"Tor Project" matching MCP servers:

MyChart MCP Server

MCP server and Claude Plugin for a full ENCODE Project genomic data and analysis toolkit — search, download, track, and analyze functional genomics experiments

Read-only MCP server providing pediatric CKD patient master data with tools for patient profiles, diagnosis, nutrition ceilings, guardian verification, and patient lists, designed for the CKDNutri project.

Exposes four CMS public datasets as callable tools in Claude conversations, enabling natural-language real-world evidence analytics without SQL expertise.

Open-source guardrails between AI agents and FHIR clinical data — PHI redaction, immutable audit, step-up auth, tenant isolation. MCP server + OpenAI/Gemini adapters. A healthclaw.io project.

A Windows-based MCP server that exposes NIST's CONTAM simulation tools and ContamX bridge-mode controls to AI agents. It enables automated airflow and contaminant transport modeling, including project inspection, simulation execution, and real-time bridge session management.

Provides authenticated Streamable HTTP MCP access to a MedEval medical-device regulatory workspace, enabling project selection, evidence retrieval, section context, document revision management, and generation/evaluation task control.

Access to 1000 Genomes Project dataset, hosted online in Dnaerys variant store

Enables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).

Provides AI agents with access to PhaseFolio's biotech rNPV and probability-of-success engine for asset valuation, supporting public queries and authenticated project management.

A production-grade MCP server that enables AI assistants to securely manage healthcare data through clinical tools for patient vitals, lab results, and medication ordering. It prioritizes security and compliance with features like HIPAA-ready audit logging, PII redaction, and role-based access control.

Reproduces the in-silico toxicological profile of Heracleum sosnowskyi metabolites from Rassabina & Fedorov (2025) using open-source models for LD50 prediction, toxicity classification, chemical space clustering, and synthesis cost estimation.

An MCP server that reproduces the results of Nikitin et al., 'Towards Explainable Computational Toxicology: Linking Antitargets to Rodent Acute Toxicity' as callable tools, enabling users to compute toxicity predictions and mechanistic analyses deterministically from a bundled dataset.

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

This server enables interacting with the National Digital Health Mission's Health Information User (HIU) API, allowing agents to access and manage health information through the Multi-Agent Conversation Protocol.