Healthcare software moves slowly for good reason. Between HIPAA compliance, HL7 FHIR data standards, and the complexity of EHR integrations, every feature takes longer than it should. Claude Code can help healthcare developers move faster without cutting corners on compliance.
The Challenge
Healthcare developers deal with a unique combination of constraints. Patient data must be handled according to strict regulatory requirements. FHIR resources have deeply nested structures that are easy to get wrong. Integration testing against live EHR systems is expensive and slow. And the stakes are high — bugs in clinical software can affect patient care.
Most development time isn't spent on novel logic. It's spent reading FHIR specs, writing boilerplate resource mappers, and ensuring every data access path is audit-logged.
FHIR API MCP: Your EHR Development Companion
The FHIR API MCP connects Claude Code directly to FHIR-compliant servers, giving you tools to query patient resources, validate payloads, and explore the FHIR specification without leaving your terminal.
{
"mcpServers": {
"fhir": {
"command": "npx",
"args": ["-y", "@anthropic-community/mcp-fhir"],
"env": {
"FHIR_BASE_URL": "https://your-fhir-server.example.com/fhir/R4",
"FHIR_AUTH_TOKEN": "<YOUR_BEARER_TOKEN>"
}
}
}
}Available Tools
- search_resources — query Patient, Observation, Condition, and other FHIR resources with full search parameter support
- read_resource — fetch a specific resource by type and ID
- validate_resource — validate a FHIR resource payload against the R4 specification before sending it to production
- get_capability_statement — inspect what a FHIR server supports (resource types, search parameters, operations)
- list_resource_types — browse all available FHIR resource definitions
Workflow: Building a Patient Summary Dashboard
Here's how you'd combine the FHIR API MCP with other tools from claudemcp.io to build a patient summary view:
1. FHIR API MCP — query the FHIR server for a patient's Conditions, Medications, and recent Observations. Claude reads the response structure and generates TypeScript interfaces that match your actual data.
2. PostgreSQL MCP — if you're caching FHIR data locally for performance, Claude can write the migration scripts and sync logic, ensuring PHI is stored with proper encryption-at-rest flags.
3. Sentry MCP — wire up error tracking with PHI-safe error messages. Claude knows not to log patient identifiers in error payloads when you tell it you're in a HIPAA context.
4. GitHub MCP — open a PR with the complete feature: FHIR resource types, database migration, API route, and React component. All from one Claude Code session.
The result: a feature that would normally take a week of spec-reading and boilerplate ships in a day.
Compliance Considerations
Claude Code doesn't store or transmit patient data. The FHIR API MCP connects to your FHIR server running in your infrastructure. All queries execute locally through the MCP protocol. But you should still:
- Run the MCP against a sandbox FHIR server (like HAPI FHIR's public sandbox) during development
- Never commit real patient data or tokens to version control
- Use the FHIR API MCP's
validate_resourcetool before writing to production
More Resources on claudemcp.io
- FHIR API MCP — query FHIR servers and validate clinical payloads
- GitHub MCP — manage repos, PRs, and issues from Claude Code
- PostgreSQL MCP — query and manage your database directly
- Sentry MCP — error tracking and monitoring integration
Get Started
Browse all healthcare-related resources at claudemcp.io/browse or read the setup guide to learn how MCP servers work with Claude Code.