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AI-First Scraper

AI-First Scraper

Local
github.com/yubinkim444Browser Automation2Updated 9w ago

About AI-First Scraper

AI-First Scraper is a web scraping and search service for MCP agents that converts webpages, PDFs, and search results into Markdown. It is intended for users who need processable page content rather than raw HTML.

Key features

  1. 01Fetch webpages as Markdown
  2. 02Convert PDFs to Markdown
  3. 03Fetch up to 25 URLs in parallel
  4. 04Search the web and return Markdown pages

Use cases

  1. 01Retrieve webpage content for agent analysis
  2. 02Collect content from multiple URLs in batches
  3. 03Search for articles and obtain readable page text

MCP support

The MCP server provides `fetch_page`, `fetch_pages_batch`, and `search_web` tools for single-page fetching, batch fetching, and web search.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"ai-first-scraper": {
"command": "uvx",
"args": [
"ai-first-scraper-mcp"
],
"env": {
"SCRAPER_URL": "<SCRAPER_URL>",
"SEARCH_URL": "<SEARCH_URL>",
"AFS_TIMEOUT": "<AFS_TIMEOUT>"
}
}
}
}
Run commanduvx ai-first-scraper-mcp
Environment variables to set
SCRAPER_URLURL of the ai-first-scraper instance to use. Default: https://ai-first-scraper.onrender.com
SEARCH_URLURL of the ai-first-search instance to use. Default: https://ai-first-search.onrender.com
AFS_TIMEOUTUpstream HTTP timeout in seconds. Default: 45

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiai-first-scraper-mcp1.0.2

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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:

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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.