"Communicating with EHR systems like Epic using FHIR API" matching MCP servers:

Exposes a FHIR endpoint as deterministic read-only tools, providing a context layer for retrieving clinical data from FHIR servers.

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.

MCP server for FHIR interoperability, enabling natural language querying and manipulation of clinical data with full CRUD operations, semantic search, and RAG capabilities.

Enables AI-powered access to authoritative design systems knowledge, including W3C standards, WCAG guidelines, and best practices from 188+ curated entries via semantic vector search.

Provides FHIR Implementation Guide facts via MCP tools, enabling querying of must-support, bindings, constraints, and value-set usage from StructureDefinition artifacts for conformance and testing support.

Enables document Q&A with grounded citations using the official Gemini File Search API. Upload documents, create stores, and ask questions that return exact passage citations.

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.

Monitor and manage Apache Airflow clusters through natural language queries via MCP tools: DAG inspection, task monitoring, health checks, and cluster analytics without API complexity. * Guide: https://call518.medium.com/mcp-airflow-api-a-model-context-protocol-mcp-server-for-apache-airflow-5dfdfb2

An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.

A Model Context Protocol server that exposes multiple AI tools over SSE transport with JWT-based secure authentication, allowing for dynamic tool registration and session management.

Enables interaction with the Sond Core API through the Model Context Protocol. Auto-generated from the OpenAPI specification at https://core-api-lb.sond.com/api-json to provide programmatic access to Sond's services.

An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with eBay's Sell Marketing API through natural language, auto-generated using AG2's MCP builder.

Enables interaction with Spinitron's radio playlist management and broadcasting data through a Multi-Agent Conversation Protocol interface, allowing users to query and manage radio station playlists, spins, and other broadcasting data via natural language.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

The MCP server provides tools for entity extraction, query refinement, and relevance checking to enhance RAG applications by integrating with OpenAI and Gemini.

An MCP server that enables interaction with the OpenFIGI API, allowing users to map securities to financial instrument identifiers through natural language.

An MCP server that enables interaction with OnSched's consumer-facing appointment scheduling API through natural language, allowing users to manage bookings, appointments, and scheduling operations.

This MCP server provides access to the KumpeApps API, enabling users to interact with KumpeApps services through natural language via the Multi-Agent Conversation Protocol.

An MCP server that provides natural language interaction with Google's Policy Troubleshooter API, allowing users to troubleshoot access denied errors and analyze IAM policies.

A Multi-Agent Conversation Protocol server that enables users to interact with the Redeal.io analytics API through natural language, automatically generated using AG2's MCP builder.