"How to send an email through the end-user's Outlook" matching MCP servers:

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.

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

Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.

MyChart MCP Server

A Claude Code plugin and MCP server for end-to-end clinical trial design.

An MCP server that provides tools for searching and fetching protein data from the UniProt database using the unipressed library.

An MCP server for querying the KEGG bioinformatics database, providing tools, resource templates, and guided prompts for pathways, genes, compounds, and more.

A Model Context Protocol server for PyLabRobot that exposes liquid handler, plate reader, thermocycler, and heater-shaker as MCP tools. It ships in simulation mode by default, allowing end-to-end testing without hardware.

Allows to retrieve information about an AnnData object via MCP using the read_lazy function from anndata.

MCP server for retrieving clinical standard content from the CDISC Library, supporting controlled terminology, ADaM, SDTM, CDASH, SEND metadata, and search.

An MCP server that connects AI agents to the PEPTOMA open DeSci peptide research platform, enabling peptide sequence analysis, feed search, and peer-review annotations.

An MCP server for healthcare intake forms that lets AI agents import blank PDFs, create patient fill links, and retrieve completed PDFs while keeping PHI out of the model context.

Bridge any AI coding assistant directly to GenePattern — run bioinformatics modules, manage cloud jobs, and stream results, all through natural language.

Connects AI agents to the Elnora bioprotocol optimization platform, enabling generation, management, and optimization of wet-lab protocols through natural language.

Enables AI assistants to look up, search, validate, navigate hierarchies, and expand value sets for SNOMED CT clinical terminology through the Model Context Protocol.

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.

An MCP server that enables AI assistants to generate, score, and analyze DNA sequences using the evo2 genomic foundation model. It supports multiple execution modes including local GPU, SLURM clusters, and the Nvidia NIM cloud API for tasks like variant effect prediction and sequence embedding.

Enables AI agents to control RELION 5.x cryo-EM structure determination software through natural language, providing 23 tools for the complete single-particle analysis pipeline.

MCP-native scientific skills for reproducible computational biology and AI-driven drug-discovery workflows. It combines deterministic scientific tools with an MCP server to give AI agents real computational capabilities.

MCP server for querying the official ANVISA electronic drug bulletin from a trusted source. It provides a single read-only tool for consulting drug information through natural language in any MCP-compatible client.