Glasp MCP Connector

Product Introduction

1. Definition: The Glasp MCP Connector is a custom Model Context Protocol (MCP) server that provides a secure, read-only bridge between a user's Glasp knowledge base and AI assistants like Claude and ChatGPT. It is a technical integration tool within the AI-augmented productivity and personal knowledge management (PKM) space.
2. Core Value Proposition: It exists to unlock the latent value within a user's digital reading history by enabling natural language search and contextual recall of saved content directly within an AI chat interface. Its primary function is to transform a static archive of highlights, notes, and summaries into an interactive, queryable memory extension for AI.

Main Features

1. Natural Language Library Search: This feature allows users to query their entire Glasp library—including highlights, notes, article summaries, and video transcripts—using conversational language. How it works: The MCP server acts as an intermediary, translating a user's natural language query from the AI assistant (e.g., "What have I highlighted about spaced repetition?") into a structured search against the user's private Glasp database via its API, then returning the most relevant passages as context for the AI's response.
2. Multi-Source Context Retrieval: The connector can pull exact, verbatim passages from a wide variety of content sources saved in Glasp. This includes text from online articles, PDF documents, YouTube video captions, and Kindle eBook highlights. The technology works by accessing Glasp's unified data layer, which normalizes content from these disparate sources into a searchable format, allowing the AI to cite specific saved text with precision.
3. Secure, Read-Only OAuth Integration: Authentication and data access are managed via a secure OAuth 2.0 flow. How it works: Users authorize the MCP connector once through Glasp's OAuth endpoint, granting read-only access. A scoped access token is issued; notably, this token is stored only in hashed form by Glasp for security. The architecture ensures every API request is strictly scoped to the authenticating user's private data, with no ability to write, edit, delete, or access another user's information.

Problems Solved

1. Pain Point: The "knowledge silo" problem, where valuable insights from past reading are buried and inaccessible at the moment of need during research, writing, or learning. It addresses the inefficiency of manually searching through hundreds of saved articles and notes.
2. Target Audience: The primary user personas are Researchers, Students, Content Creators, Lifelong Learners, and Knowledge Workers (such as analysts, consultants, and developers) who actively curate digital reading and need to synthesize information from their personal library efficiently.
3. Use Cases: A researcher asking an AI to "summarize my recent highlights on quantum computing trends" for a literature review; a writer querying "find the quote I saved about narrative structure" to incorporate into an article; a student preparing for an exam by asking "show me all my highlights from the textbook chapter on macroeconomics."

Unique Advantages

1. Differentiation: Unlike generic web search plugins or manual copy-pasting, the Glasp MCP Connector provides deeply personalized, context-aware search limited strictly to the user's own vetted and saved content. It differs from other MCP servers by focusing exclusively on bridging a dedicated PKM service to AI, rather than offering generic tooling.
2. Key Innovation: Its implementation as a dedicated, privacy-first MCP server for a specific PKM platform. The integration's core innovation is its strict, architecturally enforced read-only permission model and the use of token hashing, which prioritizes user data security while enabling powerful recall. It turns a personal highlight library into a dynamic context provider for large language models (LLMs).

Frequently Asked Questions (FAQ)

1. Is the Glasp MCP Connector safe for my private highlights and data? Yes, the connector is built with a privacy-first architecture. It uses OAuth for secure login, operates in a strict read-only mode (cannot modify or delete anything), scopes all data access to your account only, and stores access tokens in hashed form for enhanced security.
2. What AI assistants are compatible with the Glasp MCP server? The Glasp MCP Connector is compatible with any AI platform that supports the Model Context Protocol (MCP), including Claude Desktop, ChatGPT with MCP-enabled clients, and applications built on the OpenAI API using MCP tooling.
3. Can I use the Glasp connector to search through highlights from my Kindle books? Yes, if you have used the Glasp browser extension or other methods to import your Kindle highlights into your Glasp account, the MCP connector can search and retrieve those specific passages through natural language queries inside your AI assistant.
4. How do I revoke access if I no longer want the AI to have access to my Glasp data? You can revoke access at any time from your Glasp account settings. This will immediately invalidate the connector's access token, severing the link between the MCP server and your data without affecting your saved content.
5. Does the Glasp MCP Connector require a paid subscription? The connector requires an active Glasp account. You should check Glasp's current pricing page to confirm if the MCP server feature is available on all account tiers (Free, Pro, etc.).