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Medprice Ai MCP Server

Developer ToolsLow Risk9.8MCP RegistryRemote
Free

Server data from the Official MCP Registry

Hosted MCP server exposing US hospital procedure cost data to AI assistants

About

Hosted MCP server exposing US hospital procedure cost data to AI assistants

Remote endpoints: streamable-http: https://mcp.medprice.ai/mcp

Security Report

9.8
Low Risk9.8Low Risk

Valid MCP server (2 strong, 4 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

1 tool verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-medprice-ai-mcp-medprice-ai": {
      "url": "https://mcp.medprice.ai/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

mcp-medprice-ai

A hosted MCP server exposing US hospital chargemaster cost data to AI assistants.

  • MCP endpoint: https://mcp.medprice.ai/mcp
  • gRPC backend: api.medprice.ai:443

Install in Claude Code

claude mcp add --transport http mcp-medprice-ai https://mcp.medprice.ai/mcp

To share with everyone in a project, add --scope project (writes to .mcp.json). To make it available across all your projects, use --scope user.

Usage

The server exposes two tools:

  • list_hospitals — returns the supported hospitals with their hospital_id, EIN, name, structured_locations (addresses with geocoded coordinates where available), last_updated_on, and revision history (each revision's date and whether it has payer-specific rate data).
  • get_hospital_chargemaster_cost — looks up cost stats for a billing code at a single hospital.

The typical flow is to call list_hospitals first to discover available hospitals and their IDs, then call get_hospital_chargemaster_cost with the desired hospital_id. Once installed, you can just ask your assistant something like:

What's the fee schedule cost of MS-DRG 652 at Medical City Alliance?

The assistant will call list_hospitals to find the hospital's ID, then call get_hospital_chargemaster_cost with:

{
  "hospital_id": "1",
  "code_type": "MS-DRG",
  "code": "652",
  "methodology": "fee schedule"
}

and returns:

{
  "hospital": "MEDICAL CITY ALLIANCE",
  "found": true,
  "cost": {
    "code_type": "MS-DRG",
    "code": "652",
    "min": "26851.11",
    "max": "190885.00",
    "avg": "34387.70",
    "median": "28084.07",
    "std_dev": "13735.94"
  },
  "description": {
    "hospital_name": "MEDICAL CITY ALLIANCE",
    "location": "3101 N Tarrant Pkwy, Fort Worth, TX, 76177",
    "code_description": "KIDNEY TRANSPLANT",
    "methodology_note": "fee schedule"
  }
}

Tool reference

list_hospitals
  • page_size (optional) — maximum number of hospitals to return. Defaults to 20, capped at 100.
  • page_token (optional) — opaque token from a previous response for pagination.
get_hospital_chargemaster_cost
  • hospital_id (required) — opaque hospital identifier from list_hospitals.
  • code_type (required) — code system, e.g. APR-DRG, CDM, CPT, HCPCS, MS-DRG, RC. Hospitals may also support additional proprietary code types.
  • code (required) — the billing/chargemaster code.
  • methodology (optional) — one of case rate, fee schedule, other, percent of total billed charges, per diem. Omit to aggregate across all methodologies.

Development

Run locally against the production gRPC backend

GRPC_HOST=api.medprice.ai:443 npx tsx src/index.ts

Run locally against a custom gRPC backend

GRPC_HOST=<host:port> npx tsx src/index.ts

Run as HTTP server

TRANSPORT=http GRPC_HOST=api.medprice.ai:443 npx tsx src/index.ts

All MCP requests go to POST /mcp. PORT defaults to 3000.

Test gRPC connectivity

GRPC_HOST=api.medprice.ai:443 npx tsx src/test.ts

Docker

Build

docker build -t mcp-medprice-ai .

Run

docker run --rm -p 3000:3000 \
  -e GRPC_HOST=api.medprice.ai:443 \
  mcp-medprice-ai

TRANSPORT=http and PORT=3000 are set by default in the image. Override PORT if needed:

docker run --rm -p 8080:8080 \
  -e GRPC_HOST=api.medprice.ai:443 \
  -e PORT=8080 \
  mcp-medprice-ai

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