Pinboard Bookmarks
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Provides Large Language Models with read-only access to Pinboard.in bookmarks for search, filtering, and retrieval.
关于
This server empowers Large Language Models (LLMs) to interact with a user's Pinboard.in bookmark collection at inference time, enabling them to search, filter, and retrieve specific bookmark metadata. Built on FastMCP 2.0, it offers four specialized tools for seamless bookmark interaction, while intelligently managing Pinboard's API rate limits and leveraging smart caching for efficient access. It streamlines the integration of personal web archives and research materials directly into AI-driven workflows, making saved content dynamically accessible within an LLM's context.
主要功能
- Provides four dedicated MCP tools: search, list recent, list by tags, and list all tags.
- Implements intelligent caching with LRU cache and automatic invalidation based on Pinboard updates.
- 0 GitHub stars
- Offers read-only access to Pinboard bookmarks for LLMs.
- Maps legacy Pinboard field names (e.g., description, extended) to intuitive ones (title, notes).
- Enforces Pinboard's API rate limits with a 3-second delay between calls.
使用案例
- Listing and filtering recent or tagged bookmarks to quickly reference specific information or topics.
- Querying personal web bookmarks and notes directly from an LLM for quick information retrieval.
- Integrating saved research articles or web resources into AI-driven workflows and content generation.