Glasp MCP Connector

The Glasp MCP Connector is a tool designed to bridge your personal knowledge base, captured through Glasp's web highlighter, with popular AI conversational agents like Claude and ChatGPT. It functions as an MCP (My Content Provider) server, enabling users to query their own saved highlights and notes using natural language directly within their AI chat interfaces. This integration aims to make personal knowledge more accessible and actionable, allowing users to retrieve specific information without leaving their current conversation. The problem this connector addresses is the common issue of knowledge capture versus retrieval. Many users diligently highlight and save information from the web, but struggle to recall or access this saved content when it's most needed. Traditional methods often require switching between applications or manually searching through saved notes, which is inefficient and often leads to the captured knowledge being underutilized. The Glasp MCP Connector tackles this by embedding retrieval directly into the AI interaction workflow, making it as simple as asking a question. A key feature of the Glasp MCP Connector is its seamless integration with AI models. By acting as an MCP server, it allows AI assistants like Claude and ChatGPT to access a user's Glasp highlights and notes. This means users can ask questions such as, "What did I save about deep work?" and receive relevant passages directly within the chat interface. The connector is designed to be read-only, ensuring that the user's knowledge base remains private and unaltered by the AI. Another significant aspect is the natural language search capability. Users are not limited to keyword searches; they can phrase their queries conversationally, making it intuitive to find information. The connector interprets these natural language requests and retrieves the corresponding highlights from the user's Glasp account. This enhances the usability of saved information, transforming a static collection of notes into a dynamic, searchable knowledge resource. The privacy and security of user data are paramount. The connector operates on a read-only basis, meaning it can access your Glasp content but cannot modify or delete it. Furthermore, it is private to the user, ensuring that only your own highlights and memories are searchable within your AI sessions. This design choice addresses concerns about data security when integrating personal knowledge with AI tools. The Glasp MCP Connector works by establishing a connection between your Glasp account and an MCP-compatible AI client. When you pose a query, the connector processes it, searches your Glasp highlights and notes, and returns the relevant snippets along with their sources. This process is designed to be efficient, providing quick access to information without disrupting your workflow. The primary benefit for users is the enhanced accessibility and utility of their saved knowledge. By integrating personal highlights into AI conversations, users can leverage their past learning more effectively, leading to better-informed decisions and more productive interactions with AI tools. The ability to retrieve information contextually within a chat saves time and reduces the cognitive load associated with knowledge management. Concrete use cases include quickly recalling specific data points or arguments from previous research while drafting a document, retrieving definitions or explanations encountered in past readings during a complex discussion with an AI, or accessing personal insights on a topic when seeking advice from an AI assistant. For instance, a user could ask ChatGPT to summarize a concept, and the connector would pull relevant highlights from their Glasp notes to enrich the AI's response with their own perspective. The Glasp MCP Connector is free to use and integrates with MCP-compatible AI tools such as Claude, ChatGPT, and Claude Code. It is part of the broader Glasp ecosystem, which includes features like AI clones built from highlights, Kindle eBook syncing, daily highlight reviews, web and YouTube highlighting, and PDF annotation. Future updates aim to include support for more MCP tools, advanced filtering options, and improved AI features. In essence, the Glasp MCP Connector transforms your saved web highlights into an instantly searchable, private knowledge base accessible directly within your favorite AI chat interfaces, making your learning and insights more actionable than ever before.