ScrapeBadger MCP Server Give your AI agents access to Twitter/X data via the Model Context Protocol 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 f
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npx mdskills install scrape-badger/scrapebadger-mcpComprehensive MCP server providing Twitter data access with 17 well-documented tools and excellent setup guides

ScrapeBadger MCP Server
Give your AI agents access to Twitter/X data via the Model Context Protocol
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:
Sign up at scrapebadger.com and get your API key.
# 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
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"
}
}
}
}
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"
}
}
}
}
Add to your Windsurf MCP configuration:
{
"mcpServers": {
"scrapebadger": {
"command": "uvx",
"args": ["scrapebadger-mcp"],
"env": {
"SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here"
}
}
}
}
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"
}
}
}
}
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"
The MCP server provides 17 tools organized into categories:
| 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 |
| 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) |
| Tool | Description |
|---|---|
get_twitter_trends | Get global trending topics (optionally by category) |
get_twitter_place_trends | Get trends for a specific location (by WOEID) |
| Tool | Description |
|---|---|
search_twitter_places | Search for Twitter places by name |
| 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 |
| Tool | Description |
|---|---|
get_twitter_community_detail | Get details about a Twitter community |
search_twitter_communities | Search for communities |
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)
...
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
...
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% |
| Variable | Required | Description |
|---|---|---|
SCRAPEBADGER_API_KEY | Yes | Your ScrapeBadger API key |
FROM python:3.12-slim
RUN pip install scrapebadger-mcp
ENV SCRAPEBADGER_API_KEY=your_key_here
CMD ["scrapebadger-mcp"]
# Set your API key
export SCRAPEBADGER_API_KEY="sb_live_your_key_here"
# Run the server
python -m scrapebadger_mcp.server
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 |
# 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"
# Run the MCP server directly
uv run python -m scrapebadger_mcp.server
# Or use the CLI
uv run scrapebadger-mcp
# Run tests
uv run pytest
# Run with coverage
uv run pytest --cov=src/scrapebadger_mcp
# Lint
uv run ruff check src/
# Format
uv run ruff format src/
# Type check
uv run mypy src/
Make sure you've set the API key in your MCP configuration:
{
"env": {
"SCRAPEBADGER_API_KEY": "sb_live_your_key_here"
}
}
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"
ScrapeBadger has usage limits based on your plan. If you're hitting limits:
max_resultsMIT License - see LICENSE for details.
Made with love by ScrapeBadger
Install via CLI
npx mdskills install scrape-badger/scrapebadger-mcpScrapeBadger MCP Server is a free, open-source AI agent skill. ScrapeBadger MCP Server Give your AI agents access to Twitter/X data via the Model Context Protocol 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 f
Install ScrapeBadger MCP Server with a single command:
npx mdskills install scrape-badger/scrapebadger-mcpThis downloads the skill files into your project and your AI agent picks them up automatically.
ScrapeBadger MCP Server works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.