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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.
    1
    4
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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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    Enables AI agents to perform corpus analysis tasks such as discovery, search, and data access via the Model Context Protocol.
    10
    MIT
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    The MCP server for AlphaForge — the agent-native quant CLI: write strategies in JSON, optimize with Optuna TPE, validate with walk-forward, export to TradingView Pine v6. This server lets your AI agent drive the whole pipeline over MCP.
    17
    1
    Apache 2.0
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    MCP server for foldkit that exposes the 7-prime spine, 7 κ-bands, and 6 fold operations as native tools and resources in any MCP client.
    MIT
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    Enables end-to-end research paper workflows from ideation to delivery, including paper reproduction, guided writing, export to LaTeX/PDF/DOCX, and scientific data queries across 41 public database connectors, all operable locally without API keys.
    MIT
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    Provides B2B positioning and messaging tools based on the IMPACT Framework, enabling analysis of champions, competitors, and value propositions to craft compelling messages and execute strategic audits.
    8
    52
    MIT
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    A comprehensive MCP server for querying historical maritime shipping records, vessel specifications, and shipwreck databases across multiple international archives from 1497 to 1874. It enables detailed research into voyages, crew muster rolls, cargo manifests, and historical sailing routes through specialized search and analytical tools.
    47
    5
    Apache 2.0
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    Provides 55 specialized tools for precise physics calculations and rigid-body simulations, covering mechanics, fluid dynamics, and rotational motion. It enables LLMs to perform realistic motion analysis and trajectory modeling with support for real-world factors like drag, wind, and altitude.
    62
    12
    Apache 2.0
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    Provides AI assistants with structured, authoritative knowledge of the HICAR atmospheric model, including namelist options, physics schemes, output variables, documentation, and source code.
    24
    GPL 3.0
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    Exposes the MITRE ATT\&CK framework to LLMs and AI assistants via the Model Context Protocol, enabling querying of techniques, tactics, groups, software, and mitigations.
    9
    13
    MIT