SleevyModel Context Protocol
Connect an AI agent to save, find, and organize your Sleevy reading queue.
Sleevy supports the Model Context Protocol (MCP). Connect it to an AI agent to save links, find saved items, organize folders, and manage your reading queue without leaving your workflow.
Install Sleevy
Run this command in a terminal:
npx add-mcp https://api.sleevy.app/mcp --name sleevyThe installer detects supported MCP clients and lets you choose where to add Sleevy. It uses the Streamable HTTP endpoint at https://api.sleevy.app/mcp.
Sign in and permissions
The first time your agent connects, Sleevy opens an OAuth sign-in and consent flow. Sign in, then approve only the permissions your agent needs. You do not need to add a personal API key to the MCP configuration.
Keep confirmations enabled
Removing a saved item or folder is permanent. Keep your agent's MCP tool-confirmation prompts enabled for destructive actions.
Available tools
| Capability | Tools |
|---|---|
| Save and find links | save_link, list_saved_items |
| Organize saved items | set_saved_item_read_state, set_saved_item_folder |
| Manage folders | list_folders, add_folder |
| Remove content | delete_saved_item, remove_folder |
The tools available to an agent are determined by the permissions granted during OAuth consent. Reconnect Sleevy to review or change those permissions.
Connect manually
If your MCP client has a manual connection screen, use this server URL:
https://api.sleevy.app/mcpChoose the client’s HTTP or Streamable HTTP transport option, then complete the OAuth sign-in flow when prompted.