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Owl MCP server

Owl MCP server

Local
github.com/holonomsScience & Education1Updated 78w ago
Repository

About Owl MCP server

Owl MCP server connects Owl, a spaced-repetition application for retaining information and generating ideas, with MCP clients. It lets language models perform actions such as creating decks and cards on a user's behalf.

Key features

  1. 01Connect Owl with MCP clients
  2. 02Create decks through a language model
  3. 03Create cards through a language model

Use cases

  1. 01Create study decks from an MCP client
  2. 02Add cards to Owl with language-model assistance

MCP support

Provides MCP clients such as Claude Desktop and Cursor access to Owl actions. An Owl API key is required.

#owl-mcp#mcp-server#spaced-repetition

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Owl MCP server

Basic info

What is Owl?

Owl is a spaced repetition application which helps people retain more information and generate more ideas. You can find out more and sign up at owl.cards.

What is Model Context Protocol?

Model Context Protocol (MCP) is an open protocol that allows you to provide custom tools to agentic LLMs (Large Language Models). Find out more at modelcontextprotocol.io.

What can I do with this MCP server?

By using this MCP server, you can integrate Owl with MCP clients like Claude Desktop, Cursor, etc. You can then have your language model act on your behalf, to do things like create decks and cards for you, etc. Here's an example:

Watch the video

Getting started

Important

This MCP server needs to be configured with an API key. Get one from Owl first.

Building Owl MCP

  1. Check out the repository and install dependencies:

    git clone https://github.com/holonoms/owl-mcp.git
cd owl-mcp
pnpm install # You can also use npm or yarn

  2. Set the project to auto-build on changes:

    pnpm run dev
Configure your MCP client
Claude Desktop

Update claude desktop configuration:

{
  "mcpServers": {
    "owl": {
      "command": "/path/to/node",
      "args": ["</path/to/owl-mcp>/build/index.js"],
      "env": {
        "OWL_API_KEY": "your-api-key-here",
        "OWL_API_URL": "https://api.owl.cards"
      },
      "description": "Study with Owl using Claude"
    }
  }
}
Cursor
  • Open Cursor Settings
    • Navigate to Cursor Settings > MCP
    • Click the "+ Add new global MCP server" button
  • Add the Owl MCP server to the list
{
  "mcpServers": {
    "owl": {
      "command": "/path/to/node",
      "args": ["</path/to/owl-mcp>/build/index.js"],
      "env": {
        "OWL_API_KEY": "your-api-key-here",
        "OWL_API_URL": "https://api.owl.cards"
      },
      "description": "Study with Owl using Claude"
    }
  }
}
Other MCP clients

Other clients typically follow a similar setup and configuration structure. If you find a tool that requires different instructions, please let us know at [email protected]!

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.