Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"scrapebadger": {
"env": {
"SCRAPEBADGER_API_KEY": "sb_live_your_api_key_here"
},
"args": [
"scrapebadger-mcp"
],
"command": "uvx"
}
}
}Are you the author?
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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.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'scrapebadger-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked scrapebadger-mcp against OSV.dev.
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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 |