ai-first-scraper-mcp

ai-first-scraper-mcp

Ad-free web scraping and search exposed as 3 MCP tools. fetch_page, fetch_pages_batch, search_web. Works with Claude Desktop, Cursor, Cline.

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README

<!-- mcp-name: io.github.yubinkim444/ai-first-scraper-mcp -->

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.

PyPI Python MCP License: MIT


What it does

Adds three tools to any MCP-compatible agent:

Tool What it does
fetch_page Fetch one URL → return clean Markdown (HTML or PDF).
fetch_pages_batch Fetch up to 25 URLs in parallel → return Markdown for each.
search_web Run 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

Client Config 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.


License

MIT © yubinkim444

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