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
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.
A powerful integration that allows AI models to post directly to X (formerly Twitter) using the Model Context Protocol (MCP) 🤖✨
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| Variable | Description | Required |
|---|---|---|
| TWITTER_API_KEY | Credential the server authenticates with. | Yes |
| TWITTER_API_SECRET | Credential the server authenticates with. | Yes |
| TWITTER_ACCESS_TOKEN | Credential the server authenticates with. | Yes |
| TWITTER_ACCESS_SECRET | Credential the server authenticates with. | Yes |
| GEMINI_API_KEY | Credential the server authenticates with. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Backpressure and concurrency control middleware for [FastMCP](https://github.com/jlowin/fastmcp) MCP servers.
Draw on your website, let your AI agent see it. Visual context for code generation via MCP.
A Model Context Protocol (MCP) server that provides real-time weather alerts and forecasts for locations across the United States. Built with FastMCP and powered by the National Weather Service…
Token-light local memory with SQLite hybrid retrieval for MCP agents.