How do I use fast-webfetch-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@fast-webfetch-mcp fetch and summarize https://en.wikipedia.org/wiki/MCP" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

fast-webfetch-mcp

by NikkeTryHard

Overview Schema Related Servers Score Discussions

TypeScript

Local

Fast WebFetch MCP Server for Claude Code

A high-performance MCP server for web fetching in Claude Code using Firecrawl backend with automatic fallback.

Features

Tool	Description
`fast_fetch`	Fetch URL, extract content, return markdown
`fast_fetch_raw`	Return raw HTML without processing
`fast_fetch_json`	Fetch and parse JSON endpoints
`fast_fetch_multiple`	Fetch multiple URLs in parallel

How It Works

Primary: Uses Firecrawl API for JS rendering and comment extraction
Fallback: If Firecrawl unavailable, uses direct fetch + Mozilla Readability
AI Summary: Optional summarization via local LLM API

URL -> Try Firecrawl -> Success? -> AI Summary (optional) -> Result
              |
              v (failed/unavailable)
       Direct Fetch + Readability -> AI Summary (optional) -> Result

fast_fetch Parameters

Parameter	Type	Default	Description
`url`	string	required	The URL to fetch
`prompt`	string	-	AI summarization prompt
`max_length`	number	100000	Maximum content length (chars)
`include_links`	boolean	true	Include hyperlinks in output
`no_summarize`	boolean	false	Skip AI summarization even with prompt

Related MCP server: crawler-mcp

Quick Install

Using Claude CLI (Recommended)

# Clone the repo
git clone https://github.com/nikketryhard/fast-webfetch-mcp.git ~/fast-webfetch-mcp

# Install dependencies
cd ~/fast-webfetch-mcp && bun install

# Add MCP server with environment variables
claude mcp add fast-webfetch \
  -e FIRECRAWL_API_URL=http://localhost:3002 \
  -e FAST_WEBFETCH_API_URL=http://127.0.0.1:8045/v1 \
  -e FAST_WEBFETCH_MODEL=gemini-3-flash \
  -e FAST_WEBFETCH_API_KEY=your_api_key_here \
  -e FAST_WEBFETCH_USE_RUST=1 \
  -e FAST_WEBFETCH_RUST_BIN=/home/YOUR_USERNAME/fast-webfetch-mcp/rust/target/release/fast-webfetch-mcp-rs \
  -- bun run ~/fast-webfetch-mcp/src/index.ts

# Or minimal (uses defaults)
claude mcp add fast-webfetch -- bun run ~/fast-webfetch-mcp/src/index.ts

Manual Installation

# Clone the repo
git clone https://github.com/nikketryhard/fast-webfetch-mcp.git ~/fast-webfetch-mcp

# Install dependencies
cd ~/fast-webfetch-mcp && bun install

Then add to ~/.claude.json:

{
  "mcpServers": {
    "fast-webfetch": {
      "command": "bun",
      "args": ["run", "/home/YOUR_USERNAME/fast-webfetch-mcp/src/index.ts"],
      "env": {
        "FIRECRAWL_API_URL": "http://localhost:3002",
        "FAST_WEBFETCH_API_URL": "http://127.0.0.1:8045/v1",
        "FAST_WEBFETCH_MODEL": "gemini-3-flash",
        "FAST_WEBFETCH_API_KEY": "your_api_key_here",
        "FAST_WEBFETCH_USE_RUST": "1",
        "FAST_WEBFETCH_RUST_BIN": "/home/YOUR_USERNAME/fast-webfetch-mcp/rust/target/release/fast-webfetch-mcp-rs"
      }
    }
  }
}

Environment Variables

Variable	Default	Description
`FIRECRAWL_API_URL`	`http://localhost:3002`	Firecrawl API endpoint
`FAST_WEBFETCH_API_URL`	`http://127.0.0.1:8045/v1`	OpenAI-compatible API for summaries
`FAST_WEBFETCH_MODEL`	`gemini-3-flash`	Model name for summarization
`FAST_WEBFETCH_API_KEY`	(empty)	API key for summarization endpoint
`FAST_WEBFETCH_USE_RUST`	`0`	Enable Rust backend worker path
`FAST_WEBFETCH_RUST_BIN`	(empty)	Absolute path to Rust binary

Firecrawl Setup (Optional but Recommended)

For best results (JS rendering, comments extraction), run Firecrawl locally:

# Using Docker
docker run -p 3002:3002 mendableai/firecrawl

# Or use the official Firecrawl MCP
claude mcp add firecrawl-mcp -e FIRECRAWL_API_URL=http://localhost:3002 -- npx -y firecrawl-mcp

Without Firecrawl, the server falls back to direct fetch + Readability (no JS rendering).

Comparison with Native WebFetch

Feature	Native WebFetch	Fast WebFetch
Reddit/Twitter	Blocked (403)	Works
User agent	Claude-User (blocked)	Real browser UA
JS rendering	No	Yes (with Firecrawl)
Comments	No	Yes (with Firecrawl)
Content	Haiku-summarized	Full markdown
AI summary	Haiku 3.5	Configurable model
Max length	100KB	Configurable
Raw HTML	No	Yes
JSON fetch	No	Yes
Parallel fetch	No	Yes
Fallback	None	Direct fetch

Requirements

Bun runtime
Claude Code 2.0+
(Optional) Firecrawl for JS rendering
(Optional) OpenAI-compatible API for summarization

License

MIT

Contributing

PRs welcome! Please open an issue first to discuss changes.

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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