About ScrapeBadger
ScrapeBadger is an MCP server for AI assistants that need Twitter/X data through the ScrapeBadger API. It provides tools for querying profiles, tweets, trends, places, lists, and communities.
Key features
- 01Retrieve profiles and followers
- 02Search users and tweets
- 03Get global or local trends
- 04Find places and geolocated content
- 05Explore lists and communities
Use cases
- 01Research an account and recent posts
- 02Monitor trending topics by location
- 03Search posts on a specific subject
- 04Explore users and communities in an industry
MCP support
The server exposes Twitter/X data capabilities from the ScrapeBadger API to MCP-compatible clients, with tools for users, tweets, trends, places, lists, and communities.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx scrapebadger-mcpSCRAPEBADGER_API_KEYSecretYour ScrapeBadger API key from scrapebadger.comLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
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
# 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
{
"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):
{
"mcpServers": {
"scrapebadger": {
"command": "uvx",
"args": ["scrapebadger-mcp"],
"env": {
"SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here"
}
}
}
}
Windsurf
Add to your Windsurf MCP configuration:
{
"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):
{
"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
| Tool | Description |
|---|---|
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
| Tool | Description |
|---|---|
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
| Tool | Description |
|---|---|
get_twitter_trends | Get global trending topics (optionally by category) |
get_twitter_place_trends | Get trends for a specific location (by WOEID) |
Geo Tools
| Tool | Description |
|---|---|
search_twitter_places | Search for Twitter places by name |
List Tools
| Tool | Description |
|---|---|
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
| Tool | Description |
|---|---|
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
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)
...
Monitor Trending Topics
You: What's trending in tech on Twitter today?
Claude: I'll check the current trending topics.
Uses get_twitter_trends with category="news"
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
| 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
| Variable | Required | Description |
|---|---|---|
SCRAPEBADGER_API_KEY | Yes | Your ScrapeBadger API key |
Using with Docker
FROM python:3.12-slim
RUN pip install scrapebadger-mcp
ENV SCRAPEBADGER_API_KEY=your_key_here
CMD ["scrapebadger-mcp"]
Using with Python Directly
# 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:
| Error | Description | Solution |
|---|---|---|
AuthenticationError | Invalid API key | Check your SCRAPEBADGER_API_KEY |
RateLimitError | Too many requests | Wait and retry, or upgrade your plan |
InsufficientCreditsError | Out of credits | Purchase more at scrapebadger.com |
NotFoundError | User/tweet not found | Verify the username or tweet ID |
Development
Setup
# 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
# Run the MCP server directly
uv run python -m scrapebadger_mcp.server
# Or use the CLI
uv run scrapebadger-mcp
Testing
# Run tests
uv run pytest
# Run with coverage
uv run pytest --cov=src/scrapebadger_mcp
Code Quality
# 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:
{
"env": {
"SCRAPEBADGER_API_KEY": "sb_live_your_key_here"
}
}
Server not showing in Claude Desktop
- Restart Claude Desktop after changing the config
- Check the config file path is correct for your OS
- Verify JSON syntax is valid (no trailing commas)
"uvx: command not found"
Install uv first:
# 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:
- Reduce request frequency
- Use pagination with smaller
max_results - Upgrade your plan at scrapebadger.com
Related Projects
- ScrapeBadger Python SDK - Official Python SDK
- ScrapeBadger Node.js SDK - Official Node.js SDK
- ScrapeBadger API Docs - Full API documentation
Support
- Documentation: docs.scrapebadger.com
- Issues: GitHub Issues
- Email: [email protected]
- Discord: Join our community
License
MIT License - see LICENSE for details.
Made with love by ScrapeBadger
Comments
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.