Model Context Protocol (MCP) with mimilabs

Transform your healthcare data queries into instant insights with mimilabs MCP - a powerful endpoint that connects you to 50+ trusted US government healthcare datasets through natural language.

What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI assistants to access external data sources and tools. Our mimibot MCP endpoint provides seamless access to curated healthcare datasets, making it easier than ever to discover relevant data and generate insights.

Endpoint Information

MCP Endpoint: https://mimilabs.ai/api/mcp

Tool Name: mimilabs_guide

Access: Open to anyone - no authentication required

Important Note: This tool provides guidance and examples only - it does NOT execute actual queries. To run queries on real data, contact info@mimilabs.ai for Mimilabs account access.

What You Get

The mimibot MCP endpoint provides:

  • Dataset Discovery & Schema Exploration - Find relevant datasets for your research needs
  • Data Source Recommendations - Get expert guidance on which datasets to use
  • Example SQL Query Patterns - Learn how to structure queries with explanations
  • Healthcare Data Expertise - Access to 50+ trusted US government datasets including:
    • CMS Medicare claims data
    • CDC public health data
    • FDA drug information
    • NPPES provider directories
    • And many more

Common Use Cases

  • Healthcare Spending Analysis - Analyze cost trends and spending patterns
  • Provider Network Analysis - Look up provider directories and network information
  • Drug Pricing & Prescribing - Study drug pricing and prescribing patterns
  • Hospital Quality Metrics - Analyze patient outcomes and quality measures
  • Medicare/Medicaid Research - Analyze the impact of various policies

How It Works

The mimibot MCP endpoint operates in two modes:

1. Find Table Mode (Default)

  • Purpose: Dataset discovery and schema exploration
  • What it does: Helps you find relevant datasets and understand their structure
  • Output: Information about available data sources and their organization

2. Write SQL Mode

  • Purpose: Generate example SQL query patterns
  • What it does: Creates example Spark SQL queries with explanations
  • Output: Query patterns to guide your actual data analysis

Input Format

The MCP tool expects the following parameters:

  • mode (optional): Either 'find_table' (default) or 'write_sql'
  • question (required): Your healthcare data question or research need as a string

Example input:

{
  "mode": "find_table",
  "question": "Find datasets related to Medicare spending by state"
}

Using MCP in Claude Desktop and Cursor

Claude Desktop Setup

  1. Install Claude Desktop from claude.ai
  2. Add MCP Server in Settings
  3. Add: https://mimilabs.ai/api/mcp

Cursor Setup

  1. Open Cursor and go to Settings
  2. Navigate to AIMCP Servers
  3. Add mimibot MCP:
{
  "mimilabs": {
    "url": "https://mimilabs.ai/api/mcp"
  }
}

Example Queries

Once configured, you can ask Claude or Cursor (Cmd + L, chat mode) questions like:

  • "Find datasets related to Medicare spending by state"
  • "What datasets contain hospital quality metrics?"
  • "Show me example queries for analyzing drug prescribing patterns"
  • "Help me understand the structure of CMS claims data"

The AI will automatically query the MCP endpoint and provide relevant dataset recommendations, schema information, and example query patterns.

Getting Started

  1. Set up MCP in your preferred AI tool (Claude Desktop or Cursor)
  2. Ask healthcare data questions in natural language
  3. Get guidance on datasets, schemas, and query patterns
  4. Contact us at info@mimilabs.ai for full data access when ready to execute queries

Dataset Coverage

Our MCP endpoint provides access to 50+ trusted US government healthcare datasets in the mimi_ws_1 workspace, including comprehensive coverage of:

  • Medicare & Medicaid Data - Claims, spending, and program information
  • Public Health Data - CDC datasets for disease tracking and prevention
  • Drug Information - FDA drug databases and approval data
  • Provider Information - NPPES provider directories and credentials
  • Hospital Data - Quality metrics, outcomes, and facility information

Start exploring healthcare data today with mimilabs MCP!