"Generating Custom Messaging for Users" matching MCP servers:

Enables users to search and fetch PubMed biomedical literature articles through natural language queries in Microsoft 365 Copilot.

Enables scenario-based clinical communication practice through MCP tools for discovering scenarios, starting sessions, sending practitioner turns, and receiving evidence-linked evaluation feedback.

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

Enables Alexa+ users to coordinate household pet care by logging feeding, medication, activity, litter, and health observations for dogs and cats, with evidence-grounded triage, Q&A, and daily briefings backed by a verified veterinary library and citations.

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.

Enables conversational access to 400,000+ clinical trials on ClinicalTrials.gov, allowing users to search, compare, and retrieve trial details using plain English through MCP-compatible clients like Cursor and Claude Desktop.

An MCP server that interfaces with Gigwa for genotyping data import, analysis, and audit, enabling users to perform complex workflows through natural language commands.

An MCP server that connects AI assistants to OpenEMR instances to manage patient records, clinical trends, and medication safety. It provides 17 tools for tasks such as patient search, drug interaction checks, and generating comprehensive health trajectories and visit preparations.

An MCP server that provides access to PubMed and NCBI's biomedical literature database for searching articles, retrieving metadata, and tracking citations. It enables users to explore related research, browse MeSH vocabulary, and find free full-text links.

Connects to wetlab protocol resources such as protocols.io, enabling users to access and manage experimental protocols via natural language.

An MCP server that gives AI assistants conversational access to MNE-Python for analyzing neurophysiology data (EEG, MEG, sEEG, ECoG, fNIRS). Enables plain-language analysis pipelines, from loading recordings to generating figures and explanations.

Enables bioinformatics analysis through natural language conversations with Claude Desktop, automatically generating and executing Python scripts to produce HTML reports and visualizations.

An MCP server for NONMEM pharmacometric modeling that provides structured access to model parsing, execution, and results analysis. It enables users to perform diagnostics, manage PsN workflows, and translate models to mrgsolve for PK simulations through natural language.

Enables unified access to 110 life science APIs and databases, including genomics, proteomics, chemistry, literature, and clinical data. Users can query genes, proteins, compounds, pathways, and more through natural language.

Provides access to the STRING protein-protein interaction database for mapping identifiers, retrieving interaction networks, and performing functional enrichment analysis. It enables users to explore protein partners, pathways, and cross-species homology through natural language interactions.

Exposes the ProDoctor Cloud API as MCP tools for AI agents to manage appointments, patients, users, and procedures.

Provides programmatic access to AlphaFold protein structure predictions and UniProt data, enabling users to retrieve protein structures, summaries, and annotations through natural language.

An MCP server that interacts with the ClinicalTrials.gov API v2 to perform drug safety assessments and adverse event comparisons. It enables users to search for clinical trials, retrieve detailed study information, and analyze safety profiles across various medications and control groups.

Enables AI assistants to perform NCBI BLAST sequence similarity searches through natural language, supporting nucleotide and protein searches, custom database creation, and multiple output formats.

Agent-callable canine genomics API providing breed-stratified allele frequencies, pathogenicity predictions, and variant-gene-breed-disease knowledge graph for dog DNA.