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

Enables access to mock Epic patient data through 15 MCP tools with two-tier access (list summaries, then fetch details) and LLM-powered natural language search across allergies, medications, conditions, clinical notes, labs, vitals, and procedures.

Provides tools to retrieve information about current and upcoming free games on the Epic Games Store. It allows users to access game details including titles, descriptions, and claim URLs through Model Context Protocol clients.

Enables Claude to write in your personal style by learning from your local documents. It provides statistical style context for natural language rewriting, all without any data leaving your machine.

A TypeScript-based MCP server that connects to FHIR servers, allowing access to healthcare data via fhir:// URIs and providing search capabilities for FHIR resources.

A comprehensive Model Context Protocol server that provides universal access to multiple FHIR servers with AI-powered clinical analysis capabilities for healthcare data integration and patient care planning.

Provides seamless integration with FHIR APIs, enabling AI/LLM tools to search, retrieve, and analyze clinical healthcare data with support for SMART-on-FHIR authentication and multiple transport protocols.

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.

Enables seamless integration with FHIR APIs for healthcare applications, allowing users to search, retrieve, create, update, and analyze clinical information through natural language interactions. Supports SMART-on-FHIR authentication and works with various healthcare systems like EPIC and HAPI FHIR servers.

Enables AI applications to securely search and manage healthcare data from FHIR R4-compliant servers with built-in safety validation for AI-generated clinical observations, preventing recording of physiologically impossible values.

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.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for FHIR (beta): https://www.cdata.com/download/download.aspx?sku=KIZK-V&type=beta

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.

Enables access to Amazon product data through the Canopy API, providing tools for product info, variants, stock, sales, reviews, search, autocomplete, categories, sellers, authors, and deals.

Serves the Pancake API documentation to AI assistants, enabling them to search endpoints, retrieve full API contracts, webhook payloads, and guides without live API access.

An MCP server that translates natural-language queries into structured catalog searches using Amazon Bedrock, enabling MCP clients to query existing in-house APIs.

Enables nutrition tracking with Cronometer, including food logging, food search, diary management, and nutrition data retrieval via natural language.

MCP server for the Infobel GetData API, enabling AI agents to search businesses, retrieve records, and browse categories and locations.

MCP server that wraps Shopify, Amazon, and Google Maps intelligence tools. AI agents pay autonomously in USDC on Base via x402 — no API keys or accounts needed.

A read-only MCP server for Portal.io that enables browsing proposals, users, contacts, and catalog items through secure HMAC-signed API requests.

Fetch live Amazon product data using Amazon Scraper API MCP server