F
licenseNot graded
qualityD
maintenanceA local RAG server using the Model Context Protocol (MCP) to allow AI assistants to query private documents with persistent memory and support for many file formats.
1
-
MCP RAG Agent
by elandy
Related Servers
Alternatives to MCP RAG Agent
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceA local-first AI secretary that gathers your work context into private memory and enables AI agents to search and summarize it over MCP.67 npmMIT
- AlicenseNot gradedqualityCmaintenanceA Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.1MIT
- FlicenseNot gradedqualityCmaintenanceA local-first, LLM-agnostic MCP server that lets you ask hard questions about your documents, media, and code, and get traceable answers entirely offline.-
- AlicenseNot gradedqualityAmaintenanceA local-first RAG engine that ingests documents (PDF, Markdown, images, etc.) and provides hybrid search, reranking, and LLM answer synthesis via MCP for AI agent integration.69 PyPI1MIT
- FlicenseBqualityCmaintenanceA fully local, privacy-first MCP server that gives AI coding assistants deep repository intelligence with file-and-line-cited answers, persistent semantic memory, and agentic abilities like task planning and code review—all without any cloud API calls.23-
TDQS
C2.9/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of confusion between tools.
Naming Consistency4/5
The single tool name 'retrieve_documents' follows a clear verb_noun pattern and is descriptive, but there is no set of tools to evaluate consistency.
Tool Count2/5
A RAG agent typically requires multiple tools (e.g., retrieval and generation). A single tool is too few for the stated purpose.
Completeness2/5
The tool set covers only retrieval, missing essential capabilities like generation or query processing for a RAG agent.
Maintenance
ActivitySlowing
ResponsivenessNo issues