FineData MCP Server

FineData MCP Server

Enables AI agents to scrape any website by providing tools for JavaScript rendering, antibot bypass, and automatic captcha solving. It supports synchronous, asynchronous, and batch scraping operations with built-in proxy rotation.

Category
Visit Server

README

FineData MCP Server

MCP (Model Context Protocol) server for FineData web scraping API.

Enables AI agents like Claude, Cursor, and GPT to scrape any website with:

  • Antibot Bypass - Cloudflare, DataDome, PerimeterX, and more
  • JavaScript Rendering - Full browser rendering with Playwright
  • Captcha Solving - reCAPTCHA, hCaptcha, Cloudflare Turnstile, Yandex
  • Proxy Rotation - 87K+ datacenter, residential, and mobile proxies
  • Smart Retry - Automatic retries with block detection

Installation

Using uvx (Recommended)

# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Run directly with uvx
FINEDATA_API_KEY=fd_xxx uvx finedata-mcp

Using pip

pip install finedata-mcp

# Run
FINEDATA_API_KEY=fd_xxx finedata-mcp

Using npx

npx -y @finedata/mcp-server

Configuration

Cursor IDE

Step 1: Open Cursor Settings → MCP

Or create/edit ~/.cursor/mcp.json:

macOS/Linux:

mkdir -p ~/.cursor && nano ~/.cursor/mcp.json

Windows:

%USERPROFILE%\.cursor\mcp.json

Step 2: Add FineData MCP server:

{
  "mcpServers": {
    "finedata": {
      "command": "uvx",
      "args": ["finedata-mcp"],
      "env": {
        "FINEDATA_API_KEY": "fd_your_api_key_here"
      }
    }
  }
}

Step 3: Restart Cursor

Step 4: Test by asking the agent:

"Scrape https://example.com and show me the title"

Alternative: Using npx (if uv not installed)

{
  "mcpServers": {
    "finedata": {
      "command": "npx",
      "args": ["-y", "@finedata/mcp-server"],
      "env": {
        "FINEDATA_API_KEY": "fd_your_api_key_here"
      }
    }
  }
}

Note: npx requires Python 3.10+ and uv/pipx installed. uvx is recommended.


Claude Desktop

Step 1: Open config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

Step 2: Add MCP server:

{
  "mcpServers": {
    "finedata": {
      "command": "uvx",
      "args": ["finedata-mcp"],
      "env": {
        "FINEDATA_API_KEY": "fd_your_api_key_here"
      }
    }
  }
}

Step 3: Restart Claude Desktop


Environment Variables

Variable Required Description
FINEDATA_API_KEY Yes Your FineData API key
FINEDATA_API_URL No API URL (default: https://api.finedata.ai)
FINEDATA_TIMEOUT No Default timeout in seconds (default: 60)

Available Tools

scrape_url

Scrape content from any web page with antibot bypass.

scrape_url(
  url: "https://example.com",
  use_js_render: false,      # Enable Playwright for SPAs
  use_residential: false,    # Use residential proxy
  use_undetected: false,     # Use Undetected Chrome
  solve_captcha: false,      # Auto-solve captchas
  timeout: 60                # Timeout in seconds
)

Token costs:

  • Base request: 1 token
  • Antibot bypass: +2 tokens
  • JS rendering: +5 tokens
  • Residential proxy: +3 tokens
  • Captcha solving: +10 tokens

scrape_async

Submit an async scraping job for long-running requests.

scrape_async(
  url: "https://heavy-site.com",
  use_js_render: true,
  timeout: 120,
  callback_url: "https://your-webhook.com/callback"
)

Returns a job_id for status polling.

get_job_status

Get the status of an async scraping job.

get_job_status(job_id: "550e8400-e29b-41d4-a716-446655440000")

Statuses: pending, processing, completed, failed, cancelled

batch_scrape

Scrape multiple URLs in a single batch (up to 100 URLs).

batch_scrape(
  urls: ["https://example.com/1", "https://example.com/2"],
  use_js_render: false,
  callback_url: "https://your-webhook.com/batch-done"
)

get_usage

Get current API token usage.

get_usage()

Examples

Basic Scraping

Ask Claude or your AI agent:

"Scrape https://example.com and show me the content"

JavaScript Rendered Page

"Scrape https://spa-website.com with JavaScript rendering enabled"

Protected Site with Captcha

"Scrape https://protected-site.com using residential proxy and captcha solving"

Batch Scraping

"Scrape these URLs: https://example.com/1, https://example.com/2, https://example.com/3"

Pricing

FineData uses token-based pricing. Each feature adds tokens:

Feature Tokens
Base request 1
Antibot (TLS fingerprinting) +2
JS Rendering (Playwright) +5
Undetected Chrome +5
Residential Proxy +3
Mobile Proxy +4
reCAPTCHA / hCaptcha +10
Cloudflare Turnstile +12
Yandex SmartCaptcha +15

Get your API key and free trial tokens at finedata.ai.

Troubleshooting

"No module named finedata_mcp"

Install uv and use uvx:

curl -LsSf https://astral.sh/uv/install.sh | sh

"externally-managed-environment" on macOS

This happens with Homebrew Python. Use uvx instead of pip:

{
  "command": "uvx",
  "args": ["finedata-mcp"]
}

MCP server not appearing in Cursor

  1. Check ~/.cursor/mcp.json syntax (valid JSON)
  2. Ensure FINEDATA_API_KEY is set
  3. Restart Cursor completely
  4. Check Cursor Output → MCP for errors

Support

  • Documentation: https://docs.finedata.ai
  • Email: support@finedata.ai
  • Issues: https://github.com/quality-network/finedata-mcp/issues

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured