
Aurekai Mcp
Wire Claude Code or Cursor to Aurekai akai doctor, manifests, artifacts, and live runtime checks while you ship agent features.
Overview
Aurekai MCP is a MCP server for the Operate phase that exposes akai doctor, manifests, artifacts, feature queries, and runtime inspection to your agent.
What is this MCP server?
- akai doctor diagnostics exposed as MCP tools for agent-driven health checks
- Query manifests and artifacts without leaving the coding agent
- Feature-query and runtime inspection for Aurekai-based workflows
- stdio transport via @aurekai/mcp npm package (v0.8.0-alpha.3)
- GitHub source: aurekai/aurekai-mcp for self-hosted stdio wiring
- Server version 0.8.0-alpha.3
- Single npm package @aurekai/mcp with stdio transport
- Repository: github.com/aurekai/aurekai-mcp
What problem does it solve?
You cannot easily inspect Aurekai manifests, artifacts, or runtime health from inside Claude Code without custom scripts or leaving the agent.
Who is it for?
Solo builders shipping Aurekai or akai-based agents who want in-editor diagnostics and artifact visibility.
Skip if: Teams not using Aurekai who only need generic log tailing or unrelated cloud monitoring.
What do I get? / Deliverables
Your agent can run doctor checks, query features, and inspect runtime state through stdio MCP tools aligned with your Aurekai workflow.
- MCP tools for doctor, manifests, artifacts, and feature queries
- Agent-callable runtime inspection without custom glue code
Recommended MCP Servers
Journey fit
Runtime inspection and doctor-style diagnostics belong on the operate shelf where builders keep agent stacks healthy in production. Monitoring is the canonical home for artifact queries, feature lookups, and live inspection rather than one-off build tasks.
How it compares
MCP integration for the Aurekai runtime, not a standalone agent skill or generic observability SaaS.
Common Questions / FAQ
Who is Aurekai MCP for?
Indie developers and small teams building on Aurekai who want MCP tools for doctor, manifests, artifacts, and runtime inspection inside their coding agent.
When should I use Aurekai MCP?
Use it when you are debugging Aurekai features, validating manifests or artifacts, or inspecting runtime behavior during build and operate iterations.
How do I add Aurekai MCP to my agent?
Register the stdio server using the @aurekai/mcp npm package in your agent’s MCP config, pointing at the published version and restarting the client.