Connect Your AI Tools to Bluesky's Social Graph

Stop switching between your AI assistant and social media to gather context about conversations, users, or trending topics. This MCP server puts Bluesky's entire social graph at your AI's fingertips—no more manual copying and pasting of posts or hunting down user profiles.

Skip the Context-Switching Dance

You know the drill: you're working with Claude on content strategy, need to check what's trending on Bluesky, grab a few relevant posts, manually copy them over, then continue your conversation. Repeat this a dozen times per session, and you've just burned through 20 minutes of context-switching overhead.

The Bluesky Context Server eliminates this friction entirely. Your AI can query posts, search conversations, and pull user data directly from Bluesky without leaving your workflow.

What You Get Out of the Box

Real-time Social Intelligence: Query trending topics, search specific conversations, or analyze posting patterns without tab-switching. Perfect for content creators, community managers, or anyone building social media strategies.

Seamless User Research: Pull detailed user profiles, follower relationships, and posting history for competitive analysis or community research—all through natural language requests to your AI.

Content Discovery: Find relevant conversations around specific topics, hashtags, or keywords to inform your content strategy or join ongoing discussions with proper context.

Real-World Applications

Content Strategy Development: "Show me the top 20 posts about TypeScript from the past week on Bluesky, then help me draft a response that adds to the conversation."

Community Management: "Find all mentions of our project name in the last 24 hours and summarize the sentiment and key feedback points."

Trend Analysis: "What are developers discussing most about AI tooling this month? Pull the most engaged-with posts and identify common themes."

Research & Discovery: "Find influential TypeScript developers on Bluesky who frequently post about MCP servers and summarize their recent thoughts on the ecosystem."

Installation & Setup

Get running in under 5 minutes:

Quick Start with Smithery:

npx -y @smithery/cli install @laulauland/bluesky-context-server --client claude

Manual Setup:

1. Clone and install:

git clone https://github.com/laulauland/bluesky-context-server.git
cd bluesky-context-server
bun install

2. Configure Claude Desktop (add to ~/Library/Application Support/Claude/config.json):

{
  "mcpServers": {
    "bluesky": {
      "command": "/Users/yourname/.bun/bin/bun",
      "args": ["path/to/bluesky-context-server/index.ts"],
      "env": {
        "BLUESKY_APP_KEY": "your-app-password",
        "BLUESKY_IDENTIFIER": "your-handle"
      }
    }
  }
}

3. Restart Claude Desktop—you're done.

Integration That Actually Works

This isn't another API wrapper that requires you to learn new commands. Once configured, your AI understands natural language requests about Bluesky data:

• "What's the latest discussion about MCP servers?"
• "Show me posts from @username from this week"
• "Find conversations about [topic] with more than 10 likes"

The server handles the AT Protocol complexity while you focus on extracting insights from the data.

Built with TypeScript and the official @atproto/api, this server provides reliable access to Bluesky's decentralized social network through the same MCP interface you're already using for other tools.

Stop treating social media research as a separate workflow. Bring Bluesky's social intelligence directly into your AI-powered productivity stack.