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Kanvas MCP Server

@bakaphp

Repository

Basic information

Category

Other

Transports

stdio

Author

bakaphp

About Kanvas MCP Server

Kanvas MCP Server

#kanvas#mcp#server

Kanvas MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "kanvas_mcp": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "kanvas/mcp:dev",
        "-f",
        "Dockerfile",
        "."
      ]
    }
  }
}

Kanvas MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Kanvas MCP Server?

An MCP (Model Context Protocol) server that integrates with Kanvas to manage events and reminders. It is designed for users who need to create, view, and list events and reminders via a Docker container.

How to use Kanvas MCP Server?

Build the Docker image with docker build -t kanvas/mcp:dev -f Dockerfile . and run it with docker run -p 8888:8888 kanvas/mcp:dev. The server executes python server.py on startup.

Key features of Kanvas MCP Server

  • Create events on Kanvas.
  • See (view) existing events.
  • Set reminders.
  • List reminders.
  • Runs as a Docker container on port 8888.

Use cases of Kanvas MCP Server

  • Automating event creation and reminder management through MCP.
  • Integrating Kanvas event/reminder functionality into AI workflows.
  • Containerized deployment for consistent server environments.

Frequently asked questions

1

What does Kanvas MCP Server do?

It enables creating events, viewing events, setting reminders, and listing reminders via an MCP interface.

2

How do I build and run the server?

Build the Docker image using `docker build -t kanvas/mcp:dev -f Dockerfile .` and run it with `docker run -p 8888:8888 kanvas/mcp:dev`. No additional configuration is documented.

3

What port does the server use?

It uses port 8888 as exposed in the Docker run command.

4

What dependencies or runtime are required?

— (The README does not specify runtime dependencies beyond Docker and Python.)

5

Where does data live or how is authentication handled?

— (The README does not mention data storage or authentication.)

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