Fetch MCP Server

Fetches web content from a URL and converts it from HTML to markdown for easier consumption by LLMs.

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.

[!CAUTION] This server can access local/internal IP addresses and may represent a security risk. Exercise caution when using this MCP server to ensure this does not expose any sensitive data.

The fetch tool will truncate the response, but by using thestart_indexargument, you can specify where to start the content extraction. This lets models read a webpage in chunks, until they find the information they need.

- fetch- Fetches a URL from the internet and extracts its contents as markdown.

- url(string, required): URL to fetch
- max_length(integer, optional): Maximum number of characters to return (default: 5000)
- start_index(integer, optional): Start content from this character index (default: 0)
- raw(boolean, optional): Get raw content without markdown conversion (default: false)

- fetch

- Fetch a URL and extract its contents as markdown
- Arguments:

- url(string, required): URL to fetch

Optionally: Install node.js, this will cause the fetch server to use a different HTML simplifier that is more robust.

When usinguvno specific installation is needed. We will useuvxto directly runmcp-server-fetch.

{ "mcpServers": { "fetch": { "command": "uvx", "args": ["mcp-server-fetch"] } } }

{ "mcpServers": { "fetch": { "command": "docker", "args": ["run", "-i", "--rm", "mcp/fetch"] } } }

{ "mcpServers": { "fetch": { "command": "python", "args": ["-m", "mcp_server_fetch"] } } }

For quick installation, use one of the one-click install buttons below...

For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressingCtrl + Shift + Pand typingPreferences: Open User Settings (JSON).

Optionally, you can add it to a file called.vscode/mcp.jsonin your workspace. This will allow you to share the configuration with others.

Note that themcpkey is needed when using themcp.jsonfile.

{ "mcp": { "servers": { "fetch": { "command": "uvx", "args": ["mcp-server-fetch"] } } } }

{ "mcp": { "servers": { "fetch": { "command": "docker", "args": ["run", "-i", "--rm", "mcp/fetch"] } } } }

By default, the server will obey a websites robots.txt file if the request came from the model (via a tool), but not if the request was user initiated (via a prompt). This can be disabled by adding the argument--ignore-robots-txtto theargslist in the configuration.

By default, depending on if the request came from the model (via a tool), or was user initiated (via a prompt), the server will use either the user-agent

ModelContextProtocol/1.0 (Autonomous; +https://github.com/modelcontextprotocol/servers)

ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotocol/servers)

This can be customized by adding the argument--user-agent=YourUserAgentto theargslist in the configuration.

The server can be configured to use a proxy by using the--proxy-urlargument.

You can use the MCP inspector to debug the server. For uvx installations:

npx @modelcontextprotocol/inspector uvx mcp-server-fetch

Or if you've installed the package in a specific directory or are developing on it:

cd path/to/servers/src/fetch npx @modelcontextprotocol/inspector uv run mcp-server-fetch

We encourage contributions to help expand and improve mcp-server-fetch. Whether you want to add new tools, enhance existing functionality, or improve documentation, your input is valuable.

For examples of other MCP servers and implementation patterns, see:https://github.com/modelcontextprotocol/servers

An MCP server for the Urlbox Screenshot API. It enables your client to take screenshots, generate PDFs, extract HTML/markdown, and more from websites.