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.
Run the underlying MCP server directly — without Agent-CoreX routing.
npx -y kanboard-mcpAgent-CoreX intelligently routes which tools from bivex/kanboard-mcp your AI agent actually needs per request — reducing token usage and cost.
agent-corex.json
{
"mcpServers": {
"kanboard-mcp": {
"command": "npx",
"args": [
"-y",
"kanboard-mcp"
]
}
}
}Connect in 2 minutes. Only pay for the tools your agent actually uses.
A collection of reference implementations for the Model Context Protocol (MCP), showcasing its features and SDK usage.
A CLI inspector for the Model Context Protocol that allows running MCP servers and interacting with various tools and resources.
A project related to the Model Context Protocol, potentially involving data processing or context management.
Recommended: intelligent tool routing, lower costs
uvx agent-corex mcp add kanboard-mcpAgent-CoreX selects only the tools your agent needs, cutting token usage by up to 60%.
Use bivex/kanboard-mcp directly without routing
npx -y kanboard-mcpNew to Agent-CoreX? View setup guide →