Best for
- AI applications that need to fetch structured content from the web.
- Tools that need to process article or blog content.
- Applications that need YouTube transcripts.
- Scenarios that require proxy support and SSRF protection.
Fetch MCP Server provides a simple and powerful way for AI assistants to fetch and process web content. It supports multiple output formats and YouTube transcripts, offers proxy and SSRF protection, and is suitable for web data scraping and content extraction use cases.
Strongest · Maintenance 9/20 Weakest · Reliability 7/20
Static review · not runListed 2026-08-07
Read the FMRS scoring method →Runtime:Node.js
DEFAULT_LIMIT
Default character limit for responses (default 5000, set to 0 for no limit), set in the MCP config env block.
MAX_RESPONSE_BYTES
Maximum response body size in bytes (default 10485760 / 10 MB) to prevent memory exhaustion, set in the env block.
{
"mcpServers": {
"fetch": {
"command": "npx",
"args": ["mcp-fetch-server"]
}
}
}npm install -g mcp-fetch-server) and run mcp-fetch.{
"mcpServers": {
"fetch": {
"command": "npx",
"args": ["mcp-fetch-server"]
}
}
}
Shown for Claude Desktop. Other clients may use a different file or key (VS Code uses "servers") — the configurator below converts it.
{
"servers": {
"fetch": {
"command": "npx",
"args": [
"mcp-fetch-server"
]
}
}
}
Goes in your project's .vscode/mcp.json (VS Code uses a "servers" key).
claude mcp add fetch -- npx mcp-fetch-server
Run it in a terminal; replace any <…> placeholders with your own values first.
Confirm the tools fetch_html, fetch_markdown, fetch_txt, fetch_, fetch_readable, and fetch_youtube_transcript appear in your MCP client's tool list, then ask it to fetch https://example.com as Markdown to prove the connection works.
Once connected, you can ask your AI assistant things like:
No matching tools
Listed from the project's documentation, not tested by this site.
Fetch MCP Server is a Model Context Protocol server for fetching web content in multiple formats, including HTML, Markdown, plain text, JSON, readable article content, and YouTube transcripts. It offers six tools that allow AI models to directly fetch and process web content. The server supports custom headers, proxies, pagination, and response size limits, and includes SSRF protection to block private/localhost addresses and DNS rebinding attacks.
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Source revision 1ddb1a59cb09 Data synced 2026-10-13 Read the FMRS scoring method