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    Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.
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    Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.
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    102
    MIT
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    Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.
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    MIT
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    Enables searching and reading of AI/ML papers from conference proceedings and arxiv, with tools for full-text search, table of contents, and content grep.
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    MCP server for querying the Japanese KAKEN database of scientific research grants, enabling search of projects and researchers via Claude.
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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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    MIT
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    Provides an MCP server for querying a dataset of 350 Indian startups' marketing channels by stage, sector, and budget, enabling evidence-based channel selection through natural language.
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    CC BY-4.0
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    An MCP server that lets AI clients search and retrieve Doctor of Credit articles, categories, and deals via flexible tools, interpreting article content at request time.
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    Feynman's twelve-problems method as an MCP server — a persistent set of long-running problems plus an evoke loop that tests each new trick against all of them. Local, TypeScript, no LLM inside, no API key.
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    234
    Apache 2.0
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    Provides 17 research tools for comprehensive company intelligence, covering aspects like overview, products, financials, and competitors. Supports both natural language answers and structured JSON output for automation.
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    MIT
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    Enables AI assistants to interact with Databar.ai's data enrichment API, allowing discovery, configuration, and execution of data enrichments across hundreds of providers using natural language.
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    MIT
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    An MCP server for the Hugging Face Dataset Viewer API that enables searching, fetching, and filtering datasets on the Hugging Face Hub. It allows users to explore schemas, perform full-text searches, and analyze dataset statistics through natural language.
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    MCP server for querying TÜBİTAK TR Dizin academic database, enabling search of publications, journals, authors, and institutions without an API key.
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    An AI Concierge replaces static forms with adaptive AI conversations that understand real situations, structure key information automatically, and trigger the right next step. Rigid forms cause drop-off, weaken qualification, and strip away context. Perspective uses adaptive AI to capture structured data and trigger automation, so you understand what truly matters to your customers and can make d
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    MIT