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  • june-mcp by Junemind

    june-mcpofficial

    Junemind
    A
    license
    A
    quality
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    maintenance
    Official MCP server connecting hosts to a June knowledge graph for agent memory, search, and cited answers.
    10
    MIT

  • ai-r

    pro-target
    A
    license
    A
    quality
    B
    maintenance
    Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.
    18
    3
    MIT

  • claimbase

    4-R-C-4-N-4
    A
    license
    A
    quality
    B
    maintenance
    Provides a compiled knowledge substrate, extracting atomic claims from an append-only capture log and querying a bitemporal claim graph over MCP. Read-only by default, with opt-in writes for trusted sources.
    4
    MIT

  • turbocontext

    e-x-h-i-b-i-t
    A
    license
    A
    quality
    C
    maintenance
    Enables AI coding agents to intelligently index and search codebases with sub-20ms retrieval, 8x memory compression, and cross-encoder reranking via MCP stdio.
    5
    MIT

  • MCP AI Gateway

    kinhunt
    A
    license
    B
    quality
    F
    maintenance
    Enables AI assistants to intelligently select and switch between different AI models (OpenAI, Anthropic, etc.) within the same conversation based on task requirements. Provides a unified interface for accessing multiple AI providers through a single MCP tool.
    1
    10
    MIT

  • Better Playwright MCP

    livoras
    A
    license
    B
    quality
    D
    maintenance
    A client-server browser automation solution that reduces HTML token usage by up to 90% through semantic snapshots, enabling complex web interactions without exhausting AI context windows.
    28
    20
    15
    MIT
  • 缔零法则Lawgenesis by lawgenesis

    缔零法则Lawgenesisofficial

    lawgenesis
    A
    license
    -
    quality
    D
    maintenance
    缔零法则MCP是基于LLM和RAG技术搭建的实现完全替代人力的全自动化风险识别的内容安全审查平台，致力于通过代理AI技术减少人力成本，高效高精度为用户提供分钟级接入的内容风控解决方案，破解安全威胁，提供从风险感知到主动拦截策略执行的全链路闭环与一体化解决方案。This MCP tool is an AI-powered content security review platform built on LLM and RAG technologies, designed to achieve fully automated risk identification that completel
    MIT
  • @vectros-ai/mcp-server by vectros-ai

    @vectros-ai/mcp-serverofficial

    vectros-ai
    A
    license
    -
    quality
    A
    maintenance
    MCP server for Vectros, a typed multi-tenant record store with hybrid search and citation-grounded RAG, enabling agents to query, search, and ask questions over their own indexed data.
    80
    1
    Apache 2.0

  • Docs-to-AI

    dorianmeric
    A
    license
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    quality
    C
    maintenance
    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
    1
    MIT

  • Document Q&A MCP Server

    SY-MR-CODER
    A
    license
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    quality
    D
    maintenance
    A 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

  • maximo-mcp-ai-integration

    markusvankempen
    A
    license
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    quality
    D
    maintenance
    he Maximo MCP Server bridges AI agents (Claude, Cursor, Antigravity) with your IBM Maximo environment. It empowers your AI to autonomously discover Object Structures (APIs), inspect schemas, and query live data via OSLC. Instead of hallucinating field names, the AI validates queries instantly and ca
    35
    8
    Apache 2.0

  • Document Q&A MCP Server

    sprchr
    A
    license
    -
    quality
    D
    maintenance
    Enables 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