A Model Context Protocol (MCP) server that provides URL reading capabilities, extracting web content and converting it to clean Markdown format.
A Model Context Protocol (MCP) server that provides URL reading capabilities, extracting web content and converting it to clean Markdown format. That is what the read url mcp mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
The server publishes 1 tool. What each one is for:
Dependencies — The Dependencies tool exposed by this serverConfiguration is passed through the environment: PYTHONPATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
This sits in the search and retrieval group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Read Url MCP's toolset — Dependencies — is a fair guide to whether it matches your workflow. It is maintained by takada-at; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.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 |
|---|---|
| Dependencies | The Dependencies tool exposed by this server. |
## MCP Setting
```
{
"mcpServers": {
"read_url_mcp": {
"command": "uv",
"args": [
"run",
"--directory",
"<directory>",
"read_url_mcp/mcp_server"
],
"env": {
"PYTHONPATH": "<directory>"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| PYTHONPATH | Filesystem location the server is allowed to use. | Optional |
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.