Biology, medicine, scientific data and health tools.
Autonomous data infrastructure that turns strategic objectives into verified datasets and live intelligence streams.
Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integrating QGIS and EPA SWMM through the aiswmm runtime, reusable Skills, and MCP.
MCP server for querying Apple Health data with natural language using DuckDB under the hood.
Local MCP server for reading arXiv papers section by section, exporting BibTeX citations and monitoring research topics.
AI voice agent platform for healthcare that handles the patient journey from referrals and scheduling to intake and follow-up.
General-purpose biomedical AI agent that autonomously executes research tasks across biomedical subfields using LLM reasoning and code execution.
MCP (Model Context Protocol) server for biothings.
MCP server for spatial transcriptomics analysis through natural language interfaces.
MCP server over ChEMBL to link compounds to protein targets, rank bioactivity (IC50/Ki/EC50) and look up drug mechanisms and indications.
MCP server and Claude Plugin for a full ENCODE Project genomic data and analysis toolkit — search, download, track, and analyze functional genomics experiments.
FHIR MCP Server – helping you expose any FHIR Server or API as a MCP Server.
Flexpa MCP server that lets assistants search and validate health-insurance and healthcare-provider FHIR endpoints programmatically, without authentication.
Bioinformatic MCP server that wraps the most useful functions of the gget library.
Local-first MCP server for Google Health API v4 (Fitbit + Pixel Watch) — Claude/Cursor/Hermes.
Python SDK for healthcare AI — typed, validated FHIR tools for agents, real-time EHR connectivity, production deployment .
Generative AI healthcare agents delivering clinical voice AI for tasks such as patient intake, appointment scheduling and care management.
Agentic platform that automates healthcare communication and coordination between patients and the care they need across channels.
Edison Scientific's AI Scientist for R&D teams that reads literature, analyzes data, generates hypotheses and runs workflows, collaborating via Slack, Teams and email.
MCP server for the Live Tennis API — give Claude, Cursor and other LLM agents real-time tennis scores, odds and model win-probability.
MCP server connecting chat clients to the Wolfram Alpha computational intelligence API.
An MCP server that provides comprehensive medical information by querying multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm.
Lets AI models securely access, analyze and interact with FHIR healthcare data on a Medplum server through a fhir-request tool; available locally and hosted.
A Model Context Protocol (MCP) server that provides comprehensive access to MLB statistics and baseball data through a FastMCP-based interface.
MCP server for NASA APIs giving AI models a standard interface to NASA data sources such as APOD, Mars rover imagery and near-Earth objects.
Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models.
MCP server for OpenAlex's catalog of 270M+ scholarly works, served over stdio and streamable HTTP.
MCP server for a queryable database for aging and longevity research from the OpenGenes project.
Retrieval-augmented agent for scientific documents that returns grounded, cited answers to research questions.
AI-native workspace for scientists to research methods, build protocols, design experiments and improve plate-based assays.
MCP server that lets AI assistants search and analyze biomedical literature in PubMed.
MCP server for the Semantic Scholar API: search papers, retrieve paper and author details, and fetch citations and references.
A Model Context Protocol (MCP) server that connects to Strava API, providing tools to access Strava data through LLMs.
Autonomous research system that generates hypotheses, runs experiments and writes papers using agentic tree search.
Ecosystem for building AI scientist systems that standardizes how LLMs find and call 1000+ scientific tools, models and datasets; ships a native MCP server.
TrainingPeaks MCP server for Claude Desktop, Code and Cowork. No API approval needed - works with any account. Query workouts, CTL/ATL/TSB fitness data, power PRs via natural language.
AI co-researcher for scientific literature that searches, evaluates papers and provides ongoing updates on developments in a field.