Bluesky MCP Server

Overview

The Mcp Server Bluesky provides a ready‑made MCP (Model Context Protocol) bridge between AI assistants and the decentralized social network Bluesky. By exposing a suite of tools that wrap the Bluesky API, it allows developers to give their AI agents the ability to read, write, and moderate content on Bluesky without having to implement authentication or request handling themselves. This is especially useful for AI‑powered social media managers, content generators, and community bots that need to interact with real users in a structured, programmatic way.

The server solves the common pain point of managing OAuth‑style authentication and rate limits when accessing Bluesky. It accepts credentials via environment variables (, , and an optional ) and maintains a persistent session. Once the session is established, the server offers a collection of high‑level tools such as , , and . These tools abstract away the underlying HTTP calls, enabling an AI assistant to perform complex actions—like following a user, reposting content, or deleting a post—with a single JSON payload. This reduces boilerplate and keeps the AI’s prompt language focused on intent rather than protocol details.

Key capabilities include:

• Content creation and moderation: , , , and their delete counterparts let an assistant publish or remove posts, manage reposts, and control visibility.
• Social graph management: Tools such as , , , and enable the agent to build or clean up follower relationships.
• Engagement handling: , , and allow the AI to participate in social interactions, track likes, and respond accordingly.
• Discovery and reading: , , and give the assistant access to user timelines, threads, and search results for content curation or analysis.
• User profile access: provides basic account information, facilitating personalized interactions.

Real‑world scenarios that benefit from this server include:

• Automated community moderation: An AI can monitor a Bluesky feed for policy violations, flag or delete offending posts, and notify moderators.
• Social media automation: A marketing bot can schedule posts, follow target audiences, and track engagement metrics without manual intervention.
• Data collection for research: Researchers can programmatically harvest timelines, threads, and likes to study conversation dynamics or sentiment trends.
• Personal assistants: A virtual assistant can manage a user’s Bluesky presence—posting updates, following new accounts, or responding to mentions—all through natural language commands.

Integration with AI workflows is seamless: developers configure the server in their MCP client (e.g., Claude Desktop) by adding a single entry to . Once the server is running, the AI can invoke any of the listed tools by name, passing only the required parameters. The server handles authentication, request throttling, and error mapping, returning clean JSON responses that the assistant can parse and act upon. This tight coupling lets developers focus on higher‑level conversational logic while the MCP server guarantees reliable interaction with Bluesky’s API.

In summary, Mcp Server Bluesky delivers a robust, opinionated interface to the Bluesky platform, empowering AI assistants with rich social media capabilities while shielding them from low‑level API intricacies. Its breadth of tools, straightforward authentication model, and tight integration with MCP make it an attractive choice for any developer looking to embed Bluesky functionality into intelligent applications.