Medikode Medical Coding MCP Server
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Medikode MCP Server
Bring AI-powered medical coding into Claude, Cursor, and ChatGPT.
The Medikode MCP Server exposes Medikode.ai's medical coding platform through the Model Context Protocol. Coders, auditors, and revenue cycle teams can validate codes, QA charts, parse EOBs, and score risk adjustment directly from the AI assistant they already use — with every call authenticated, tracked, and billed through their Medikode account.

Why this exists
Revenue cycle teams spend hours moving between EHRs, coding tools, and payer portals. LLM assistants are good at reading clinical notes but have no reliable source of truth for code validity, NCCI edits, or RAF weights. This server closes that gap: the assistant does the reasoning, and Medikode's platform supplies the validated, auditable answer.
Related MCP server: OMOPHub MCP Server
Tools
Tool | What it does | Typical use |
| Checks CPT / ICD-10 codes against the clinical documentation | Pre-bill validation |
| Runs a coding quality-assurance review on a chart | Audit and coder feedback |
| Extracts structured data from insurance EOBs / remittances | Payment posting, denial analysis |
| Calculates Risk Adjustment Factor (RAF) scores | Risk adjustment / HCC workflows |
| Combines code validation and RAF scoring in one call | End-to-end chart review |
Quick start
Requirements: Node.js 24.7+ and a Medikode API key (get one at medikode.ai).
npm install -g @medikode/mcp-serverClaude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"medikode": {
"command": "npx",
"args": ["-y", "@medikode/mcp-server"],
"env": {
"MEDIKODE_API_KEY": "your-api-key"
}
}
}
}Cursor
Add the same block to Cursor's MCP settings (~/.cursor/mcp.json).
Restart the client, then ask something like:
"Validate CPT 99214 with ICD-10 E11.9 against this note…"
Architecture
AI assistant (Claude / Cursor / ChatGPT)
│ MCP (stdio or WebSocket)
▼
Medikode MCP Server ── API key auth · caching · request validation (Joi)
│ HTTPS
▼
Medikode API ── prod / sandbox routing
│
▼
Coding engine · NCCI edits · RAF models · usage dashboardTransports: stdio for desktop clients; WebSocket for hosted and ChatGPT integrations
Environment routing: separate production and sandbox API endpoints
Security: API-key authentication, Helmet, configurable CORS, no PHI stored by the server
Observability: health checks, structured logging, and per-call usage in the Medikode dashboard
Configuration (self-hosted)
Copy env.example to .env:
Variable | Purpose |
| Server port (default |
|
|
| Production Medikode API |
| Sandbox Medikode API |
| Backend service URL |
| CORS allow-list |
| Logging verbosity |
| Health-check timeout (ms) |
Docker:
docker compose up -dDevelopment
git clone https://github.com/raelango/medikode-mcp-server.git
cd medikode-mcp-server
npm install
npm run devTests cover unit behaviour, environment routing, WebSocket transport, MCP Inspector compatibility, and ChatGPT integration (test-*.js, test-chatgpt-integration.py).
See CONTRIBUTING.md and CHANGELOG.md.
Related
medikode-agents — pipeline stage definitions and Claude Code skills for Medikode's coding, audit, ERA, RAF, and validation agents
License
ISC © Medikode.ai
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Maintenance
Related MCP Connectors
Your MedNode health vault in your AI assistant — records, summaries, labs, appointments.
Telehealth support for Claude, Codex and Cursor: investigate cases and connect your tools.
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Governed app access for AI agents: 1,000+ apps & 12,000+ tools via Code Mode MCP.
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