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"A resource or repository of information and knowledge" matching MCP servers:

  • F
    license
    Not graded
    quality
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    maintenance
    An MCP server that connects to the Resource Hub, allowing centralized configuration and management of tools and resources across different MCP environments.
    4
  • A
    license
    A
    quality
    C
    maintenance
    A self-hosted, MIT-licensed MCP server that securely connects private documents and markdown files to LLMs. It provides a lightweight, local-first RAG infrastructure compatible with any MCP-enabled AI client or framework.
    3
    5
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Vendor-neutral MCP server for knowledge retrieval across repositories, offering stable tools for searching, getting, and listing documents with hybrid lexical and optional semantic search.
    3
    MIT
  • A
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    quality
    C
    maintenance
    A knowledge base MCP server that aggregates team knowledge from multiple sources into Postgres. It provides hybrid search (full-text + vector + RRF) via MCP tools, and enables direct recording of decisions, learnings, and pitfalls.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.
    14
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server that enables AI agents to query specialized, domain-specific knowledge bases built using the LightRAG framework for enhanced retrieval-augmented generation. It allows for managing and searching knowledge graphs and vector embeddings to provide accurate, context-aware information during an AI assistant's reasoning process.
    59
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Provides a read-only MCP interface to the Santismm Knowledge Platform, offering tools to retrieve curated content on engineering, AI patterns, architectures, governance, and agent taxonomy with structured output in English, Spanish, and Portuguese.
    14
    13
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    MCP server with 12 tools for design, UX, conversion, and product knowledge from Frontend Masters courses by Paul Boag and Sarah Drasner, enabling audits, accessibility checks, layout recommendations, and more.
    12
  • F
    license
    A
    quality
    C
    maintenance
    A production-grade RAG server with a centralized knowledge base, offering both MCP and REST APIs for semantic search, document ingestion, and RAG-based answers.
    12
  • F
    license
    A
    quality
    B
    maintenance
    A read-only MCP server that enables AI clients to search a knowledge base and retrieve complete source documents via narrow search and fetch tools.
    2
  • A
    license
    B
    quality
    D
    maintenance
    Transforms YouTube into a queryable knowledge source with search, video details, transcript analysis, and AI-powered tools for summaries, learning paths, and knowledge graphs. Features quota-aware API access with caching and optional OpenAI/Anthropic integration for advanced content analysis.
    10
    590
    1
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.
    15
    52
    21
    MIT
  • F
    license
    B
    quality
    B
    maintenance
    An MCP server for indexing and searching Commodore 64 documentation using full-text, semantic, and fuzzy search across multiple file formats. It enables RAG-based question answering, entity extraction, and interactive timeline or knowledge graph visualizations.
    94
  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.
    53
    MIT