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by brianellin • Analytics & Monitoring
An MCP server that connects LLM-based clients to Bluesky (ATProtocol) to fetch, search, analyze, and post content via natural language tools.
Read and summarize a user's home timeline or specific feeds and present concise, time-filtered summaries.
Analyze social graphs (followers/follows) and liked posts to generate user reports or audience insights.
Compose, post, like, or follow on Bluesky programmatically using natural language workflows.
This server exposes a suite of tools that let Model Context Protocol (MCP) clients interact with Bluesky/ATProtocol: fetching timelines, feeds, profiles, followers, trends, searching posts/people/feeds, and performing actions like liking, following, and creating posts. It is designed to be added to clients like Claude Desktop or inspected with the MCP Inspector, letting LLM agents bring live Bluesky context into their prompt window. Authentication uses a Bluesky identifier and an app password; session data is kept in memory and not shared with the client.
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