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gwbischof/bluesky-social-mcp

by Various

A Bluesky MCP

G

MCP

gwbischof/bluesky-social-mcp

Added 1 June 2026

Overview

A Python-based MCP server that exposes Bluesky social platform actions as MCP tools. It allows MCP-compatible AI agents to post, reply, search, and interact with Bluesky through a standardized protocol interface.

Best for

Best for
Developers building MCP-based agents that need direct Bluesky social interaction capabilities.

Use cases

  • Automating Bluesky posts and replies from an AI agent
  • Integrating Bluesky social feeds into MCP-based workflows
  • Searching Bluesky conversations programmatically via MCP

How to use

Tools exposed

  • uv

Example client config

{\n  "mcpServers": {\n    "bluesky-social": {\n      "command": "uvx",\n      "args": ["--from", "git+https://github.com/gwbischof/bluesky-social-mcp@v0.1", "bluesky-social-mcp"],\n      "env": {\n        "BLUESKY_IDENTIFIER": "your-handle.bsky.social",\n        "BLUESKY_APP_PASSWORD": "your-app-password"\n      }\n    }\n  }\n}

Notes

A Python-based MCP server that exposes Bluesky social platform actions as MCP tools. It allows MCP-compatible AI agents to post, reply, search, and interact with Bluesky through a standardized protocol interface.

15 stars on GitHub. Last updated 2025-05-23. Licensed MIT.

Use cases

  • Automating Bluesky posts and replies from an AI agent
  • Integrating Bluesky social feeds into MCP-based workflows
  • Searching Bluesky conversations programmatically via MCP

Pros

  • Lightweight Python codebase with low coupling to Bluesky API
  • Follows the MCP specification for tool interoperability
  • Straightforward setup with minimal dependencies

Cons

  • Limited community adoption with only 15 GitHub stars
  • No documented error handling or retry logic for API failures
  • Lacks authentication management beyond basic credential input

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight Python codebase with low coupling to Bluesky API
  • Follows the MCP specification for tool interoperability
  • Straightforward setup with minimal dependencies

Cons

  • Limited community adoption with only 15 GitHub stars
  • No documented error handling or retry logic for API failures
  • Lacks authentication management beyond basic credential input
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