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MCP server for ScrapeBadger - Twitter/X scraping API for AI agents (Claude, ChatGPT, Cursor)

2 stars PythonOthers Updated Jul 5, 2026
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Documentation

ScrapeBadger MCP Server

Give your AI agents access to Twitter/X data via the Model Context Protocol


What is this?

ScrapeBadger MCP Server is a Model Context Protocol (MCP) server that enables AI assistants like Claude, ChatGPT, Cursor, Windsurf, and other MCP-compatible clients to access Twitter/X data through the ScrapeBadger API.

With this MCP server, your AI can:

  • Get Twitter user profiles, followers, and following lists
  • Search and retrieve tweets
  • Access trending topics globally or by location
  • Explore Twitter lists and communities
  • Search for places and geolocated content

Quick Start

1. Get Your API Key

Sign up at scrapebadger.com and get your API key.

2. Install

bash
# Using uvx (recommended - no installation needed)
uvx scrapebadger-mcp

# Or install globally with pip
pip install scrapebadger-mcp

# Or with uv
uv tool install scrapebadger-mcp

3. Configure Your AI Client

Claude Desktop

Add to your Claude Desktop configuration file:

macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`

Windows: `%APPDATA%\Claude\claude_desktop_config.json`

json
{
  "mcpServers": {
    "scrapebadger": {
      "command": "uvx",
      "args": ["scrapebadger-mcp"],
      "env": {
        "SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here"
      }
    }
  }
}

Cursor

Add to your Cursor MCP settings (`.cursor/mcp.json`):

json
{
  "mcpServers": {
    "scrapebadger": {
      "command": "uvx",
      "args": ["scrapebadger-mcp"],
      "env": {
        "SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here"
      }
    }
  }
}

Windsurf

Add to your Windsurf MCP configuration:

json
{
  "mcpServers": {
    "scrapebadger": {
      "command": "uvx",
      "args": ["scrapebadger-mcp"],
      "env": {
        "SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here"
      }
    }
  }
}

VS Code with Copilot

Add to your VS Code settings (`.vscode/mcp.json`):

json
{
  "mcpServers": {
    "scrapebadger": {
      "command": "uvx",
      "args": ["scrapebadger-mcp"],
      "env": {
        "SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here"
      }
    }
  }
}

4. Start Using It!

Once configured, simply ask your AI to fetch Twitter data:

> "Get the profile of @elonmusk"

> "Search for tweets about AI agents"

> "What's trending on Twitter right now?"

> "Find the top 10 Python developers on Twitter"


Available Tools

The MCP server provides 17 tools organized into categories:

User Tools

ToolDescription
`get_twitter_user_profile`Get a user's profile by username (bio, followers, following, etc.)
`get_twitter_user_about`Get extended "About" info (account location, username history)
`search_twitter_users`Search for users by query
`get_twitter_followers`Get a user's followers
`get_twitter_following`Get accounts a user follows

Tweet Tools

ToolDescription
`get_twitter_tweet`Get a single tweet by ID
`get_twitter_user_tweets`Get recent tweets from a user
`search_twitter_tweets`Search for tweets (supports Twitter search operators)

Trend Tools

ToolDescription
`get_twitter_trends`Get global trending topics (optionally by category)
`get_twitter_place_trends`Get trends for a specific location (by WOEID)

Geo Tools

ToolDescription
`search_twitter_places`Search for Twitter places by name

List Tools

ToolDescription
`get_twitter_list_detail`Get details about a Twitter list
`search_twitter_lists`Search for Twitter lists
`get_twitter_list_tweets`Get tweets from a list

Community Tools

ToolDescription
`get_twitter_community_detail`Get details about a Twitter community
`search_twitter_communities`Search for communities

Example Conversations

Research a Twitter Account

You: Get the profile and recent tweets from @sama

Claude: I'll fetch Sam Altman's Twitter profile and recent tweets.

