MCP RAG System

by nitin-kumar101

Overview Schema Source Related Servers Discussions Admin

Python

Local

Related Servers

Alternatives to MCP RAG System

No user-submitted related servers found.

Related Servers

EyeLevel RAG MCP Server
RAG Systems Vector Databases Knowledge & Memory
wannabidr
F
license
Not graded
quality
Not graded
maintenance
A local Retrieval-Augmented Generation system that enables users to ingest markdown files into a FAISS-powered vector knowledge base for semantic search. It provides tools for document indexing and context retrieval to support informed LLM queries without external dependencies.
Updated 8 months ago (2026-01-21 02:52 UTC)
-
Local Knowledge RAG MCP Server
RAG Systems Search Knowledge & Memory
patakuti
A
license
Not graded
quality
C
maintenance
Semantic search and retrieval system for local documents using vector embeddings, enabling AI-powered search across your document collections with support for multiple embedding providers.
Updated 12 days ago (2026-09-12 09:28 UTC)
9
MIT
RAG Database MCP Server
RAG Systems Vector Databases Search
Human-center
F
license
Not graded
quality
D
maintenance
Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.
Updated a year ago (2025-09-14 03:01 UTC)
-
PDF RAG MCP Server
RAG Systems Vector Databases Documentation Access
wesleygriffin
A
license
Not graded
quality
D
maintenance
Enables intelligent search and question-answering over PDF documents using semantic similarity and keyword search. Supports OCR for scanned PDFs, persistent vector storage with ChromaDB, and maintains source tracking with page numbers.
Updated 10 months ago (2025-11-11 03:07 UTC)
7
MIT
MCP PDF Server
RAG Systems Vector Databases Search
BhagyeshRashinkar
A
license
Not graded
quality
D
maintenance
Enables AI assistants to query PDF documents by ingesting them into a vector database and generating answers grounded in the actual documents.
Updated 7 months ago (2026-03-05 11:09 UTC)
12 npm
1
MIT
SuiAgentic
Vector Databases RAG Systems Search
jasong-03
F
license
Not graded
quality
D
maintenance
A FastAPI-based application that enables document embedding and semantic retrieval using Qdrant vector database, allowing users to convert documents into embeddings and retrieve relevant content through natural language queries.
Updated a year ago (2025-05-10 08:20 UTC)
-