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"Understanding Code Relationships or 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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    MIT
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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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    Generates family pedigree tree diagrams as PNG or SVG images using standard genetic notation compliant with Bennett 2008/2022 NSGC guidelines. Supports comprehensive genealogical features including conditions, genetic testing results, twin relationships, carrier status, and adoption indicators.
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    MIT
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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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    Checks whether a number is real or just noise: peek-safe A/B tests you can look at as often as you like without inflating false positives, two-sided change detection, and a guard for when a metric moved only because its sample size did. Zero dependencies, standard library only.
    6
    MIT
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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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    Provides deterministic, plain-English narratives explaining machine learning model predictions via the Model Context Protocol. It enables users to query classification factors directly through natural language, bypassing the need for complex plots or manual code execution.
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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
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    A Python MCP server for hypothesis-driven data analysis, managing analysis designs, data catalogs, and review workflows through Claude Code or any MCP-compatible client.
    18
    MIT
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    Provides traditional Chinese metaphysics analysis capabilities including I Ching divination (hexagram generation and interpretation) and Bazi (Four Pillars) fortune-telling with comprehensive life analysis covering career, wealth, relationships, and health predictions.
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    MIT
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    Enables querying the LitCoin knowledge graph for nodes, edges, and relationships, with support for semantic similarity search over nodes and edges via MCP.
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    Enables natural language access to Japanese patent information through the JPO API, allowing users to query patent data directly from Claude Desktop or Claude Code.
    MIT
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    Enables AI assistants to interact with Gramps genealogy databases for intelligent family tree research and management. Provides comprehensive tools for searching family data, creating records, analyzing relationships, and tracking genealogy research through natural language.
    40
    AGPL 3.0