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MCP server for Mindcase — 30+ data collection agents accessible from Claude

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Project description

Mindcase MCP Server

PyPI License: MIT

MCP server for Mindcase — access 30+ data collection agents from Claude. Scrape LinkedIn, Instagram, Google Maps, Amazon, YouTube, and more with natural language.

Features

  • 30+ data agents across LinkedIn, Instagram, Amazon, Google Maps, YouTube, and more
  • Natural language — just ask Claude, no code or parameters to learn
  • Works everywhere — Claude Code, Claude Desktop, Cursor, Windsurf
  • Auto-discovery — agents register automatically on startup
  • Structured results — get tables, not raw text
  • Credit tracking — check your balance anytime

Quick Start

1. Get an API key

Sign up at app.mindcase.co and create an API key in the API Console.

2. Add to Claude

Claude Code (CLI):

claude mcp add mindcase -- uvx mindcase-mcp

Then set your API key:

export MINDCASE_API_KEY=mk_live_your_api_key_here

Claude Desktop:

Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on Mac, %APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "mindcase": {
      "command": "uvx",
      "args": ["mindcase-mcp"],
      "env": {
        "MINDCASE_API_KEY": "mk_live_your_api_key_here"
      }
    }
  }
}

3. Use it

Ask Claude things like:

  • "Find coffee shops in Manhattan with ratings above 4.5"
  • "Search LinkedIn for AI startups in San Francisco"
  • "Get Instagram profiles for Nike, Adidas, and Puma"
  • "Scrape Amazon reviews for this product"
  • "Find Python developer jobs on Indeed in New York"

Available Tools

Utility Tools

Tool Description
list_agents Browse all 30+ available data agents
check_credits Check your remaining credit balance
get_agent_details View parameters and pricing for a specific agent

Data Collection Tools

All agents from the Mindcase API are registered as individual tools:

Platform Tools
LinkedIn Profiles, Companies, Employees, Jobs, Posts, People Search, Company Search, Domain Lookup
Instagram Profiles, Posts, Comments
YouTube Videos, Channels, Comments, Shorts
Amazon Products, Reviews, Bestsellers, India Products
Google Maps Businesses, Reviews, Reverse Geocoding
Twitter / X Posts
TikTok Profiles
Reddit Posts
Shopify Products
Indeed Jobs
App Store Reviews
Flipkart Products
Myntra Products

Each tool accepts the agent's specific parameters and returns structured data in a table format.

How It Works

  1. On startup, the server fetches all available agents from the Mindcase API
  2. Each agent is registered as an MCP tool with its parameter schema
  3. When Claude calls a tool, the server runs the agent via the API
  4. The server polls for results and returns structured data to Claude

Configuration

Environment Variable Description Required
MINDCASE_API_KEY Your Mindcase API key (mk_live_...) Yes

Documentation

Also Available

  • Python SDKpip install mindcase for programmatic access
  • Node.js SDKnpm install mindcase for JavaScript/TypeScript

Privacy

See privacy-policy.md for details on data handling.

License

MIT

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