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by blazickjp • Analytics & Monitoring
Provides AI assistants with the ability to fetch web pages and extract structured content via MCP for use in agent workflows.
Scrape and extract specific page elements (headlines, article bodies, navigation links) using CSS selectors.
Collect page metadata and outbound links for summarization, citation, or link-analysis workflows.
Reliable, timeout-aware webpage fetching and error-handling integrated into an MCP-based toolchain.
The Web Browser MCP Server exposes a browse_webpage tool over the Message Control Protocol (MCP) to let models fetch pages, extract content using CSS selectors, and return rich metadata (titles, links, structured content). It is asynchronous, supports configurable timeouts, and includes robust error handling for reliable operation. Easy MCP integration and simple installation (via Smithery or uv) make it convenient for adding web-browsing capability to agents. The project is open-source (MIT) and intended to be cross-platform.
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