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    Connects Claude to the U.S. National Library of Medicine MeSH APIs to search and retrieve medical authority data, descriptors, and qualifiers. It enables library and metadata staff to perform subject analysis and confirm terminology within an AI-assisted cataloging workflow.
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    GPL 3.0
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    Enables AI clients to analyze any company domain and determine its AI maturity tier (commercialized, deployed, declared, or none) with supporting evidence, via a single tool backed by an Apify actor.
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    MIT
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    Connects Zotero and Obsidian for an AI-assisted academic reading workflow, enabling paper fetching, structured note creation, highlight syncing, and review management.
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    Enables searching live job postings, aggregating labour-market slices, and reporting how long listings have been open, with filters for titles, location, salary, and more.
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    MIT
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    An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.
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    Provides comprehensive Chinese food nutrition data with tools to search, compare, and filter foods by nutrient values.
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    MIT
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    Provides AI agents with access to Hacker News data including top stories, story details, comment threads, and full-text search for content research and trend monitoring.
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    MIT
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    Enables LLM clients to retrieve official Turkish central-bank exchange rates, MPC (PPK) decisions, Inflation Reports, Financial Stability Reports, and market-participant surveys, with page- or bulletin-level citations and sentence-level comparisons of policy statements. It works without any API key for FX data and documents, while an optional free EVDS key unlocks the full statistical catalogue for policy rates, inflation, and reserves.
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    Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.
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    A headless, natural-language-driven automated modelling workflow for MIKE+, enabling users to inspect models, change parameters, run simulations, and analyze results without the MIKE+ GUI.
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    Provides read-only access to pre-kick-off football match outcome probabilities and the open record of how those predictions turned out, including match listings, per-match analysis, and aggregate hit rates with baselines. It requires no account or API key and lets users query results by date, week, language, and time zone.
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    MIT