nicobailon/pi-web-access

What it solves

Pi Web Access provides a comprehensive suite of tools for AI agents to interact with the live web. It solves the problem of fragmented search and data extraction by offering a unified interface that supports dozens of search providers, automated content scraping, and advanced video understanding, all while managing complex fallback logic to ensure reliable results.

How it works

It functions as an extension for Pi agents, providing two primary tools: web_search and fetch_content. The system uses an intelligent fallback chain; if your primary search provider fails or is unavailable, it automatically cycles through a pre-configured list of alternatives (such as Exa, Brave, SearXNG, or Tavily). It can also clone GitHub repositories directly for local analysis, extract frames from videos for visual understanding, and cache results to optimize performance.

Who it’s for

This project is designed for developers and power users building or using Pi agents who need robust, reliable web-browsing capabilities. It is particularly useful for those who want to switch between multiple search providers without rewriting their agent's logic or who need to perform complex tasks like analyzing YouTube video content or scraping structured data from websites.

Highlights

• Zero-Config Search: Works out of the box with Exa MCP, requiring no initial API key setup.
• Video Understanding: Analyzes YouTube videos or local screen recordings by extracting transcripts, visual descriptions, and specific frames.
• Smart Fallbacks: Automatically routes requests through a prioritized list of providers to ensure high availability.
• GitHub Integration: Clones repositories locally to provide the agent with direct file access rather than just rendered HTML.
• Extensible: Supports a vast array of search APIs and can function as an MCP (Model Context Protocol) server for other agents like Claude Code or Cursor.