This MCP enables AI models to interact with Twitter via the `agent-twitter-client` package, supporting actions such as tweeting, searching, liking, retweeting, following, and chatting with Grok. It provides multiple authentication methods including cookies, credentials, and API keys. The server supports real-time data access, media posting, polls, and Grok integration, facilitating rich Twitter automation and analysis for developers and AI applications.
Added on:
Created by:
Mar 11 2025
This MCP enables AI models to interact with Twitter via the `agent-twitter-client` package, supporting actions such as tweeting, searching, liking, retweeting, following, and chatting with Grok. It provides multiple authentication methods including cookies, credentials, and API keys. The server supports real-time data access, media posting, polls, and Grok integration, facilitating rich Twitter automation and analysis for developers and AI applications.
Added on:
Created by:
Mar 11 2025
ryanmac
Featured
What is Agent Twitter Client MCP?
The Agent Twitter Client MCP is a comprehensive server solution that connects AI models with Twitter functionalities by leveraging the `agent-twitter-client` package. It allows for automated tweeting, searching tweets, retrieving user profiles, following users, liking, retweeting, quoting tweets, and engaging with Grok for real-time analytics and conversations. Designed for developers and AI integrations, it supports various authentication methods such as cookie-based login, username/password, and Twitter API credentials. The MCP also offers demo scripts, testing interfaces, and detailed documentation to streamline implementation. Its capabilities enable building complex Twitter bots, data analysis tools, and conversational agents, all while managing authentication, rate limits, and media content seamlessly.
Who will use Agent Twitter Client MCP?
- Developers
- AI researchers
- Social media analysts
- Automation engineers
How to use the Agent Twitter Client MCP?
- Step1: Install the MCP server globally or locally
- Step2: Configure environment variables with your Twitter credentials
- Step3: Run the server using `npm start` or `npx agent-twitter-client-mcp`
- Step4: Use CLI commands or API calls to interact with Twitter functions
- Step5: Explore demo scripts for example use cases
Agent Twitter Client MCP's Core Features & Benefits
The Core Features
- Fetch tweets from users
- Get tweets by ID
- Search tweets
- Post tweets with text and media
- Create polls
- Like, retweet, quote tweets
- Get user profiles
- Follow users
- Manage followers and following
- Chat with Grok and continue conversations
- Access real-time data and citations
The Benefits
- Enables AI-driven Twitter interactions without API limits
- Supports multiple authentication methods for flexibility
- Provides comprehensive tweet and user management
- Integrates real-time data and analytics via Grok
- Facilitates automation and data analysis for social media projects
Agent Twitter Client MCP's Main Use Cases & Applications
- Building AI-powered Twitter bots
- Automated social media monitoring
- Real-time Twitter data analysis
- Creating interactive AI chat interfaces with Grok
FAQs of Agent Twitter Client MCP
Developer
- ryanmac
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