mcp -bluesky-py
🤖 Optimize social network interactions for AI agents with a lightweight Python server implementing the Model Context Protocol (MCP) for Bluesky.
claude mcp add --transport stdio khleel213-mcp-server-bluesky-py python -m mcp_server_bluesky_py
How to use
mcp-server-bluesky-py provides a lightweight Python-based MCP server that helps an AI agent connect and interact with BlueSky-style social media interfaces. The server exposes a structured API to receive prompts, manage conversations, and relay actions to the connected social media platform through a Bluesky-compatible workflow. Use the built-in tooling to configure endpoints, define capabilities, and monitor activity, enabling your agent to read timelines, post updates, fetch user data, and handle notifications within a cohesive MCP framework. The server is designed to be simple to run locally or in a lightweight deployment and focuses on reliable message routing between the agent and the social media platform integration.
How to install
Prerequisites:
- Python 3.8+ installed on your system
- Access to install Python packages (pip)
- Basic familiarity with running Python modules from the command line
Installation steps:
-
Create and activate a virtual environment (optional but recommended): python -m venv venv source venv/bin/activate # Unix/macOS venv\Scripts\activate.bat # Windows
-
Install required dependencies (if a requirements.txt is provided in the repo): pip install -r requirements.txt (If no requirements file is provided, proceed to the next step as the package itself should bring downstream dependencies.)
-
Run the MCP server using the module approach: python -m mcp_server_bluesky_py
-
Verify the server starts and is listening on the expected port (default 8000 or as configured in code).
Notes:
- If the package name differs, adjust the -m module accordingly to the actual entry point provided by the repository.
- You may need to set environment variables for API keys or tokens required by Bluesky integration (see additional_notes for details).
Additional notes
Tips and common issues:
- If you encounter module not found errors, ensure you are running inside the correct virtual environment and that the module name matches the package layout (for example, mcp_server_bluesky_py).
- Some integrations require API keys or OAuth tokens. Prepare environment variables such as BLUESKY_API_KEY or similar names as indicated by the project's documentation, and load them into your shell before starting the server.
- Check for port conflicts if the default port is already in use; you can typically configure the port in the server’s startup configuration or environment variables.
- For troubleshooting, verify network access to the Bluesky service and ensure the service is reachable from the machine running the MCP server.
- Review the repository's documentation or released notes for any version-specific setup steps or required dependencies.
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