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AT Protocol MCP ServerComprehensive LLM Integration

Enable LLMs to interact directly with the AT Protocol ecosystem through a powerful Model Context Protocol server

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What's New in v0.6.0

The latest release grows the roster from 43 to 51 tools and broadens the MCP surface:

New Tool Areas

Bluesky direct messages (list_conversations, get_conversation_messages, send_direct_message), private bookmarks (add_bookmark, remove_bookmark, get_bookmarks), and starter packs (search_starter_packs, get_starter_pack).

Reply & Quote Controls

create_post and create_thread can gate who may reply (a threadgate record via replyControls) and whether a post may be quoted (a postgate record via quoteControls).

Richer MCP Surface

Parameterized resource templates (atproto://profile/{actor}, atproto://feed/{actor}) serve any actor's public data — no authentication required — and the server advertises the completions capability for prompt arguments and template variables.

Streamable HTTP Transport

--transport http serves MCP over Streamable HTTP at /mcp (loopback by default). stdio remains the default transport for MCP clients.

Previously in v0.4.0

v0.4.0 reshaped the tool API for clarity and reliability, consolidating the 62-tool roster down to 43 tools that are all functional, single-purpose, and fully documented:

Consolidated Toolset

Redundant tools were merged behind parameters — for example get_followers + get_follows became get_user_connections (direction: 'followers' | 'follows'), and the batch tools became one batch_action (action: 'follow' | 'like' | 'repost'). Tools that never worked (OAuth flows, real-time streaming, generate_alt_text) were removed.

Machine-Readable Schemas

Every tool now advertises a JSON Schema outputSchema in tools/list, and every tool parameter carries a description. A test enforces 100% coverage so this cannot regress.

New Tools in 0.4.0

search_actors finds accounts by handle or display name, and get_author_feed lists a specific user's posts.

Removed Experimental Tools

The non-functional OAuth and real-time streaming tools were removed in 0.4.0; they are no longer registered. See Experimental & Roadmap for current status.

Quick Start

Get up and running with the AT Protocol MCP Server in minutes:

bash
# Install globally
npm install -g atproto-mcp

# Start the server
atproto-mcp

# Or use with npx
npx atproto-mcp

Key Features

Social Operations

  • Create posts with rich text, images, and embeds
  • Reply to posts with proper threading
  • Like, repost, and manage reactions
  • Follow and unfollow users
  • Access timelines and feeds

Data Retrieval

  • Search posts and content across the network
  • Retrieve user profiles and information
  • Access follower and following lists
  • Get notifications
  • Read threads, custom feeds, and timelines
  • Send and read Bluesky direct messages
  • Save and list private bookmarks
  • Search and inspect starter packs

Authentication

  • App password authentication for write operations
  • Unauthenticated mode for public read-only tools
  • In-memory session handling

OAuth login is not yet implemented and is not exposed as a tool. Real-time firehose streaming is not planned as tools — see Experimental & Roadmap.

Developer Experience

  • TypeScript with full type safety
  • Comprehensive error handling
  • Detailed logging via the --log-level flag
  • Extensive test coverage

Architecture

The AT Protocol MCP Server bridges the gap between LLMs and the AT Protocol ecosystem:

Use Cases

This MCP server enables LLMs to provide powerful AT Protocol capabilities through natural language interaction:

  • LLM-Powered Social Automation: Enable AI assistants to manage posting, engagement, and content on behalf of users through conversational commands
  • AI-Driven Content Analysis: Allow LLMs to analyze social media trends and user behavior through natural language queries and provide insights
  • Intelligent Community Management: Empower LLMs to help users manage communities, moderate content, and engage with followers
  • Conversational Data Integration: Let LLMs integrate AT Protocol data with other systems through natural language workflows
  • AI-Assisted Research & Analytics: Enable LLMs to conduct social media research and analytics by querying and processing AT Protocol data
  • Smart Bot Development: Build intelligent social media bots where LLMs handle natural language understanding and this server handles AT Protocol actions

How it works: Users interact with their LLM client (like Claude Desktop) in natural language, and the LLM uses this MCP server to access AT Protocol functionality. For example, a user might say "Search for trending posts about AI and summarize them," and the LLM would use the search_posts tool to fulfill that request.

Community

Join our growing community of developers building with the AT Protocol:

License

Released under the MIT License.


Made with ❤️ by Cameron Rye