wso2/fhir-mcp-server
The wso2/fhir-mcp-server is a Python-based Model Context Protocol (MCP) server that bridges AI assistants (such as Claude or other MCP-compatible clients) with FHIR (Fast Healthcare Interoperability Resources) APIs. It enables seamless, standardized access to FHIR servers, allowing AI models to perform healthcare data operations like searching, retrieving, and creating resources directly through the MCP interface. The server abstracts the complexity of FHIR endpoints by exposing a set of MCP tools that handle authentication, resource querying, and data manipulation. It supports common FHIR interactions such as searching for patients, observations, or conditions; reading specific resources; and creating new entries. Configuration is managed through environment variables, including FHIR server base URLs and authentication credentials, with support for OAuth2 and other security mechanisms. The server can be run locally via pip, as a Docker container, or deployed in cloud environments like Choreo. Built by WSO2, a leader in open-source integration software, the tool ensures compatibility with major FHIR servers (e.g., HAPI FHIR) and is designed to be extensible. Its modular codebase includes helpers for extracting bundle resources, filtering with FHIRPath, and handling pagination, making it robust for production use cases. The project includes comprehensive tests and documentation, along with demo recordings for popular FHIR backends. Overall, this MCP server empowers healthcare developers and data scientists to integrate AI-driven insights into clinical workflows without building custom API integrations, accelerating the development of AI-assisted healthcare applications.
- Category
- Developer Tools
- Pricing
- Open Source
Problem solved
Healthcare developers and data scientists often struggle to connect AI assistants with FHIR-compliant electronic health record systems due to the complexity of FHIR APIs and the lack of standardized AI integration layers. This tool solves that problem by providing a ready-to-use MCP server that exposes FHIR operations as simple, AI-friendly tools, eliminating the need for custom glue code and ensuring secure, interoperable access to healthcare data.
Use cases
- An AI assistant performing real-time patient data lookups during a clinical consultation by searching FHIR Patient and Observation resources.
- Generating automated clinical summaries from structured FHIR data (e.g., conditions, medications) for discharge notes.
- Creating new FHIR resources (like AllergyIntolerance) via an AI-powered data entry interface.
- Enabling secure, OAuth2-protected queries to a FHIR server for research analytics without manual token management.
- Integrating with Claude Desktop to allow clinicians to ask natural-language questions about lab results pulled from a FHIR repository.
- Building a healthcare chatbot that assists with appointment scheduling by interacting with FHIR-based scheduling resources.
Audience
- Developers
- Data Scientists
- Researchers
Pros
- Implements the standard MCP protocol for universal AI assistant compatibility.
- Provides pre-built tools for all core FHIR interactions (search, create, read).
- Easy configuration via environment variables and supports Docker for quick deployment.
- Open-source and developed by WSO2, ensuring ongoing maintenance and community support.
- Includes robust authentication support (OAuth2) for secure production use.
Cons
- Requires users to have a running FHIR server and knowledge of FHIR resource types.
- Limited to the FHIR standard; may need custom extensions for non-standard healthcare APIs.
- Relatively new project with a small community (as of mid-2026), so long-term ecosystem support is evolving.
Official website: https://github.com/wso2/fhir-mcp-server
Canonical LambdaBase page: https://www.lambdabase.com/tools/wso2-fhir-mcp-server