agent-twitter-client-mcp
A Model Context Protocol (MCP) server that integrates with X using the
What is agent-twitter-client-mcp?
What is agent-twitter-client-mcp? agent-twitter-client-mcp is a Model Context Protocol (MCP) server that allows AI models to interact with Twitter without direct API access, using the agent-twitter-client package. How to use agent-twitter-client-mcp? To use the agent-twitter-client-mcp, install it via npm, set up your Twitter credentials in a .env file, and run the MCP server. You can also run demo scripts to explore its features. Key features of agent-twitter-client-mcp? Authentication Options: Cookie-based, username/password, or Twitter API v2 credentials. Tweet Operations: Fetch, send, search tweets, create polls, and interact with tweets. User Operations: Get user profiles, follow users, and manage followers. Grok Integration: Chat with Grok via Twitter, access real-time data, and continue conversations. Use cases of agent-twitter-client-mcp? Automating Twitter interactions for AI models. Fetching and analyzing tweets for sentiment analysis. Creating polls and engaging with users on Twitter. FAQ from agent-twitter-client-mcp? Can I use this with any Twitter account? Yes, as long as you have the correct authentication credentials. Is there a demo available? Yes, the package includes demo scripts to showcase its features. What are the authentication methods? You can use cookie authentication, username/password, or Twitter API credentials.
As an MCP (Model Context Protocol) server, agent-twitter-client-mcp enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use agent-twitter-client-mcp
To use the agent-twitter-client-mcp, install it via npm, set up your Twitter credentials in a .env file, and run the MCP server. You can also run demo scripts to explore its features. Key features of agent-twitter-client-mcp? Authentication Options: Cookie-based, username/password, or Twitter API v2 credentials. Tweet Operations: Fetch, send, search tweets, create polls, and interact with tweets. User Operations: Get user profiles, follow users, and manage followers. Grok Integration: Chat with Grok via Twitter, access real-time data, and continue conversations. Use cases of agent-twitter-client-mcp? Automating Twitter interactions for AI models. Fetching and analyzing tweets for sentiment analysis. Creating polls and engaging with users on Twitter. FAQ from agent-twitter-client-mcp? Can I use this with any Twitter account? Yes, as long as you have the correct authentication credentials. Is there a demo available? Yes, the package includes demo scripts to showcase its features. What are the authentication methods? You can use cookie authentication, username/password, or Twitter API credentials.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like agent-twitter-client-mcp can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like agent-twitter-client-mcp provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.