs, protocols, or tools
Architecture
- Processing Pipeline: Reads and processes documents to generate embeddings stored in a vector database.
- MCP Server: Allows AI assistants to search and retrieve relevant information.
Prerequisites
- Docker
- Optional OpenAI API key and AI assistant that supports MCP
Supported File Types
- Markdown files
- Text files
- PDF files
- Word documents
Usage
- Process and generate embeddings for your files.
- Build and run the server.
- Connect to an MCP-compatible AI assistant.