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Bluesky MCP Server: Future-Proof & Scale Enterprise AI Innovation - MCP Implementation

Bluesky MCP Server: Future-Proof & Scale Enterprise AI Innovation

Bluesky MCP Server: Seamlessly scale, manage, and future-proof large models with enterprise-grade performance—effortless control for AI-driven innovation.

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About Bluesky MCP Server

What is Bluesky MCP Server: Future-Proof & Scale Enterprise AI Innovation?

Bluesky MCP Server bridges the Bluesky social platform with the Model Context Protocol (MCP), enabling seamless integration of AI-driven applications with ATProtocol APIs. This server empowers organizations to future-proof their AI workflows by dynamically fetching real-time data from Bluesky feeds, user profiles, trends, and more. Ideal for enterprise use, it scales with your needs while maintaining compatibility with leading large language models (LLMs) like Claude Desktop, turning natural language queries into actionable data insights.

How to Use Bluesky MCP Server: Future-Proof & Scale Enterprise AI Innovation?

Start by cloning the repository and installing dependencies via pnpm install. Build the server with pnpm run build, then test tools directly using the MCP Inspector. Configure your LLM client (e.g., Claude Desktop) by specifying the server path and environment variables like BLUESKY_APP_PASSWORD. Create an app-specific password from your Bluesky account settings to authenticate securely.

Bluesky MCP Server Features

Key Features of Bluesky MCP Server: Future-Proof & Scale Enterprise AI Innovation?

Access over 15 specialized tools to:

  • Analyze trends, user behaviors, and content ecosystems through natural language queries
  • Automate post creation, liking, and following actions driven by LLM outputs
  • Aggregate multi-source data (timelines, user feeds, search results) into LLM contexts
  • Generate actionable reports on follower demographics and content engagement patterns
  • Maintain strict security with in-memory session handling and API isolation

Use Cases of Bluesky MCP Server: Future-Proof & Scale Enterprise AI Innovation?

Transform workflows like:

  • Market research: "Identify top influencers discussing #AIRegulation and their audience sentiment"
  • Content automation: "Draft a viral-ready post based on current trends and schedule posting"
  • Competitive analysis: "Compare follower growth rates between Tesla and SpaceX profiles"
  • Customer service: "Monitor support-related mentions in real-time and auto-respond via LLM"

Bluesky MCP Server FAQ

FAQ from Bluesky MCP Server: Future-Proof & Scale Enterprise AI Innovation?

Q: How do I troubleshoot authentication issues?
Verify app password formatting and check BLUESKY_SERVICE_URL matches your Bluesky domain. Q: Can I use this with non-MCP LLMs?
The server requires MCP-compatible clients like Claude Desktop for full functionality, but raw API endpoints remain accessible. Q: What happens if Bluesky changes their API?
The server's modular architecture allows quick updates to maintain compatibility through regular maintenance releases. Q: Are there rate limits?
Enforced by Bluesky's API policies - monitor X-Ratelimit-Remaining headers in responses.

Content

Bluesky MCP Server

A Model Context Protocol server that connects to Bluesky and provides tools to interact with the ATProtocol.

You can use this MCP server to bring context from various Bluesky / ATProtocol API endpoints directly into the context window of your LLM based application. For example, you can add this server to Claude Desktop and then use it as a natural language Bluesky client.

Features & Tools

  • Interact with common Bluesky features via natural language (e.g. "Get recent posts from David Roberts")
  • Fetch and and analyze feeds ("Find me a feed about Seattle and tell me what people are talking about")
  • Fetch and analyze lists of followers ("What types of accounts does Mark Cuban follow? Give me a detailed report")
  • Use an LLM to write a post and then post it for you 😱 ("Write a haiku about today's weather in my area and post it to bluesky")
  • Search for feeds, posts, and people ("Find posts about the #teslatakedown and give me a summary of revent events")

Here's the current list of tools provided:

  • get-pinned-feeds : returns the set of all "pinned" items from the authenticated user's preferences.
  • get-timeline-posts : returns posts from the authenticated user's home timeline
  • get-feed-posts : returns posts from the specified feed
  • get-list-posts : returns posts from the specified list
  • get-user-posts : returns the specified user's posts
  • get-profile : returns the profile details of the specified user
  • get-follows : returns the set of followes this user follows
  • get-liked-posts : returns recent posts liked by the authenticated user
  • get-trends : returns current trending topics on Bluesky with post counts
  • search-posts : returns posts for a given query. can specify top or lateest
  • search-people : returns people for a given search query
  • search-feeds : returns feeds for a given query
  • like-post : like a post with a specific URI
  • create-post : publish a post
  • follow-user : follow a specific user

Installation

First clone this repo, then install dependencies and build the server:

# Install dependencies
pnpm install

# Build the project
pnpm run build

Testing with MCP Inspector

You can test the bluesky tools directly without connecting to an LLM via the amazing MCP Inspector. First make sure you have built the server and then run:

npx @modelcontextprotocol/inspector node build/src/index.js

Navigate to the local URL provided in your terminal, and then set your BLUESKY_IDENTIFIER, BLUESKY_APP_PASSWORD, and BLUESKY_SERVICE_URL environment variables from the panel on the left. Try the get-timeline tool to see the most revent posts from your home timeline.

MCP Client Configuration

Follow the steps to set up MCP with your client of choice. For example, to set up Claude for desktop to connect to Bluesky, add the following to bluesky section to your claude_desktop_config.json:

{
    "mcpServers": {
      "bluesky": {
        "command": "node",
        "args": ["/path/to/bsky-mcp-server/build/src/index.js"],
        "env": {
            "BLUESKY_IDENTIFIER": "your-bluesky-handle",
            "BLUESKY_APP_PASSWORD": "your-app-password",
            "BLUESKY_SERVICE_URL": "https://bsky.social"
          }
      }
    }
  }

For more details about running MCP servers in Claude for desktop, see https://modelcontextprotocol.io/quickstart/user

Creating App Passwords

To use this MCP server, you need to create an app password for your Bluesky account:

  1. Log in to Bluesky
  2. Go to Settings > App Passwords
  3. Create a new app password specifically for this integration
  4. Set the app password using the BLUESKY_APP_PASSWORD environment variable

Security Notes

  • This server stores your session information in memory only and does not share it with the MCP client.
  • The MCP client only has access to the tools, not to your authentication or app password

License

MIT

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