Overview

Bookmark Context saves web pages into named collections, indexes their text content, and makes those collections searchable from an AI client over MCP.

The problem it solves

An AI assistant can’t see the pages you’ve bookmarked. Bookmark Context closes that gap: you save a page from the browser, the daemon extracts and embeds its content, and your assistant retrieves the relevant passages on demand.

The pieces

Component	Command	Role
Daemon	bookmark-context serve	REST API on 127.0.0.1:7331. Owns the database and the indexing pipeline.
Chrome extension	—	Side-panel UI. Creates collections, saves the current tab, shows index status.
MCP server	bookmark-context mcp	Spawned by your editor. Reads the same stores directly and answers tool calls.

The daemon and the MCP server share two on-disk stores — a SQLite database and a Chroma vector store — but never talk to each other. The extension reaches the daemon over authenticated HTTP; the MCP server bypasses HTTP entirely.

The 30-second picture

1. Create a collection in the side panel.
2. Open a page, click Save to collection. The daemon fetches the page, scans it for prompt-injection, splits it into chunks, embeds them, and stores the vectors.
3. In your AI client, ask a question. It calls list_collections to find the collection, then search_collection or ask_collection to pull the passages that answer you.

Next

• Requirements
• Install
• First run