Este proyecto implementa un servidor compatible con el Protocolo de Contexto de Modelo (MCP) que dota a los clientes de IA (como Cursor, Claude for Desktop, etc.) de una capacidad de Recuperación…
mcp-rag is an MCP project maintained in the caagudelo/mcp_rag repository. The maintainer describes its purpose as “Este proyecto implementa un servidor compatible con el Protocolo de Contexto de Modelo (MCP) que dota a los clientes de IA (como Cursor, Claude for…”. Read the project documentation for the complete scope.
The project provides a local client configuration using D:\ruta\completa\a\tu\proyecto\MCP_RAG\mcp_server_organized\run_server_organized.bat. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"rag": {
"command": "D:\\ruta\\completa\\a\\tu\\proyecto\\MCP_RAG\\mcp_server_organized\\run_server_organized.bat",
"args": [],
"workingDirectory": "D:\\ruta\\completa\\a\\tu\\proyecto\\MCP_RAG"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Official Redis server — search keys, inspect data structures and manage caches in natural language.
Enables AI agents and LLMs to interact with the web and extract information from web pages via the RAG Web Browser Actor.
Enables semantic search and retrieval of documentation using a vector database, allowing users to add and query documentation from URLs or local
Augments AI responses with relevant documentation context through vector search.
Augment AI responses with context by retrieving and processing documentation through vector search.
Enables semantic analysis of chat conversations through vector embeddings and knowledge graphs.