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    An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.
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    A Python implementation of the Model Context Protocol (MCP) server that enables searching and extracting information from arXiv papers, designed to be extensible with additional MCP tools.
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    A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.
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    MIT
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    Connect AI assistants to your Gramps Web family tree. Search and edit genealogy records, explore ancestors, descendants, relationships and timelines, and read document scans with vision-capable models. Includes guided research workflows, source citations, read-only mode, and privacy-aware media previews. Install with Docker or a Claude Desktop bundle.
    6
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    AGPL 3.0
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    Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.
    10
    MIT
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    Enables AI clients to browse instruments, items, dimensions, expert assignments, and calculate Content Validity Index (CVI) via a standard MCP interface.
    11
    MIT
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    Enables AI agents to perform corpus analysis tasks such as discovery, search, and data access via the Model Context Protocol.
    11
    MIT
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    MCP server for reading OPC events from the OPC one-person company tool station via personal API key. It provides an opc_list_events tool to fetch event lists, designed for use with Claude Desktop, Cursor, and Cline.
    MIT
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    Enables AI clients to search a user's licensed Logos library, retrieve targeted passages and bounded context blocks, and support human-initiated research through an authenticated local Safari session.
    MIT
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    Enables managing Zotero libraries via the official Web API v3, including searching, creating, editing, and deleting items, collections, tags, notes, attachments, and performing batch operations, syncs, and file uploads/downloads.
    MIT
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    Provides local, evidence-aware research memory with human review, revision history, and an inspector, allowing assistants to preserve source reports, inferences, assumptions, and evidence across sessions.
    2 npm
    MIT
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    Enables running the same prompt(s) across roughly 300 models from Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, Qwen and others, then comparing per-model outputs, latency, token usage, error rates and billed cost side by side. Supports free cost estimates before launching, asynchronous run creation with status polling and cancellation, prepaid x402 credit top-ups, and an optional AI-written comparison summary of the results.
    20 npm
    MIT