twitter-mcp-js
🥈SilverComplete Twitter API MCP server with 32 tools for social media integration, analytics, and automation
310Updated Yesterday
Intermediate30min to implementmarketing
Saves ~45 min per use
Quick InstallView Source
git clone https://github.com/yolleygit/twitter-mcp-js.gitWorks with:
Claude
Overview
About This Skill
twitter-mcp-js is a complete Twitter API MCP server providing 32 tools for seamless social media integration, analytics, and automation. Built for marketing workflows, it enables programmatic access to Twitter functionality through a standardized MCP interface. This skill supports both social media management and data-driven analytics use cases.
How to Use
["Install and configure the twitter-mcp-js server in your local or cloud environment. Follow the setup guide in the repository to authenticate with Twitter API v2 using your bearer token.","Identify the specific Twitter action you need to perform (e.g., posting, retrieving tweets, analyzing metrics). Use the `list_tools` command to see all available tools and their required parameters.","Construct your prompt using the prompt template above. Replace [PLACEHOLDERS] with your specific inputs (e.g., tweet text, username, date range). For example: 'Post a tweet with the text [PROMOTE_NEW_PRODUCT] and image [PRODUCT_IMAGE_URL]. Then, retrieve the latest 20 tweets from [COMPANY_HANDLE] and calculate their average engagement rate.'","Execute the command in your AI assistant (e.g., Claude or ChatGPT) with the MCP server enabled. Review the output and refine your inputs if needed. For automation, chain multiple tools (e.g., post a tweet, then monitor replies).","For advanced use cases, combine this skill with other MCP servers (e.g., Notion, Google Sheets) to create workflows like auto-saving tweet metrics to a spreadsheet or triggering follow-up actions based on engagement data."]
Use Cases
Automate tweet publishing and scheduling across campaigns
Extract Twitter analytics and engagement metrics for reporting
Monitor brand mentions and competitor activity on Twitter
Integrate Twitter data into broader marketing automation workflows
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/yolleygit/twitter-mcp-jsRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Use the twitter-mcp-js server to [ACTION] on Twitter. For example: 'Post a tweet with the text [TWEET_TEXT] and image [IMAGE_URL]. Then, retrieve the latest 10 tweets from [USER_HANDLE] and analyze their engagement metrics.' Include [PLACEHOLDERS] for dynamic inputs like usernames, tweet content, or timeframes.
Example Output
```json
{
"posted_tweet": {
"id": "178923456789012345",
"text": "Just launched our new AI tool! 🚀 Check it out at https://example.com #AI #Innovation",
"created_at": "2024-05-20T14:30:22Z",
"author_id": "1234567890",
"public_metrics": {
"retweet_count": 12,
"reply_count": 5,
"like_count": 45,
"quote_tweet_count": 2
}
},
"latest_tweets": [
{
"id": "178912345678901234",
"text": "Excited to share our quarterly results! 📈 Revenue up 25% YoY. Full report: https://example.com/report",
"created_at": "2024-05-19T09:15:00Z",
"author_id": "1234567890",
"public_metrics": {
"retweet_count": 89,
"reply_count": 23,
"like_count": 156,
"quote_tweet_count": 12
}
},
{
"id": "178901234567890123",
"text": "Join our webinar on AI trends next Tuesday! 🤖 Register now: https://example.com/webinar",
"created_at": "2024-05-18T16:45:00Z",
"author_id": "1234567890",
"public_metrics": {
"retweet_count": 56,
"reply_count": 14,
"like_count": 98,
"quote_tweet_count": 8
}
}
],
"analysis": {
"top_engagement_tweet": "The tweet about quarterly results had the highest engagement with 280 total interactions.",
"engagement_trend": "Recent tweets show a 30% increase in average likes compared to last month.",
"recommendations": [
"Schedule tweets during peak hours (9 AM - 11 AM PST) for better reach.",
"Include more visual content (images/videos) to boost engagement rates."
]
}
}
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