
Refetch
Give your agent markdown page fetches, web and news search, and structured extraction via refetch.cloud without building scrapers yourself.
Overview
Refetch is an Idea-phase MCP server that lets agents fetch pages as markdown, search the web and news, and extract structured data via refetch.cloud.
What is this MCP server?
- Remote streamable-http MCP at https://refetch.cloud/mcp
- Fetch URLs as markdown for LLM-friendly consumption
- Web search and news search tools for agents
- Structured data extraction from pages
- Requires X-API-Key (ftch_ prefix); free key via refetch.cloud console
- Manifest version 1.0.0
- Remote endpoint https://refetch.cloud/mcp (streamable-http)
- Required header X-API-Key with ftch_ API keys from refetch.cloud console
What problem does it solve?
Agents hallucinate or stale-date facts when they cannot fetch live pages, search news, or extract structured fields from the open web.
Who is it for?
Solo builders doing competitor scans, doc lookups, and news-aware research inside Claude Code, Cursor, or Codex.
Skip if: Builders who need fully offline research, heavy authenticated portal scraping, or ship-phase load testing of their own sites.
What do I get? / Deliverables
After you add your ftch_ API key, your agent can ground research and validation tasks on current markdown pages and search results from Refetch.
- Markdown representations of fetched URLs for agent reasoning
- Web and news search result sets usable in agent prompts
- Structured extracts from target pages per Refetch tool responses
Recommended MCP Servers
Journey fit
Fetching and searching the live web is how solo builders research competitors, docs, and news before committing to a build—classic Idea-phase discovery. Research is the right shelf: the tools center on reading and querying external pages, not shipping production browser automation tests.
How it compares
Hosted web fetch and search MCP API, not a local browser-automation skill or self-hosted crawl framework.
Common Questions / FAQ
Who is io.github.lowenbjer/refetch for?
It is for AI agent users who need markdown page fetches, web and news search, and structured extraction without running their own scraper infrastructure.
When should I use io.github.lowenbjer/refetch?
Use it during research and validation when answers must reflect live web content, recent news, or extracted fields from specific URLs.
How do I add io.github.lowenbjer/refetch to my agent?
Create a free API key at https://www.refetch.cloud/console, add the remote server https://refetch.cloud/mcp with streamable-http transport, set the X-API-Key header to your ftch_ key, and reload your MCP client.