Bluesky Daily MCP

The Bluesky Daily MCP addresses a common pain point for developers and AI assistants: extracting meaningful, day‑specific content from the ever‑growing stream of posts that follow a user on Bluesky. Rather than wrestling with raw API responses or building custom scrapers, this server abstracts the complexity of authentication, pagination, and data shaping into a single, well‑defined MCP endpoint. By delivering curated posts in a lightweight, LLM‑friendly format, it enables downstream tools to perform sentiment analysis, trend spotting, or content summarization without dealing with noisy metadata.

At its core, the server offers a single tool that pulls every post from your follows for a specified date. It leverages the npm package to trim each post down to essential fields—author, content, links, and repost status—while respecting the day boundary you define via a timezone offset. The resulting objects are enriched with clear field names, making them immediately consumable by language models. The server also caches daily results to reduce redundant API calls, thereby staying within Bluesky’s rate limits and speeding up repeated analyses.

Key capabilities include:

• Daily aggregation of follow‑feed posts, automatically handling pagination and time zone conversion.
• LLM‑ready output with descriptive keys such as and , eliminating the need for post‑processing.
• Caching to avoid repeated network traffic and improve response times for the same date query.
• Built‑in prompt templates that guide AI assistants on how to interpret and analyze the retrieved posts.

Real‑world use cases span from personal productivity tools that surface daily highlights to corporate analytics dashboards that monitor brand sentiment across a company’s network. For example, an AI assistant could ask the server for “all posts from my follows on March 15th” and then feed those into a summarization prompt, yielding a concise report of the day’s most talked‑about topics. In educational settings, students could query historical posts to study discourse evolution or practice natural language understanding tasks.

Integration into existing AI workflows is straightforward: the MCP server exposes its tool via standard MCP conventions, so any client that supports MCP (such as Claude Desktop) can invoke it with a simple function call. The server’s environment variables—, , , and optional timeout settings—allow developers to tailor the experience to their credentials and operational constraints. Its lightweight design, coupled with thoughtful caching and error handling for rate limits, makes the Bluesky Daily MCP a standout choice for developers seeking to enrich AI assistants with timely social media insights.