SteadyFetch is a Model Context Protocol (MCP) server: Reliable web fetching for AI agents with retry, circuit breaker, caching, and anti-bot bypass. In practice that means any MCP-compatible AI assistant can call SteadyFetch's tools directly — the model decides when to use them in a conversation or agent run.
You can run SteadyFetch two ways: connect to the hosted endpoint at https://steadyfetch-production.up.railway.app/mcp with no local install, or run it on your own machine via the Python package steadyfetch (via uvx). The current release is v0.1.1.
SteadyFetch is listed under AI & Agents on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain SteadyFetch for carsonroell-debug, claim this listing to verify ownership, earn the Verified badge, and keep the details current.