Routine
MCP server to interact with Routine: calendars, tasks, notes, etc.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Routine Model Context Protocol (MCP) Server
This is the Routine Model Context Protocol (MCP) server.
Usage
- Run the Routine application for the MCP server to work.
- Run this MCP server with
npx routine-mcp-serveror configure it in your favorite MCP client.
Claude Desktop
For Claude Desktop, refer to https://modelcontextprotocol.io/quickstart/user
In particular, your file claude_desktop_config.json should look something like that:
{
"mcpServers": {
"routine": {
"command": "npx",
"args": ["routine-mcp-server"]
}
}
}
Development
# Install dependencies
yarn
# Build the project
yarn build
Then install the MCP server:
- Command: full path to
nodeexecutable - Arguments: full path to
./dist/index.js
Claude Desktop
For Claude Desktop, refer to https://modelcontextprotocol.io/quickstart/user
In particular, your file claude_desktop_config.json should look something like that:
{
"mcpServers": {
"routine": {
"command": "/absolute/path/to/bin/node",
"args": ["/absolute/path/to/mcp-server/dist/index.js"]
}
}
}
Running the MCP Server (development)
# Start the server
yarn start
The server communicates via stdin/stdout, following the MCP protocol. You can interact with it by sending JSON requests to its stdin and reading responses from stdout.
Frequently asked questions
What is Routine?
MCP server to interact with Routine: calendars, tasks, notes, etc.
How do I install Routine?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Routine open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains Routine?
It is published by routineco. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.