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NPI Registry MCP Server

by eliotk
MIT License
1
  • Apple

NPI Registry MCP Server 🏥

A Model Context Protocol (MCP) server for searching the National Provider Identifier (NPI) registry. This server provides tools to search and retrieve information about healthcare providers and organizations in the United States.

Overview 📋

NPI is a unique identification number for covered health care providers in the United States. This MCP server allows Claude and other MCP-compatible clients to search the official NPI registry maintained by the Centers for Medicare & Medicaid Services (CMS), and integrates the results into an LLM context for enhanced analysis and insights.

Features ✨

  • Search by Provider Name: Find individual healthcare providers by first name, last name, or both
  • Search by Organization: Look up healthcare organizations by name
  • Search by NPI Number: Direct lookup using a specific 10-digit NPI
  • Location-based Search: Filter results by city, state, or postal code
  • Specialty Search: Find providers by their specialty or taxonomy description
  • Comprehensive Data: Returns detailed information including addresses, practice locations, specialties, and other identifiers

Use Cases 💡

  • Verify healthcare provider credentials
  • Find provider contact information and addresses
  • Look up organization details and authorized officials
  • Validate NPI numbers
  • Research provider specialties and taxonomies
  • Find providers in specific geographic areas

Installation 🚀

Prerequisites 📋

  • Python 3.10 or higher
  • uv package manager

Development Setup 🛠️

  1. Clone the repository:
    git clone https://github.com/eliotk/npi-registry-mcp-server.git cd npi-registry-mcp-server
  2. Install uv (if not already installed):
    curl -LsSf https://astral.sh/uv/install.sh | sh
  3. Create a virtual environment and install dependencies:
    uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv pip install -e ".[dev]"
  4. Run the server directly (for testing):
    uv run python -m npi_registry_mcp.server # or using the entry point: uv run npi-registry-mcp-server

Production Installation 🌟

Install from PyPI (once published):

uv pip install npi-registry-mcp-server

Or install from source:

uv pip install git+https://github.com/eliotk/npi-registry-mcp-server.git

Usage 📚

Available Tools 🛠️

search_npi_registry 🔎

Search the NPI registry with various criteria:

Parameters:

  • first_name (optional): Provider's first name
  • last_name (optional): Provider's last name
  • organization_name (optional): Organization name
  • npi (optional): Specific 10-digit NPI number
  • city (optional): City name
  • state (optional): State abbreviation (e.g., 'CA', 'NY')
  • postal_code (optional): ZIP/postal code (supports wildcards)
  • specialty (optional): Provider specialty or taxonomy
  • limit (optional): Maximum results to return (1-200, default: 10)

Examples:

# Search for a specific provider by name search_npi_registry(first_name="John", last_name="Smith", state="CA") # Look up a specific NPI search_npi_registry(npi="1234567890") # Find organizations in a city search_npi_registry(organization_name="Hospital", city="Los Angeles", state="CA") # Search by specialty search_npi_registry(specialty="cardiology", state="NY", limit=20) # Find providers in a specific ZIP code area search_npi_registry(postal_code="902*", state="CA")

Response Format 📄

The search returns a structured response with:

{ "success": true, "count": 5, "results": [ { "npi": "1234567890", "entity_type": "Individual", "is_organization": false, "status": "A", "enumeration_date": "2010-05-05", "last_updated": "2023-01-15", "name": { "first": "John", "last": "Smith", "credential": "MD" }, "addresses": [...], "practice_locations": [...], "taxonomies": [...], "identifiers": [...] } ] }

Claude Desktop Configuration 🖥️

To use this MCP server with Claude Desktop, add the following configuration to your Claude Desktop config file:

macOS 🍎

Location: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows 🪟

Location: %APPDATA%/Claude/claude_desktop_config.json

Configuration 📝

{ "mcpServers": { "npi-registry": { "command": "uv", # may need full path to executable "args": [ "--directory", "/path/to/npi-registry-mcp-server", "run", "npi-registry-mcp-server" ] } } }

Verification ✅

  1. Save the configuration file
  2. Restart Claude Desktop completely
  3. Look for the 🔧 icon in Claude Desktop to verify the server is connected
  4. Try asking Claude: "Search for doctors named Smith in California"

Development 👨‍💻

Project Structure 📁

npi-registry-mcp-server/ ├── src/ │ └── npi_registry_mcp/ │ ├── __init__.py │ └── server.py ├── tests/ ├── pyproject.toml ├── README.md └── .gitignore

Running Tests 🧪

uv run pytest

Code Formatting 🎨

# Format code uv run black src/ tests/ # Sort imports uv run isort src/ tests/ # Lint uv run ruff check src/ tests/ # Type checking uv run mypy src/

Building the Package 📦

uv build

API Reference 📖

This server uses the official NPI Registry API provided by CMS:

  • Base URL: https://npiregistry.cms.hhs.gov/api/
  • Documentation: https://npiregistry.cms.hhs.gov/registry/help-api
  • Rate Limits: The API has reasonable rate limits for normal usage

Data Sources 🗃️

All data comes directly from the official NPI Registry maintained by:

  • Centers for Medicare & Medicaid Services (CMS)
  • U.S. Department of Health and Human Services

Contributing 🤝

  1. Fork the repository
  2. Create a feature branch: git checkout -b feature-name
  3. Make your changes and add tests
  4. Run the test suite: uv run pytest
  5. Format your code: uv run black src/ tests/
  6. Submit a pull request

License 📄

MIT License - see LICENSE file for details.

Support 🆘

  • Issues: Report bugs and request features via GitHub Issues
  • Documentation: Additional documentation available in the /docs directory
  • API Questions: Refer to the official NPI Registry API documentation

Changelog 📝

v0.1.0 🎉

  • Initial release
  • Basic NPI registry search functionality
  • Support for individual and organization searches
  • Location and specialty filtering
  • Comprehensive provider data retrieval

For more information about the Model Context Protocol, visit: https://modelcontextprotocol.io/

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