What parameters does the fetch tool accept?
The `fetch` tool requires a `url` (string) and optionally accepts `max_length` (integer, default 5000), `start_index` (integer, default 0), and `raw` (boolean, default false).
@modelcontextprotocol
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使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": [
"mcp-server-fetch"
]
}
}
}Fetches a URL from the internet and extracts its contents as markdown.
Fetch is a Model Context Protocol server that enables LLMs to retrieve and process content from web pages by converting HTML to markdown for easier consumption. It provides a fetch tool and a fetch prompt for fetching URLs from the internet.
Install Fetch via uvx (recommended), pip, or Docker. Configure it in your MCP client (e.g., Claude.app or VS Code) with the appropriate command and arguments. Use the fetch tool with a required url and optional max_length, start_index, and raw parameters to control content extraction. Paginate long pages by adjusting start_index.
start_index parameter--user-agent argument--proxy-urlraw=trueThe `fetch` tool requires a `url` (string) and optionally accepts `max_length` (integer, default 5000), `start_index` (integer, default 0), and `raw` (boolean, default false).
Yes. The README warns that the server can access local/internal IP addresses and may represent a security risk. Exercise caution to avoid exposing sensitive data.
By default, it obeys robots.txt for tool calls (model-initiated requests) but not for user-initiated prompts. You can disable this behavior with the `--ignore-robots-txt` argument.
Fetch can be run via `uvx` (recommended), installed with `pip` and executed as `python -m mcp_server_fetch`, or used as a Docker container `mcp/fetch`.
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