Bluesky Context Server

Overview

The Bluesky Context Server is an MCP (Model Context Protocol) endpoint that bridges Claude Desktop and the Bluesky social network. It gives AI assistants instant access to a user’s own profile, timelines, and the broader Bluesky ecosystem without requiring manual API calls. By exposing a set of well‑defined tools, developers can enable conversational agents to fetch profile data, retrieve followers or followees lists, pull recent posts, and even search the platform for specific content—all within a single dialogue.

Problem Solved

Many AI assistants struggle to interact with niche or federated social networks because each platform demands its own authentication flow and API structure. Bluesky, being a decentralized microblogging service, requires an app‑specific password and token handling that can be cumbersome for end users. The Bluesky Context Server abstracts these details away, providing a unified MCP interface that handles authentication, pagination, and data shaping behind the scenes. This eliminates boilerplate code for developers and ensures that the assistant can safely access user data with minimal configuration.

Core Value Proposition

For developers building AI‑powered experiences that rely on real‑time social data, the server offers a plug‑and‑play solution. Instead of writing custom OAuth flows or parsing raw JSON, developers can simply add the server to their MCP configuration and invoke high‑level tools such as or . The server translates these calls into the appropriate Bluesky API requests, handles pagination via cursors, and returns structured data that Claude can consume directly. This speeds up prototype development and reduces the risk of security missteps.

Key Features

• User‑centric tools: Retrieve profile information, follow lists, and follower lists with optional pagination.
• Content retrieval: Access recent posts and personalized feeds, including engagement metrics like likes or reposts.
• Search capability: Query the Bluesky index for posts matching keywords, enabling contextual browsing or trend analysis.
• Secure credential handling: Uses Bluesky app passwords instead of raw passwords, ensuring that the MCP server operates with least‑privilege credentials.
• Runtime flexibility: Supports both Bun and Node.js environments, allowing integration into diverse deployment pipelines.

Use Cases

• Personal assistant: A user asks Claude to show their latest Bluesky posts or the profiles of accounts they follow, and the assistant responds with up‑to‑date data.
• Content curation: An AI curates a daily digest of Bluesky posts about a specific topic, pulling results via the search tool and summarizing them for the user.
• Social analytics: Developers build dashboards that query follower growth or engagement trends, feeding the data into Claude for conversational insights.
• Cross‑platform workflows: Integrate Bluesky content retrieval with other MCP servers, enabling a single assistant to pull data from multiple social networks in one conversation.

Integration Highlights

The server fits seamlessly into existing MCP workflows. Once added to the configuration, Claude can invoke any of the exposed tools with a simple prompt. The MCP client automatically handles request routing, authentication headers, and response parsing, allowing developers to focus on higher‑level logic. Because the server returns fully structured JSON, downstream components—such as summarization or natural language generation modules—can consume the data without additional transformation.

Unique Advantages

What sets this MCP server apart is its focus on a decentralized, privacy‑first platform that many mainstream assistants overlook. By providing a ready‑made bridge to Bluesky, it empowers developers to create AI experiences that respect user autonomy and data sovereignty. The server’s lightweight implementation, coupled with its clear toolset, makes it an attractive choice for anyone looking to embed Bluesky interactions into conversational AI without wrestling with the platform’s underlying complexities.