A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web
Connect Tmp Fetch to Claude, Cursor or any other MCP client and it stops being a tab you switch to. A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption. The tmp fetch mcp server is what makes that connection.
The server ships on npm as @modelcontextprotocol/inspector, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
fetch — Fetches a URL from the internet and extracts its contents as markdownPrompts — The Prompts tool exposed by this serverPlenty of search and retrieval servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Tmp Fetch's toolset — fetch, Prompts — is a fair guide to whether it matches your workflow. It is maintained by AkM-2018; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| fetch | Fetches a URL from the internet and extracts its contents as markdown. |
| Prompts | The Prompts tool exposed by this server. |
{
"mcpServers": {
"tmp-fetch": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.