Web Cat API

What is Web Cat API?

Web Cat API is a collection of Python-based APIs that includes a Model Context Protocol (MCP) server for web search and content extraction. It integrates with Serper.dev for search capabilities and uses the readability library to extract clean text from web pages, making it easy to feed web content into AI models.

How to use Web Cat API?

Run the MCP server via Docker with docker run -p 8000:8000 -e SERPER_API_KEY=your_key tmfrisinger/webcat:latest. You can also set a custom port or configure rate limiting via environment variables.

Key features of Web Cat API

• Content extraction using the readability library
• Web search integrated with Serper.dev
• MCP-compliant with both SSE streaming and REST endpoints
• Configurable rate limiting and API versioning
• Docker support for simple deployment

Use cases of Web Cat API

• Enable AI models to search the web and extract clean text content
• Integrate real‑time web data into Custom GPTs and other AI applications
• Process web pages for text and image content extraction

FAQ from Web Cat API

What is required to use the Web Cat API MCP server?

A Serper API key is required for search functionality. The server can be run via Docker using the provided image (tmfrisinger/webcat:latest).

What transport methods does the server support?

It supports both Server-Sent Events (SSE) streaming and RESTful endpoints.

What are the limitations of the Web Cat API?

The APIs are optimized for text and image content and may not accurately represent other multimedia or dynamic web content.

How can I configure rate limiting?

Set the environment variables RATE_LIMIT_WINDOW (default 60 seconds) and RATE_LIMIT_MAX_REQUESTS (default 10) when running the Docker container.

Where can I find the latest Docker image?

The latest Docker image is available as tmfrisinger/webcat:latest or versioned as tmfrisinger/webcat:1.1.0.