🎉Our General Web Scraping API is now in Beta — scrape any website with AI extraction→

ScrapeBadger MCP Server for AI Agents

Give your AI agents access to real-time Twitter data through the Model Context Protocol. Works with Claude, custom agents, and any MCP-compatible client.

Start Free Trial

Setup Guide

1

Install the MCP server: npx @scrapebadger/mcp-server or Docker

2

Configure your API key in the MCP server settings

3

Connect your AI agent to the MCP server endpoint

4

The agent can now call Twitter endpoints as MCP tools

5

All 34+ Twitter endpoints are available as structured tools

6

See /mcp page for detailed setup guides per client

Code Example

// Claude Desktop MCP configuration (~/.claude/claude_desktop_config.json)
{
  "mcpServers": {
    "scrapebadger": {
      "command": "npx",
      "args": ["-y", "@scrapebadger/mcp-server"],
      "env": {
        "SCRAPEBADGER_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

// Now Claude can use tools like:
// - get_twitter_user_profile("elonmusk")
// - search_twitter_tweets("AI news")
// - get_twitter_followers("openai")

What You Can Build

AI-powered social media research assistants
Automated tweet analysis with Claude or GPT
Real-time Twitter monitoring AI agents
Content generation informed by trending topics
AI-driven influencer vetting workflows
Natural language Twitter data queries

Frequently Asked Questions

Model Context Protocol (MCP) is an open standard that lets AI models connect to external data sources and tools. ScrapeBadger provides a native MCP server for Twitter data.

Any MCP-compatible client: Claude Desktop, Claude Code, custom agents built with the Agent SDK, and any tool that supports MCP.

No. The MCP server exposes Twitter endpoints as structured tools with descriptions. The AI agent discovers and uses them automatically.

The MCP server wraps the REST API in MCP tool format. For direct integration in your code, use the Python or Node.js SDK. For AI agent integration, use MCP.

Other Integrations

Python SDK

The official Python client for ScrapeBadger. Fully type-hinted, async-ready, and designed for data pipelines. Install with pip install scrapebadger.

Node.js SDK

The official Node.js/TypeScript client for ScrapeBadger. Full TypeScript definitions, Promise-based API, and tree-shakeable. npm install scrapebadger.

n8n

Build automated Twitter data pipelines with n8n's visual workflow builder. Extract tweets, monitor brands, and trigger actions — all without writing code.