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

Live Data Analysis: This tool executes real SQL queries against healthcare datasets and provides actual results from government health data.

What You Get

The mimibot MCP endpoint provides:

  • Live Data Analysis - Execute real SQL queries against healthcare datasets
  • Dataset Discovery & Schema Exploration - Find relevant datasets for your research needs
  • Data Source Recommendations - Get expert guidance on which datasets to use
  • Real Query Results - Get actual results from government health data (limited to 30 rows)
  • 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

Important Limitations & Considerations

Result Limits: Query results are automatically limited to 30 rows for security and performance. For larger datasets or more comprehensive analysis, please use the mimilabs Databricks workspace.

Data Complexity: Healthcare datasets often require complex joins and relationships between multiple tables. The AI provides quick lookups and initial insights to help you get started, but in-depth investigation is required for drawing meaningful conclusions from the data.

Starting Point Only: Think of MCP queries as exploratory tools that help you understand data structure and identify relevant datasets, rather than comprehensive analysis solutions.

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 provides comprehensive healthcare data analysis:

1. Dataset Discovery

  • Purpose: Find relevant datasets for your research needs
  • What it does: Explores available schemas and tables
  • Output: Information about data sources and their structure

2. Schema Exploration

  • Purpose: Understand table structure and available columns
  • What it does: Examines table schemas and provides sample data
  • Output: Detailed column information and data examples

3. Live Query Execution

  • Purpose: Execute real SQL queries against healthcare datasets
  • What it does: Runs validated SELECT queries and returns actual results
  • Output: Real data from government health datasets (limited to 30 rows for security)

4. News & Context

  • Purpose: Get current healthcare news and context
  • What it does: Fetches latest healthcare news for additional insights
  • Output: Recent healthcare news articles and trends

Input Format

The MCP tool expects a single parameter:

  • question (required): Your healthcare data question or research need as a string

Example input:

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

The AI will automatically:

  1. Discover relevant datasets
  2. Explore table schemas
  3. Execute queries to get real results (up to 30 rows)
  4. Provide insights and analysis as a starting point

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 AI → MCP 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 the latest Medicare claims data for California"
  • "Analyze drug prescribing patterns in the last year"
  • "Get hospital quality metrics for top-performing facilities"

The AI will automatically query the MCP endpoint and provide real data results, schema information, and insights from government health datasets.

Next Steps for Deeper Analysis

While MCP provides an excellent starting point for healthcare data exploration, remember that:

  • Complex Analysis: Healthcare datasets often require sophisticated joins and relationships that need careful investigation
  • Larger Datasets: For comprehensive analysis beyond 30-row samples, use the mimilabs Databricks workspace
  • Research Rigor: Any conclusions drawn from healthcare data should be based on thorough analysis rather than quick lookups

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 real results from government health datasets (up to 30 rows)
  4. Use insights as a starting point for deeper investigation
  5. Contact us at info@mimilabs.ai for access to the Databricks workspace for larger datasets or advanced analysis capabilities

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 real healthcare data today with mimilabs MCP!