$ loading_
Manage AgentKit control-plane tasks through its CLI and MCP server.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "cloud.agkit/agkit" MCP server from askskill: Run: claude mcp add 'cloud-agkit-agkit' -- npx -y @storybloq/agkit
Developers can integrate agkit as a CLI or MCP service into their workflow to access AgentKit management-plane capabilities from a single entry point. It fits scenarios where management actions need to be triggered locally or through an AI assistant.
When a team wants an AI assistant to call AgentKit management interfaces, agkit can serve as the MCP server layer. This brings management-plane operations into a natural-language workflow.
No documentation provided
Check the source repo for usage and examples.
It is a CLI and MCP server for the AgentKit management plane. In other words, it can be used from the command line or exposed as an MCP tool for AI systems.
Based on the description, it is best suited for developers and DevOps users who need to access or execute AgentKit management-plane operations. For more positioning details, see the source repository.
The provided material does not include installation steps, runtime requirements, or key information. Please see the source repository for prerequisites.
Register, discover, and delegate tasks across agents via MCP.
Securely manage API credentials and proxy requests without exposing secrets to agents.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Connect AI agents to multiple APIs through one unified MCP gateway.
Run a sample MCP server and test read-only tool calling workflows.
Run SQL, APIs, and sandboxed Python for multi-step research and data tasks.