ScrapeBadger MCP Server
Enables AI assistants to access Twitter/X data, including user profiles, tweets, trends, and more, through the ScrapeBadger API.
README
<!-- mcp-name: io.github.scrape-badger/scrapebadger -->
<p align="center"> <img src="https://scrapebadger.com/logo-dark.png" alt="ScrapeBadger" width="400"> </p>
<h1 align="center">ScrapeBadger MCP Server</h1>
<p align="center"> <a href="https://pypi.org/project/scrapebadger-mcp/"><img src="https://img.shields.io/pypi/v/scrapebadger-mcp.svg" alt="PyPI version"></a> <a href="https://pypi.org/project/scrapebadger-mcp/"><img src="https://img.shields.io/pypi/pyversions/scrapebadger-mcp.svg" alt="Python versions"></a> <a href="https://github.com/scrape-badger/scrapebadger-mcp/blob/main/LICENSE"><img src="https://img.shields.io/pypi/l/scrapebadger-mcp.svg" alt="License"></a> <a href="https://modelcontextprotocol.io"><img src="https://img.shields.io/badge/MCP-Compatible-blue" alt="MCP Compatible"></a> </p>
<p align="center"> <strong>Give your AI agents access to Twitter/X data via the Model Context Protocol</strong> </p>
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: support@scrapebadger.com
- Discord: Join our community
License
MIT License - see LICENSE for details.
<p align="center"> Made with love by <a href="https://scrapebadger.com">ScrapeBadger</a> </p>
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。