"Importing FastMCP from the mcp.server Python Module" matching MCP servers:

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

Enables AI agents to query and analyze FDA adverse events, drug labels, medical device clearances, and other public health datasets through natural language commands.

Enables medical image analysis, structured medical report generation, and medical Q\&A through the Lingshu medical AI model. Provides healthcare professionals and developers with AI-powered medical assistance capabilities via a FastMCP server interface.

Provides seamless access to UniProtKB protein data, enabling querying of protein entries, sequences, Gene Ontology annotations, and ID mappings through a typed, resilient interface.

Enables querying clinical trial data from the AACT database (ClinicalTrials.gov) using natural language through tools like list_tables, describe_table, and read_query.

A Model Context Protocol (MCP) server for searching the National Provider Identifier (NPI) registry. It provides tools to search and retrieve information about healthcare providers and organizations in the United States.

A unified MCP server for biomedical research that connects AI systems to resources like Ensembl, EuropePMC, STRING, and more, enabling retrieval of verified domain-specific information.

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.

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

Explains why two scientific papers disagree. A contradiction explorer for bench scientists that compares two studies' designs and grounds every claim in a verbatim quote from the source text.

An MCP server that grounds protein research in the UniProt SPARQL endpoint, providing tools for querying proteins, sequences, variants, diseases, and more via intent-named tools and raw SPARQL.

Enables querying Brazilian PCDT clinical protocols from Conitec and generating concise, context-specific treatment summaries using a local LLM, with verified literal citations and links to official PDFs.

Enables semantic retrieval and assembly of ICD-10-CM value sets from natural language descriptions for clinical cohort definitions.

Grounds gene-nomenclature work in the HUGO Gene Nomenclature Committee (HGNC) dataset, enabling resolution of gene symbols and IDs to canonical HGNC identifiers, plus cross-references and batch operations.

MCP server enabling AI agents to search and retrieve evidence reviews from evipedia.ai on health and longevity interventions, and to suggest new interventions for review.

MCP server that reads glucose data from a FreeStyle sensor via the LibreLinkUp API, providing current glucose and history with explicit coverage and gaps.

MCP server that provides tools to query harmonized gene-disease validity data from the Gene Curation Coalition, supporting consensus and conflict detection for gene-disease assertions.

Enables Claude Desktop to query and analyze diabetes data from Omnipod 5 and Glooko through natural language, providing clinical audit and triage insights such as time in range, trends, and bolus analysis.

Privacy layer for healthcare AI agents. Pseudonymises patient identifiers (NHS numbers, names, dates of birth, addresses; UK and US) into labelled tokens locally before text reaches an agent, then restores the originals afterwards, keeping the token map out of agent context.

MCP server for automated ICD-10 medical coding. Code clinical text to ICD-10-CM diagnoses, search 74,000+ codes, and de-identify PHI via the AutoICD API.