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Ferret Documentation

The universal API that connects AI agents to the web in real-time. 313 sources, 300 MCP tools, one API.

Quick Start →

Get started in 3 minutes. Build, query, deploy.

API Reference →

Search, Extract, Crawl, Map, Research endpoints.

MCP Server →

Cursor, Claude Desktop, Claude Code, OpenAI integration.

SDKs →

Python, JavaScript, LangChain integrations.

Key Features

  • ✓ 313 web sources — e-commerce, finance, news, SEO, social, and more
  • ✓ 300 MCP tools — native Model Context Protocol support
  • ✓ Rust architecture — cold start under 100ms, 46MB RAM
  • ✓ Self-hosted — MIT license, your infrastructure, your rules
  • ✓ Drop-in REST API — works with any HTTP client, zero configuration needed

Install & Run

git clone https://github.com/duan78/ferret.git
cd ferret
cargo build --release
./target/release/ferret serve    # REST API on :9093
./target/release/ferret mcp      # MCP server on :9094