Frequently Asked Questions about UBOS Asset Marketplace’s MCP Server for Bluesky

Q: What is an MCP Server? A: MCP stands for Model Context Protocol. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Q: How does the Bluesky MCP Server work? A: It enables AI Agents to automate posting, engage intelligently (like, repost), manage your profile, and integrate seamlessly with the UBOS platform.

Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.

Q: What are the required environment variables for the Bluesky MCP Server? A: You need to set BLUESKY_IDENTIFIER (your Bluesky handle or email) and BLUESKY_PASSWORD (your Bluesky app password).

Q: What tools are available in the Bluesky MCP Server? A: Available tools include login, create-post, get-post, get-posts, delete-post, like-post, unlike-post, repost, unrepost, get-profile, and get-timeline.

Q: How do I install the Bluesky MCP Server manually? A: 1. Install dependencies using npm install. 2. Build the project using npm run build. 3. Configure Claude for Desktop by adding the MCP server configuration to ~/Library/Application Support/Claude/claude_desktop_config.json.

Q: What features does the Bluesky MCP Server support? A: It supports authentication with Bluesky, creating text posts, image uploads, getting user profile and timeline, liking/unliking posts, reposting/unreposting, rich text support, and MCP compatibility with Claude.

Q: Can I use this server with Claude Desktop? A: Yes, the MCP server is designed to be compatible with Claude Desktop.

Q: Is the Bluesky MCP Server secure? A: Yes, it incorporates secure authentication, data encryption, and access controls to protect your data and privacy.

Q: How can I use the format-timeline prompt? A: Use the format-timeline prompt with the timeline parameter to format timeline data in a human-readable way, including author information, post text, engagement metrics, and timestamps.