bookmarks-mcp
llms.txt4 starsChanged 7 months agoMITView on GitHub
This project includes automated llms.txt generation for AI accessibility.
In this repository5 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/architect.mdcCursor rule
- llms-full.txtllms.txt
- full-stack-developerSkill
- mcp-server-architectSkill
The file
Files
# bookmarks-mcp > FastMCP 3.4 compliant MCP server providing a unified `bookmarks` portmanteau tool for CRUD operations, organization, sync, and AI-powered helpers. - **Primary Browser:** Firefox (SQLite-based bookmar... This project includes automated llms.txt generation for AI accessibility. ## Docs - [Readme](README.md): FastMCP 3.4 compliant MCP server providing a unified `bookmarks` portmanteau tool for CRUD operatio... - [Mcp Configuration](MCP_CONFIGURATION.md): This guide explains how to configure the Browser Bookmarks MCP server with various MCP clients. - [Changelog](CHANGELOG.md): All notable changes to this project will be documented in this file. - [Assessment](ASSESSMENT.md): **Category**: MCP Server ## Configuration - [Pyproject](pyproject.toml): Python project configuration and dependencies - [Package](web_sota\package.json): Node.js project configuration and dependencies - [Config](.git\config): Application configuration files ## Optional - [Changelog](CHANGELOG.md): Project changelog information
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

