注：当前项目为 Serverless Devs 应用，由于应用中会存在需要初始化才可运行的变量（例如应用部署地区、函数名等等），所以不推荐直接 Clone 本仓库到本地进行部署或直接复制 s.yaml 使用，强烈推荐通过
s init ${模版名称}的方法或应用中心进行初始化，详情可参考部署 & 体验 。
Fetch MCP Server 模版
使用该项目，您需要有开通以下服务并拥有对应权限：
| 服务/业务 | 权限 | 相关文档 |
|---|---|---|
| 函数计算 | AliyunFCFullAccess | 帮助文档 计费文档 |
- 🔥 通过 云原生应用开发平台 CAP ，
该应用。
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 fetch tool will truncate the response, but by using the start_index argument, 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 fetchmax_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 using uv no specific installation is needed. We will
use uvx to directly run mcp-server-fetch.
Alternatively you can install mcp-server-fetch via pip:
pip install mcp-server-fetch
After installation, you can run it as a script using:
python -m mcp_server_fetch
Add to your Claude settings:
Using uvx
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}Using docker
"mcpServers": {
"fetch": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/fetch"]
}
}Using pip installation
"mcpServers": {
"fetch": {
"command": "python",
"args": ["-m", "mcp_server_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-txt to the
args list 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)
or
ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotocol/servers)
This can be customized by adding the argument --user-agent=YourUserAgent to the args list in the configuration.
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
Pull requests are welcome! Feel free to contribute new ideas, bug fixes, or enhancements to make mcp-server-fetch even more powerful and useful.
mcp-server-fetch is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
部署完成拿到 URL 后，准备好支持 SSE 的 MCP Client，通过 SSETransport 进行连接。