A
license-
qualityB
maintenanceEnables 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
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"Target" matching MCP servers:
- Alicense-qualityBmaintenanceEnables 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.37Apache 2.0
- AlicenseAqualityBmaintenanceAn 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.9Apache 2.0
- AlicenseAqualityAmaintenanceIntegrates 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.304Apache 2.0
- FlicenseAqualityBmaintenanceGenerates multi-day CKD meal plans for children based on PRNT targets (energy, protein, potassium, phosphorus, sodium), providing nutrient summaries and target achievement rates for dietitians.2
- Alicense-qualityBmaintenanceEnables 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.1MIT
- Alicense-qualityCmaintenanceEnables querying disease/target/drug knowledge graph from Open Targets, supporting searches, profiles, and associations via natural language through the Pipeworx gateway.18MIT
- Flicense-qualityBmaintenanceA 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.
- Flicense-qualityCmaintenanceEnables 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.
