Sleevy
A personal bookmark manager with a read-later API and MCP server for AI agents
The story
Overview
Sleevy is a personal bookmark manager designed for capturing and organizing links across multiple devices and platforms. It functions as both a standalone app and an extensible platform through its REST API and MCP server integration. Users can save links with a single tap from iOS, Chrome, Raycast, or any tool that can make HTTP requests, with all saved items syncing instantly across devices.
The product targets users who need a scriptable, automation-friendly bookmark solution. It serves individual power users, developers building automations, and AI agents that need to save and retrieve links as part of their workflows. The MCP server implementation allows language models and AI agents to interact with the bookmark queue directly, while the REST API enables custom scripts, CLI tools, and third-party integrations.
Sleevy works through a combination of native integrations (iOS app, Chrome extension, Raycast extension) and programmatic access (API with personal access tokens, MCP server). All saved links are stored in a synced queue that updates in real-time across devices. Users can organize items into folders, tag them, and access their full library through the web companion app.
Key features
Multi-Device Sync
Save links on any device and access them instantly across iPhone, Chrome, Raycast, web, and scripts with real-time synchronization.
Native Integrations
Built-in support for iOS share sheet, Chrome extension, Raycast command, and web companion for seamless link capture.
REST API with Tokens
Scriptable API using personal access tokens with scoped permissions, supporting any tool that can make HTTP requests.
MCP Server for AI Agents
Run an MCP server that lets AI agents save, find, and organize bookmarks directly within conversation flows.
Webhooks and Events
Receive webhooks for archive, tag, and read events to trigger downstream automations and integrations.
Folder Organization
Create and manage folders to organize your saved links and keep your reading list structured.
Use cases
- 1
AI Agent Integration
Connect AI agents via MCP to let them save relevant links and manage your reading queue as part of their workflows.
- 2
Automation Workflows
Use the API and webhooks to build custom automations that capture links from scripts, CLI tools, and third-party services.
- 3
Cross-Device Reading
Save links on the go from your phone or browser and read them later on any synced device without friction.
- 4
Developer Tooling
Integrate Sleevy into development workflows via Raycast, scripts, or custom tools to capture references and documentation.
FAQ
What platforms does Sleevy support?
Sleevy is available on iOS, Chrome, Raycast, and the web. You can also integrate it via REST API or MCP server for scripts and AI agents.
How does the API work?
The Sleevy API uses personal access tokens for authentication and accepts simple JSON over HTTPS. No SDK is required; any tool that can make HTTP requests can save to your queue.
Can AI agents use Sleevy?
Yes. Sleevy runs an MCP server that allows AI agents to save, find, and organize bookmarks directly within conversations using the Model Context Protocol.
Is my data synced across devices?
Yes. Your bookmark queue syncs instantly across all devices, so saved items are always current wherever you open Sleevy.
What are webhooks used for?
Webhooks notify you of archive, tag, and read events, allowing you to trigger automations or integrations based on your bookmark activity.
Tech stack & tags
Feedback & Discussion
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