"Exploring OpenAPI/Swagger Specifications" matching MCP servers:

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.

Exposes NCBI PubMed as MCP tools for searching literature, fetching abstracts, exploring citation graphs, and finding author publications without requiring an API key.

PubCrawl provides LLMs with access to PubMed, FDA/UK drug labeling, and ClinicalTrials.gov. It enables searching literature, retrieving abstracts and full texts, comparing US and UK drug labels, and exploring clinical trials.

A production-ready Model Context Protocol (MCP) server that provides comprehensive access to the BioOntology API for searching, annotating, and exploring over 1,200 biological ontologies.

Enables searching and exploring 340 million academic papers from 15+ databases with semantic search, citation graphs, and knowledge graph connections for biomedical entities.

Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.

Enables querying and exploring PhysioNet biomedical datasets via BigQuery, with tools to list accessible datasets, view schemas, inspect tables, and run SQL queries.

Enables AI assistants to access up-to-date gematik TI specifications, requirements, and certification scopes, including version comparisons and diffs.

Validates CDISC SDTM datasets against SDTMIG 3.4 specifications, offering tools for required variables, controlled terminology, and full dataset validation with bundled sample datasets.

A multi-purpose MCP server for AI-powered healthcare assistance that processes clinical data through configurable LLM providers. Maintains webhook endpoints for patient data processing with PostgreSQL logging and OpenAPI documentation.

Provides seamless access to over 35 million PubMed scientific articles through natural language queries for research discovery and analysis. It enables tools for advanced searches, retrieving article details, and exploring related research within the life sciences and biomedical fields.

Enables exploring a synthetic electronic health record via natural language, including patient demographics, encounters, notes, and medications, with optional write support for adding synthetic progress notes.

Enables AI agents to search and analyze clinical trial data from ClinicalTrials.gov using both structured SQL queries for filtering trials by status, phase, and conditions, and semantic vector search for exploring detailed protocol information like exclusion criteria.