Fetch MCP Server
Retrieve and convert web page content into markdown for AI model processing.
Data last scanned today · Reviewed today
Overview
The Fetch MCP Server enables LLMs to access external web content by fetching URLs and converting complex HTML into clean, readable markdown. It provides precise control over data extraction, allowing users to define character limits and starting indexes, which enables models to process long pages in manageable chunks. The server supports multiple installation methods, including usage via uvx for a seamless experience or standard Python installations. It is designed to work as a straightforward retrieval tool for AI assistants requiring live web information.
Our verdict
With a security score of 56/100, this server is classified as high risk. The primary concern is its total lack of authentication, meaning any configured agent can trigger network requests on your behalf, and its potential to access sensitive local or internal IP addresses. Because it also lacks a read-only execution mode, users should exercise extreme caution and avoid deploying this in environments where untrusted agents have access to critical internal infrastructure.
- Maintained by the official Model Context Protocol organization.
- Zero direct dependencies reduces the supply-chain surface area.
- Active development with commits occurring within the last week.
- No authentication mechanism implemented for tool access.
- Capable of accessing local or internal private network addresses.
- License is currently set to NOASSERTION.
Tools
| Tool | Description | Risk |
|---|---|---|
| fetch | Fetches a URL from the internet and extracts its contents as markdown. | low |
Compatibility
| Client | Local | Docker | Remote | Read-only |
|---|---|---|---|---|
| ChatGPT | ||||
| Claude Desktop | ||||
| Cursor | ||||
| VS Code | ||||
| Windsurf |
Alternatives
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