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maintenanceEnables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
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"A GitHub repository for an MCP server with a clear description of config.json" matching MCP servers:
- Flicense-qualityDmaintenanceProvides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.10
- FlicenseCqualityFmaintenanceProvide systematic thinking, mental models, and debugging approaches to enhance problem-solving capabilities. Enable structured reasoning and decision-making support for complex problems. Facilitate integration with MCP-compatible clients for advanced cognitive workflows.115
- Alicense-qualityBmaintenanceMCP server that provides a citation-first memory layer for AI agents, enabling verified search across Git-backed repositories and optional conversation memory. It exposes tools for doctor, sync, search, get, init, and ingest, returning JSON results with verified citations or abstain status.MIT
- Alicense-qualityBmaintenanceEnables AI agents to search, read, and traverse a local knowledge base of Markdown files using full-text search and relationship graph, reducing token usage.MIT
- AlicenseAqualityCmaintenanceProvides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.4MIT
- Alicense-qualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- Flicense-qualityCmaintenanceEnables users to ingest PDF/DOCX/TXT/MD documents and ask natural language questions about them, using local embeddings and Groq-powered retrieval-augmented generation.
- MIT
- FlicenseBqualityDmaintenanceAn MCP server that allows Claude and other MCP-compatible LLMs to interact with the GitHub API, supporting features like creating issues, getting repository information, listing issues, and searching repositories.4
- FlicenseDqualityDmaintenanceAn MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.112
- Alicense-qualityBmaintenanceEnables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.MIT
- Alicense-qualityDmaintenanceA Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.MIT
- Alicense-qualityBmaintenanceEnables natural language search and querying of your GitHub starred repositories.7112Apache 2.0
- Alicense-qualityDmaintenanceEnables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.MIT
- Alicense-qualityBmaintenanceProvides LLM-free search tools across Confluence, JIRA, code, and project knowledge for any MCP client.1MIT
- Alicense-qualityDmaintenanceMCP server for integrating LightRAG with AI tools. Provides a unified interface for interacting with LightRAG API through the MCP protocol.1MIT
- Alicense-qualityAmaintenanceA personal RAG MCP server that indexes your GitHub commits and review comments, surfacing them as retrieval hits to help Claude Code write or review code in your style.MIT
- Alicense-qualityDmaintenanceA scientific reasoning framework that leverages graph structures and the Model Context Protocol (MCP) to process complex scientific queries through an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) approach.31MIT
- Flicense-qualityDmaintenanceThe MCP server provides tools for entity extraction, query refinement, and relevance checking to enhance RAG applications by integrating with OpenAI and Gemini.