What does 🐦 X-Post MCP 🚀 do?
It allows AI models (via Gemini) to post to X (Twitter) by exposing a MCP tool called `createPost`. Users interact through a chat client that translates requests into AI-generated tweets.
@subhadeeproy3902
基本信息
A Model Context Protocol (MCP) server that allows interaction with the X API, along with a client to interact with the server using Google's Gemini AI.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"x-post-mcp": {
"command": "bun",
"args": [
"run",
"dev"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
X-Post MCP is a client-server application that enables AI models to create and publish posts on X (formerly Twitter) through a standardized interface using the Model Context Protocol (MCP). It integrates Google Gemini AI models with the X platform, allowing AI assistants to generate and post content.
Install prerequisites (Bun v1.2.5+, X API credentials, Google Gemini API key). Clone the repository, install dependencies in both server and client directories, and create .env files with API keys. Start the server with bun run dev (listens on port 3001) and the client with bun run index.ts. Interact via the chat interface to instruct the AI to post to X.
createPost toolIt allows AI models (via Gemini) to post to X (Twitter) by exposing a MCP tool called `createPost`. Users interact through a chat client that translates requests into AI-generated tweets.
You need Bun v1.2.5 or later, X (Twitter) API credentials (API key, secret, access token, access secret), and a Google Gemini API key.
Register a developer account on the X Developer Portal, create a project and app, enable OAuth 1.0a with “Read and Write and Direct Messages” permissions, and generate consumer keys and access tokens.
The server uses Server-Sent Events (SSE) for communication. The client connects to the MCP server and sends commands via the chat interface.
The server automatically truncates the post to fit within X’s character limit before publishing.
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