"A server for finding information about FHIR (Fast Healthcare Interoperability Resources)" matching MCP servers:

Enables read-only SMART on FHIR R4 discovery, search, and read operations against public synthetic sandboxes, returning actual empty results and 404s rather than inventing patient data.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Enables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).

fast-pyairbyte lets you create a data pipeline in code ,from any Airbyte connector, with a single prompt.

Enables an AI agent to query a patient-records SQLite database with tools for schema inspection, safe SQL queries, patient risk assessment, and readmission risk analysis.

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

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables low-latency, structured browser automation through a local MCP server, supporting safe navigation, observation, table extraction, and verified clicks on Windows with a dedicated Edge profile.

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

Fast Browser is an MCP server that lets Claude Code and Codex drive an existing Chrome browser with your real profile, logins, and tabs, using a macro library for multi-step flows in single tool calls and supporting concurrent agents with isolated tab groups.

A local-first MCP server and toolkit for Japanese healthcare reference data, enabling lookup and search without bundling official datasets.

Exposes appointment scheduling and insurance claims data as MCP tools, allowing AI clients to query and update clinic records via a standard protocol.

Provides FHIR resource validation, synthetic test fixture generation, and HIPAA-safe logging review as MCP tools for AI agents.

Enables searching a synthetic healthcare document repository and saving validated document metadata through MCP tools.

Enables AI-driven semantic code search using Windsurf's reverse-engineered SWE-grep protocol to query local codebases with natural language. It executes local search tools like ripgrep and tree-node-cli to return relevant file paths and line ranges to MCP-compatible clients.

Enables AI-driven semantic code search by leveraging Windsurf's reverse-engineered protocol to perform multi-round local searches using natural language. It automatically executes bundled ripgrep and file operations to return relevant code snippets and file paths to MCP-compatible clients.

Provides fast static embedding, similarity, and search capabilities via MCP tools and an OpenAI-compatible HTTP API using a tiny 16M-parameter English embedding model.

Adds persistent QA state to browser automation, enabling AI agents to maintain session-scoped artifacts and generate reports across multiple steps.

Enables AI agents and developers to automate real Chrome/Chromium browsers through the Chrome DevTools Protocol, with token-efficient snapshots, multi-action batching, shadow DOM traversal, system-page control, extension management, and network/WebSocket inspection.