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  • A
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    Enables automated assessment of research manuscripts against the TARGET reporting guideline for target trial emulation, providing item-by-item scoring with evidence and provenance.
    Apache 2.0
  • A
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    quality
    B
    maintenance
    Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.
    37
    Apache 2.0
  • A
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    Answers "sales dropped since last week — where?" by comparing a target period against a weekday-adjusted baseline and localizing which attribute combinations (e.g. channel=web, or Tuesday nights) explain the shift. Runs fully offline on your own CSV — no API key, no ML training, read-only.
    2
    MIT
  • A
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    quality
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    MCP server for HumanPen that lets AI agents work on real documents (.docx, .pptx, .pdf) — humanizing content to lower AI-detection scores, converting citations, condensing, and translating while preserving formatting, tables, images, and citations.
    8
    208
    1
    Apache 2.0
  • A
    license
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    Integrates AlphaFold DB and eight other biomedical data sources into MCP tools for variant clinical reporting, disease-target analysis, structural intelligence, and drug repurposing, with results persisted to a local SQLite knowledge graph.
    30
    4
    Apache 2.0
  • A
    license
    B
    quality
    B
    maintenance
    Provides hackathon intelligence for builders by analyzing projects to rank best hackathons, target tracks, and differentiate using fit scoring and public gallery intel.
    28
    MIT
  • A
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    quality
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    Enables AI assistants to rapidly gather and synthesize structural, chemical, conservation, and literature data about protein binding pockets for drug-target triage. Useful as a reconnaissance step before computational binder design.
    1
    MIT
  • F
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    quality
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    A Model Context Protocol (MCP) server that exposes ChEMBL's public bioactivity database as tools for searching compounds, retrieving bioactivity data, target compounds, and ADMET properties, usable by Claude and ChatGPT.
  • F
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    quality
    C
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    Enables RNA structure analysis, sequence evaluation, and inverse design using geometric deep learning models. Supports both quick computational analysis and long-running batch processing for generating RNA sequences that fold into target structures.
  • A
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    quality
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    maintenance
    Superhuman data-driven science. Allows agents to upload any tabular dataset, specify a target column, and get validated predictive patterns (with p-values, effect sizes, and context from literature) that surface feature interactions and subgroup effects you'd otherwise miss. Many discoveries already made, free for open data!
    14
    7
    MIT
  • A
    license
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    quality
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    maintenance
    An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.
    9
    Apache 2.0