A Model Context Protocol (MCP) server for interacting with Twitter.
https://github.com/adhikasp/mcp-twikitStop switching between your development environment and Twitter when you need social media insights. MCP-Twikit brings Twitter's data and functionality directly into your LLM conversations, letting you search, analyze, and interact with Twitter without breaking your flow.
You're probably already using Claude or other LLMs for analysis, but you hit a wall when you need real-time social media data. Instead of manually gathering tweets, copying data, and context-switching between tools, MCP-Twikit lets your AI assistant pull Twitter data directly and perform sophisticated analysis in one conversation.
Real impact: Turn a 30-minute manual research process into a single prompt that delivers structured insights.
Competitive Analysis: Compare customer sentiment across multiple ISPs by searching support mentions - the example shows analyzing @IndiHomeCare vs @BiznetHome vs others, ranking them by customer satisfaction in seconds.
Market Research: Track hashtag performance, viral content patterns, or industry discussions without leaving your analysis environment.
Customer Service Intelligence: Monitor brand mentions, analyze complaint patterns, and identify trending issues before they explode.
Content Strategy: Analyze what's working for competitors, identify engagement patterns, and optimize your posting strategy based on real data.
Social Media Automation: Build workflows that post updates, respond to mentions, or alert you to specific keywords or sentiment changes.
Install via Smithery (automatic Claude Desktop integration):
npx -y @smithery/cli install mcp-twikit --client claude
Or manually configure with your Twitter credentials:
{
"mcpServer": {
"command": "uvx",
"args": ["--from", "git+https://github.com/adhikasp/mcp-twikit", "mcp-twikit"],
"env": {
"TWITTER_USERNAME": "@your_username",
"TWITTER_EMAIL": "[email protected]",
"TWITTER_PASSWORD": "your_password"
}
}
}
Once connected, you can ask your AI assistant things like:
The AI handles the Twitter API calls, data parsing, and analysis - you get actionable insights without the integration overhead.
This isn't just another API wrapper. MCP-Twikit integrates Twitter intelligence directly into your existing LLM workflows, whether you're doing market research, competitive analysis, or social media management. Your AI assistant becomes your social media analyst, researcher, and content manager.
Ready to stop manually gathering Twitter data? Install MCP-Twikit and start getting social media insights at the speed of conversation.
MCP-Twikit: 177 stars on GitHub | MIT Licensed | Active development