ai-first-scraper-mcp

<!-- 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.

 ![Python]() ![MCP]() ![License: MIT]()

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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.

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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"
    }
  }
}

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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 |

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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"
      }
    }
  }
}

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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.

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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.

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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.

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License

MIT © yubinkim444