The Best MCP Web Fetcher for Claude Code, Cursor & Windsurf in 2026

If you're using Claude Code, Cursor, or Windsurf, you've probably realized that AI assistants need web access to be truly useful. They need to read documentation, fetch API responses, and research solutions.

That's where Model Context Protocol (MCP) comes in — and WebPeel is the best MCP web fetcher available in 2026.

What is MCP?

MCP (Model Context Protocol) is Anthropic's standard for connecting AI assistants to external tools. Think of it as a universal plugin system for Claude and other AI coding tools.

Instead of hardcoding integrations, you install an MCP server (like WebPeel), and your AI assistant instantly gets new capabilities.

WebPeel's 11 MCP Tools

When you install WebPeel as an MCP server, your AI assistant gets eleven tools:

// Your AI can now do this:
"Fetch the latest blog post from paulgraham.com"

// WebPeel handles:
- HTTP request with clean extraction
- Auto-escalates to browser if needed
- Returns markdown, ready for AI consumption

// Your AI can now do this:
"Search for the best React state management libraries in 2026"

// WebPeel returns:
- Top 10 results with titles, URLs, snippets
- No separate search API needed

// Your AI can now do this:
"Crawl all blog posts from example.com/blog"

// WebPeel handles:
- Link discovery and filtering
- Respects robots.txt
- Returns all pages as markdown

// Your AI can now do this:
"Show me all the documentation pages on docs.example.com"

// WebPeel returns:
- Full URL list
- Page metadata
- Useful for research and discovery

// Your AI can now do this:
"Extract all product prices from this Amazon page"

// WebPeel returns:
- Clean, structured JSON
- Uses selectors you define
- Faster than LLM extraction

Setup: 3 Steps, 2 Minutes

Step 1: Install WebPeel

npm install -g webpeel

Step 2: Configure MCP

For Claude Code: Edit ~/.claude/config.json

{
  "mcpServers": {
    "webpeel": {
      "command": "webpeel",
      "args": ["mcp"]
    }
  }
}

For Cursor: Open Settings → MCP → Add Server

Name: WebPeel
Command: webpeel mcp

For Windsurf: Edit ~/.codeium/windsurf/mcp.json

{
  "mcpServers": {
    "webpeel": {
      "command": "webpeel",
      "args": ["mcp"]
    }
  }
}

Step 3: Restart Your AI Tool

That's it. Your AI assistant now has web superpowers.

Real Examples

Example 1: Researching a Library

You: "What's the latest stable version of Next.js?"

Claude (using WebPeel):
1. Calls webpeel_fetch("https://nextjs.org")
2. Extracts version from homepage
3. Answers: "Next.js 15.2 (released Feb 2026)"

Example 2: Debugging an API

You: "Fetch the JSON from api.example.com/users and show me the schema"

Claude (using WebPeel):
1. Calls webpeel_fetch("https://api.example.com/users")
2. Parses JSON response
3. Generates TypeScript interface

Example 3: Documentation Research

You: "Search for React hooks best practices"

Claude (using WebPeel):
1. Calls webpeel_search("React hooks best practices")
2. Fetches top 3 results with webpeel_fetch
3. Summarizes the key patterns

Comparison with Other MCP Fetch Tools

Why Developers Choose WebPeel

Most MCP fetch tools are basic HTTP wrappers. WebPeel is a complete web intelligence system:

• 11 tools in one: Fetch, search, crawl, map, extract — everything your AI needs.
• Smart escalation: Automatically handles JavaScript-heavy pages and bot detection.
• Built-in search: No need for a separate search API or MCP server.
• Token efficiency: Returns clean markdown, not bloated HTML.
• Free local use: Unlimited when running locally (only rate-limited on hosted API).

Try It Right Now

Install WebPeel in 30 seconds:

npm install -g webpeel

Add to your MCP config, restart Claude Code / Cursor / Windsurf, and ask your AI:

"Fetch the readme from github.com/webpeel/webpeel and summarize the key features."

Your AI will do it. No more copy-pasting URLs. No more "I can't access the web" errors.

Read the full MCP setup guide →