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    Enables AI assistants to query a self-hosted, personally ranked news corpus, returning cited answers grounded in the user's own interests and sources without external data transmission.
    AGPL 3.0
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    Agentic NewsAPI.org MCP server with semantic search, article versioning, ChromaDB retrieval, and Supabase persistence, enabling efficient news article access and management.
    MIT
  • F
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    Enables MCP-based access to Adhoc documentation, providing search, content retrieval, and feedback issue creation with audience gating and leak protection.
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    Provides tools to fetch and search news from The Verge's RSS feed, allowing users to get today's news, retrieve random articles from the past week, and search for specific keywords in recent Verge content.
    3
    3 npm
    3
    MIT
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    Fetches news articles from Google News, vectorizes them locally using ChromaDB, and enables semantic search through natural language queries.
    2
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    Enables fact-checking of news headlines using Google Gemini AI and web search verification, and retrieves trending news topics from RSS feeds with comprehensive multi-source analysis.
    1
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    A remote MCP server that enables searching for news articles on specific topics through the Tavily API without requiring authentication.
    -
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    Enables local Vietnamese ecommerce copy preparation, source-grounded RAG retrieval, offline voice previews, correction-memory feedback, hook review, and fine-tuning dataset preparation without publishing posts or approving audio.
    MIT
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    Enables AI agents to answer Power Platform governance questions — data policies, connectors, environments, Managed Environments, security roles, the CoE Starter Kit and ALM — using hybrid keyword-plus-semantic search over Microsoft's documentation, with a deep link to the exact section behind every answer. It runs locally without API keys, offers read-only search, section-reading and document-listing tools, and connects to Claude, VS Code and Copilot Studio.
    MIT
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    Enables retrieval-augmented question answering with source-grounded citations, document retrieval, and idempotent ingestion through MCP tools.
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    Enables governed, read-only SQL analytics, hybrid RAG knowledge search, financial metric calculation, and database schema introspection through MCP, with role-based access control, audit logging, and AI observability.
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    A reusable runtime infrastructure for hosting Model Context Protocol servers and tool registries over HTTP. It provides built-in validation, authentication, and logging to simplify the deployment of AI-powered workflows.
    MIT
  • F
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    High-performance Model Context Protocol server supporting multiple LLM providers (OpenRouter, OpenAI, Groq) with WebSocket API and conversation history persistence.
    -
  • A
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    Read-only MCP server for a content contract layer: protocol, modules, pipelines, assets, library. 一句话 / One-liner(ZH):给任何 AI agent 一个可校验的内容规范与资产底座——先查契约,再落笔。 描述 / Description:只读 MCP 服务器:把长内容的验收标准(协议 / 模块 / 管线 / 资产 / 馆藏)变成 agent 可调用的检索与取件工具面。10 个只读工具 + 1 个 prompt(assemble_guide);支持 modern 2026-07-28 与 legacy 2025-11-25 双协议;零第三方依赖(Python 标准库);无写路径。 仓库 / Repo:https://github.com/Monyeah777/NinFenz 站点
    12
    1
    AGPL 3.0
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    MCP server for RSS aggregation and LLM summarization, allowing users to fetch latest articles, search archives, and generate topic-specific digests via natural language.
    7
    MIT
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    A server that leverages Cloudflare Browser Rendering to extract and process web content for use as context in LLMs, offering tools for fetching pages, searching documentation, extracting structured content, and summarizing content.
    4
    12
    MIT
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    Enables governed, audit-traced AI access to a curated knowledge base through the Model Context Protocol, with OAuth 2.1 authentication and policy enforcement for secure, compliant queries.
    Apache 2.0
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    A powerful AI service platform that provides complete MCP tool calling capabilities and RAG knowledge base functionality, enabling users to connect to multiple MCP servers and perform intelligent document search.
    Apache 2.0