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AI-First Scraper

Official registry Search and web

Three MCP tools: fetch_page, fetch_pages_batch, search_web. Ad-free Markdown for AI agents.

Source code Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

PYPI package ai-first-scraper-mcp
Claude Code 
claude mcp add ai-first-scraper -e 'SCRAPER_URL=<SCRAPER_URL>' -e 'SEARCH_URL=<SEARCH_URL>' -e 'AFS_TIMEOUT=<AFS_TIMEOUT>' -- uvx ai-first-scraper-mcp==1.0.2
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "ai-first-scraper": {
            "command": "uvx",
            "args": [
                "ai-first-scraper-mcp==1.0.2"
            ],
            "env": {
                "SCRAPER_URL": "<SCRAPER_URL>",
                "SEARCH_URL": "<SEARCH_URL>",
                "AFS_TIMEOUT": "<AFS_TIMEOUT>"
            }
        }
    }
}

Environment variables

  • SCRAPER_URL URL of the ai-first-scraper instance to use. Default: https://ai-first-scraper.onrender.com
  • SEARCH_URL URL of the ai-first-search instance to use. Default: https://ai-first-search.onrender.com
  • AFS_TIMEOUT Upstream HTTP timeout in seconds. Default: 45

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. ai-first-scraper-mcp
  2. What it does
  3. Install
  4. Where the config file lives
  5. Point at your own backend (optional)
  6. Verify it works
  7. Companion projects
  8. Develop locally
  9. About the author
  10. License

ai-first-scraper-mcp

Plug Claude Desktop, Cursor, or Cline straight into an ad-free web scraper + search engine. Three tools, one line of config.

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What it does

Adds three tools to any MCP-compatible agent:

ToolWhat it does
fetch_pageFetch one URL → return clean Markdown (HTML or PDF).
fetch_pages_batchFetch up to 25 URLs in parallel → return Markdown for each.
search_webRun a web search and return the top-k result pages already converted to Markdown.

No more "the model called curl and then tried to parse 80kB of ad HTML." Your agent receives clean Markdown ready to reason about.

Backed by the ai-first-scraper and ai-first-search APIs.

Install

Fastest — uvx (no install, runs from PyPI on demand)
// claude_desktop_config.json  /  cline_mcp_settings.json  /  ~/.cursor/mcp.json
{
  "mcpServers": {
    "ai-first-scraper": {
      "command": "uvx",
      "args": ["ai-first-scraper-mcp"]
    }
  }
}

Restart your client (Claude Desktop / Cursor / Cline). The three tools above will appear automatically.

Alternative — pip install
pip install ai-first-scraper-mcp
{
  "mcpServers": {
    "ai-first-scraper": {
      "command": "ai-first-scraper-mcp"
    }
  }
}

Where the config file lives

ClientConfig path
Claude Desktop (macOS)~/Library/Application Support/Claude/claude_desktop_config.json
Claude Desktop (Windows)%APPDATA%\Claude\claude_desktop_config.json
Cursor~/.cursor/mcp.json
Cline (VS Code)~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json

Point at your own backend (optional)

By default this server calls the public ai-first-scraper.onrender.com and ai-first-search.onrender.com instances. If you want to self-host, set env vars in your MCP config:

{
  "mcpServers": {
    "ai-first-scraper": {
      "command": "uvx",
      "args": ["ai-first-scraper-mcp"],
      "env": {
        "SCRAPER_URL": "https://your-scraper.example.com",
        "SEARCH_URL":  "https://your-search.example.com",
        "AFS_TIMEOUT": "60"
      }
    }
  }
}

Verify it works

Open your MCP client and ask the agent:

"Use the search_web tool to find the top 3 recent articles about MCP and summarize them in 5 bullets each."

You should see the agent call search_web, get back Markdown for each result, and produce the summary without ever touching raw HTML.

Companion projects

  • ai-first-scraper — the per-URL Markdown cleaner this MCP server fans out to.
  • ai-first-search — search → scrape → markdown pipeline.
  • mcp-rec — record & replay any MCP server's traffic for tests and bug reports.
  • llm-cache-proxy — local cache for OpenAI/Anthropic API calls.
  • promptlocker — lockfile for prompts.
  • context-diff — see what blew up your Claude Code context window.
  • agentwatch — overlay for browser AI agents.

Develop locally

git clone https://github.com/yubinkim444/ai-first-scraper-mcp.git
cd ai-first-scraper-mcp

uv sync                    # or: pip install -e .
ai-first-scraper-mcp       # speaks MCP over stdio

To test against a local client, point its MCP config at the same command.

About the author

Built by yubinkim444, who also makes Kay's Records — an app for iOS and Android.

If this project saved you time, giving the app a try is the nicest way to say thanks.

License

MIT © yubinkim444

Frequently asked questions

What is AI-First Scraper?

Three MCP tools: fetch_page, fetch_pages_batch, search_web. Ad-free Markdown for AI agents.

How do I install AI-First Scraper?

It runs on your machine. In Claude Code: claude mcp add ai-first-scraper -e 'SCRAPER_URL=<SCRAPER_URL>' -e 'SEARCH_URL=<SEARCH_URL>' -e 'AFS_TIMEOUT=<AFS_TIMEOUT>' -- uvx ai-first-scraper-mcp==1.0.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does AI-First Scraper need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is AI-First Scraper open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains AI-First Scraper?

It is published by yubinkim444. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.