Twitter MCP Server
by TaazKareem
The Twitter MCP Server provides a powerful Twitter integration for AI agents, leveraging the Model Context Protocol (MCP) standard. It offers a comprehensive set of Twitter functionalities through a clean and consistent interface.
Last updated: N/A
What is Twitter MCP Server?
This server provides access to Twitter's features through MCP tools, allowing seamless integration with AI assistants and other MCP-compatible clients. It's built on top of the agent-twitter-client library and provides robust error handling, rate limiting, and consistent response formatting.
How to use Twitter MCP Server?
To use the server, install the dependencies, build the server, configure the necessary Twitter credentials as environment variables, and add the server configuration to your MCP client's configuration file (e.g., claude_desktop_config.json). Then, you can use the provided tools through the MCP interface.
Key features of Twitter MCP Server
Basic Reading (Get tweets, profiles, search)
User Interactions (Like, retweet, post tweets)
Advanced Features (User relationships, trending topics, timelines)
Media & Advanced Interactions (Media handling, thread creation, follow/unfollow)
Use cases of Twitter MCP Server
Integrating Twitter data into AI assistants
Automating Twitter interactions through AI agents
Analyzing Twitter trends and user behavior
Building social media management tools
FAQ from Twitter MCP Server
What is MCP?
What is MCP?
Model Context Protocol (MCP) is a standard for integrating tools with AI models.
What Twitter credentials are required?
What Twitter credentials are required?
You need to provide Twitter account credentials (username, password, email) and optionally Twitter API keys.
How do I install the server?
How do I install the server?
Follow the installation instructions in the README, including installing dependencies, building the server, and configuring environment variables.
How do I debug the server?
How do I debug the server?
Use the MCP Inspector for debugging, which provides a URL to access debugging tools in your browser.
What is the response format?
What is the response format?
All tools return responses in a consistent format: { content: [{ type: "text", text: string }] }