agentfetch-mcp is an open-source MCP server designed for AI agents to fetch web URLs, estimate token usage, and route requests intelligently. It supports smart caching and is built for integration with agent frameworks and AI pipelines.
agentfetch-mcp is an Other AI project. It enables AI agents to efficiently fetch and process web content with token estimation and caching. agentfetch-mcp is an open-source project aimed at AI agent developers. The project is open source (MIT). It runs on the web, the command line, and API.
It is developed by bch1212, and it first shipped in 2026. The project is developed in the open on GitHub with 9 commits in the last 90 days. Among its 5 catalogued features are token estimation, smart caching, and intelligent routing. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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