Okahu
Manage and inspect genAI trace data from your coding agent through Okahu’s cloud MCP server when debugging or operating LLM-powered features.
Overview
co.okahu.mcp-registry/okahu is a MCP server for the Operate phase that helps you manage genAI trace data via a cloud streamable-http endpoint.
What is this MCP server?
- Cloud-hosted Okahu MCP at mcp.okahu.co for genAI trace data management
- Streamable-http remote only (version 0.1.1 in registry manifest)
- No local package wiring in the published server.json—connect via remote URL
- Fits builders operating agent features who need trace visibility without a custom observability stack
- Pairs with Ship-phase regression checks when comparing trace sets across releases
- Published server version 0.1.1
- Single cloud remote endpoint: https://mcp.okahu.co/mcp
What problem does it solve?
Builders running LLM features in production struggle to inspect and manage trace data without leaving the agent IDE or stitching together bespoke logging tools.
Who is it for?
Solo builders operating agent or SaaS features who want trace management callable from Claude Code, Cursor, or Codex.
Skip if: Projects with no generative AI surface, teams that only need classic APM without LLM traces, or builders who require fully offline-only MCP with no cloud remote.
What do I get? / Deliverables
After you add the Okahu remote MCP URL, your agent can work with genAI traces as structured tools while you debug releases and monitor live behavior.
- Agent-callable access to Okahu genAI trace management tools
- Faster debug loops tying chat-based fixes to trace inspection
Recommended MCP Servers
Journey fit
Canonical shelf is Operate because trace management is what you rely on after users hit real traffic, though the same server supports pre-release trace review during Ship. monitoring matches Okahu’s focus on genAI trace data lifecycle—querying, organizing, and acting on production and staging traces—not on building UI or writing ads.
How it compares
GenAI trace observability MCP, not a Google Ads or marketplace integration.
Common Questions / FAQ
Who is co.okahu.mcp-registry/okahu for?
It is for indie builders and small teams shipping genAI-powered products who want trace data management exposed to their MCP agent instead of only a web console.
When should I use co.okahu.mcp-registry/okahu?
Use it when you are testing LLM flows before release or monitoring production agent behavior and need to query and manage Okahu trace data from your coding agent.
How do I add co.okahu.mcp-registry/okahu to my agent?
Register the streamable-http MCP remote https://mcp.okahu.co/mcp in your client’s MCP server list per Okahu’s connection docs for your agent platform.