Community listing · 2026-10-06
Not connection-tested or security-audited.
A Model Context Protocol (MCP) server written in Go that empowers AI agents and Large Language Models (LLMs) to seamlessly interact with Kanboard. It transforms natural language commands into Kanboard API calls, enabling intelligent automation of project, task, and user management, streamlining workflows, and enhancing productivity.
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A bridge that exposes tools or context to a compatible AI application through the Model Context Protocol.
Choose your AI client first. Check the publisher’s supported transport, authentication and installation instructions; local and hosted servers have different setup steps.
After the supported setup, ask your client to list the available tools. Try one harmless read on a small, permitted test resource.
Confirm which account and workspace the server can access. Review tool inputs and results before enabling writes. A GitHub repository link is not an MCP endpoint.
Matched by category or role. These suggestions are not tested equivalents.
Make opportunities traceable to customer evidence.
Connect completed work to customer outcomes.
Create a decision-focused experiment.