keturiosakys/bluesky-context-server

Overview

An open-source server that implements the Model Context Protocol (MCP) to provide AI assistants with access to Bluesky data. It allows large language models to query Bluesky timelines, search posts, and retrieve user profiles through standardized MCP tool calls.

Best for

Best for
Developers building AI assistants that need real-time access to Bluesky content

Use cases

• Connecting an AI agent to live Bluesky feeds for contextual responses
• Building a chatbot that can search and summarize Bluesky posts
• Enabling AI tools to fetch user profiles or thread data from Bluesky

How to use

Install

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

Tools exposed

• bluesky_get_profile
• bluesky_get_follows
• bluesky_get_followers
• bluesky_get_posts
• bluesky_get_personal_feed
• bluesky_get_liked_posts
• bluesky_search_posts
• bluesky_search_profiles

Tested with

Claude Desktop, Cursor

Example client config

{\n	"mcpServers": {\n		"bluesky": {\n			"command": "/Users/your-username/.bun/bin/bun",\n			"args": [\n				"/path/to/bluesky-context-server/packages/server/bin/index.ts"\n			],\n			"env": {\n				"BLUESKY_APP_KEY": "your-app-password-here",\n				"BLUESKY_IDENTIFIER": "your-handle.bsky.social"\n			}\n		}\n	}\n}

Notes

An open-source server that implements the Model Context Protocol (MCP) to provide AI assistants with access to Bluesky data. It allows large language models to query Bluesky timelines, search posts, and retrieve user profiles through standardized MCP tool calls.

31 stars on GitHub. Last updated 2025-08-10. Licensed MIT.

Use cases

• Connecting an AI agent to live Bluesky feeds for contextual responses
• Building a chatbot that can search and summarize Bluesky posts
• Enabling AI tools to fetch user profiles or thread data from Bluesky

Pros

• Lightweight TypeScript implementation with clear MCP compliance
• Open source with active community (31 stars) and MIT license
• Directly addresses a common integration need for Bluesky-based AI tools

Cons

• Relatively niche—limited to Bluesky, not other social platforms
• Small user base may mean slower bug fixes and fewer examples
• Requires a running MCP host and Bluesky API credentials to operate

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