a year ago
research-and-dataThis MCP server lets AI assistants access and search your private documents, codebases, and latest tech info. It processes Markdown, text, and PDFs into a searchable database, extending AI knowledge beyond training data. Built with Docker, supports free and paid embeddings, and keeps AI updated with your data.
Overview
what is MCP Server?
MCP Server is a document processing tool that implements a Model Context Protocol (MCP) server for processing Markdown and text files, chunking and tokenizing the content using embedding models.
how to use MCP Server?
To use MCP Server, clone the repository, set up your environment variables in a .env file, place your Markdown and text files in the data/ directory, and run the processing and server commands using Docker.
key features of MCP Server?
- Processes Markdown and text files to generate embeddings.
- Exposes processed content through MCP tools for easy retrieval.
- Supports custom embedding models and configurations.
use cases of MCP Server?
- Document processing for search and retrieval applications.
- Integration with Roo Code for enhanced content management.
- Custom embedding for specialized document types.
FAQ from MCP Server?
- What file types does MCP Server support?
By default, it supports Markdown (.md) and text (.txt) files, with the option to configure additional types.
- Do I need an API key to use MCP Server?
An OpenAI API key is required for embeddings, while an Anthropic API key is optional for response generation.
- Can I use my own embedding model?
Yes! You can implement a custom embedding function and configure it in the
.envfile.