Tools for Automatically Indexing Code Files and RAG (Retrieval-Augmented Generation) – MCP tools

memvid_ask
memvid-mcp
Ask questions about memory files using retrieval-augmented generation to get answers from stored content with configurable search modes.
MIT
upload_file
Gemini RAG MCP Server
Upload files to process and index them for searchable knowledge retrieval using RAG (Retrieval-Augmented Generation) technology.
MIT
tavily_search_context
Tavily Cursor MCP Server
Generate search results optimized for RAG context by providing relevant web content for retrieval-augmented generation applications.
venice_create_embeddings
Venice MCP Server
Generate text embeddings to enable semantic search and Retrieval-Augmented Generation (RAG) applications.
MIT
web_content_qna
MCP WebAnalyzer
Extract and analyze web page content to answer specific questions using RAG (Retrieval Augmented Generation). Provide AI-generated responses based on relevant page sections for accurate insights.
MIT
search_code
RAG MCP Server
Perform semantic searches across indexed codebases using RAG (Retrieval-Augmented Generation) to find relevant code snippets based on meaning and context.

Interested in MCP?

Join the MCP community for support and updates.