*Uses `get_twitter_user_profile` and `get_twitter_user_tweets`*

code
Sam Altman (@sama)
- 3.2M followers, 1,847 following
- Bio: "ceo of openai"
- Joined: December 2008

Recent tweets:
1. "excited to share..." (245K likes)
2. "the future of ai..." (180K likes)
...

You: What's trending in tech on Twitter today?

Claude: I'll check the current trending topics.

*Uses `get_twitter_trends` with category="news"*

code
Top Tech Trends:
1. #GPT5 - 125,000 tweets
2. Apple Vision Pro - 89,000 tweets
3. #AGI - 45,000 tweets
...

Competitive Analysis

You: Compare the Twitter engagement of Stripe, Square, and PayPal

Claude: I'll gather data on all three companies' Twitter profiles.

*Uses `get_twitter_user_profile` for each company*

code
| Company | Followers | Following | Engagement Rate |
|---------|-----------|-----------|-----------------|
| Stripe  | 892K      | 1,245     | 2.3%           |
| Square  | 1.2M      | 567       | 1.8%           |
| PayPal  | 2.1M      | 234       | 0.9%           |

Configuration Options

Environment Variables

VariableRequiredDescription
`SCRAPEBADGER_API_KEY`YesYour ScrapeBadger API key

Using with Docker

dockerfile
FROM python:3.12-slim

RUN pip install scrapebadger-mcp

ENV SCRAPEBADGER_API_KEY=your_key_here

CMD ["scrapebadger-mcp"]

Using with Python Directly

bash
# Set your API key
export SCRAPEBADGER_API_KEY="sb_live_your_key_here"

# Run the server
python -m scrapebadger_mcp.server

Error Handling

The MCP server handles common errors gracefully:

ErrorDescriptionSolution
`AuthenticationError`Invalid API keyCheck your `SCRAPEBADGER_API_KEY`
`RateLimitError`Too many requestsWait and retry, or upgrade your plan
`InsufficientCreditsError`Out of creditsPurchase more at scrapebadger.com
`NotFoundError`User/tweet not foundVerify the username or tweet ID

Development

Setup

bash
# Clone the repository
git clone https://github.com/scrape-badger/scrapebadger-mcp.git
cd scrapebadger-mcp

# Install dependencies
uv sync --dev

# Set your API key
export SCRAPEBADGER_API_KEY="sb_live_your_key_here"

Running Locally

bash
# Run the MCP server directly
uv run python -m scrapebadger_mcp.server

# Or use the CLI
uv run scrapebadger-mcp

Testing

bash
# Run tests
uv run pytest

# Run with coverage
uv run pytest --cov=src/scrapebadger_mcp

Code Quality

bash
# Lint
uv run ruff check src/

# Format
uv run ruff format src/

# Type check
uv run mypy src/

Troubleshooting

"SCRAPEBADGER_API_KEY environment variable is required"

Make sure you've set the API key in your MCP configuration:

json
{
  "env": {
    "SCRAPEBADGER_API_KEY": "sb_live_your_key_here"
  }
}

Server not showing in Claude Desktop

1. Restart Claude Desktop after changing the config

2. Check the config file path is correct for your OS

3. Verify JSON syntax is valid (no trailing commas)

"uvx: command not found"

Install `uv` first:

bash
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

Rate limit errors

ScrapeBadger has usage limits based on your plan. If you're hitting limits:

1. Reduce request frequency

2. Use pagination with smaller `max_results`

3. Upgrade your plan at scrapebadger.com



Support


License

MIT License - see LICENSE for details.


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Frequently asked questions

What is scrapebadger-mcp?

scrapebadger-mcp is MCP server for ScrapeBadger - Twitter/X scraping API for AI agents (Claude, ChatGPT, Cursor)

How do I install scrapebadger-mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is scrapebadger-mcp open source?

Yes — it is hosted on GitHub at https://github.com/scrape-badger/scrapebadger-mcp and has 2 stars.

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