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"Understanding Code Relationships and Dependencies" matching MCP servers:

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    Provides tools to search and execute Code Ocean capsules and pipelines while managing platform data assets. It enables users to interact with Code Ocean's computational resources and scientific workflows directly through natural language interfaces.
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    5
    MIT
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    CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.
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    MIT
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    MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
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    AGPL 3.0
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    A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%
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    AGPL 3.0
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    Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.
    MIT
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    An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.
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    Enables searching and discovering machine learning papers, state-of-the-art benchmarks, tasks, datasets, methods, and leaderboards from Papers with Code. Supports mapping papers to their benchmark results and browsing evaluation tables.
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    Enables AI assistants to explore the OpenAIRE Research Graph and ScholExplorer citation index, discovering citation relationships and retrieving metadata for publications, datasets, and software.
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    Apache 2.0
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    Enables first-order logic reasoning including theorem proving, model finding, counterexample detection, and category theory diagram verification using pure TypeScript with no external dependencies.
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    A Bloomberg Terminal you can talk to. Query company relationships — suppliers, customers, competitors, supply chain paths — directly from Claude, Cursor, or any MCP-compatible AI assistant.
    7
    MIT
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    A model context protocol server designed for AI development and QA, providing AntV document context and code examples.
    2
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    Apache 2.0
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    Expert-curated knowledge graphs for AI agents covering retail, beauty, sports, and other industries. Query structured insights, explore relationships, retrieve evidence, and generate macro overviews powered by PSFK's proprietary research.
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    Inno Setup
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    A pure-TypeScript MCP server for Google NotebookLM using the batchexecute RPC protocol. Enables management of notebooks, sources, chat, and artifact generation with no Python dependencies.
    52
    MIT