What is Okahu and what does this MCP server do?

Okahu is a cloud-hosted platform for managing genAI trace data. This MCP server connects your AI tools to Okahu, letting you query, filter, and analyze traces of LLM calls, embeddings, and other AI operations.

How do I authenticate with the Okahu MCP server?

The server is hosted at https://mcp.okahu.co/mcp and uses HTTP transport. Check the Okahu documentation for required API keys or authentication tokens to pass via environment variables when connecting.

Can I use this server to debug slow or failed AI requests?

Yes. You can query traces by latency, error status, model, and other attributes to identify performance bottlenecks and failures in your genAI pipeline.

Is there a cost to use the Okahu MCP server?

Pricing depends on your Okahu account plan. Visit okahu.co or contact their sales team for details on trace storage limits and query quotas.

What trace data can I access through this server?

The server provides access to genAI trace data stored in Okahu, including LLM calls, latencies, tokens, and custom span attributes. Refer to Okahu's documentation for the complete trace schema and available query filters.

MCP ServerHTTPOfficialv0.1.1

MCP Registry Okahu MCP Server

Manage and query genAI trace data from a cloud-hosted service. Built for developers integrating observability and debugging into AI applications.

co.okahu.mcp-registry/okahu

Open in Agent Studio Scan security

Hosted URL

https://mcp.okahu.co/mcp

Transport

HTTP

Auth

No auth required

What the MCP Registry Okahu MCP server does

How models use it and what it is built for.

Manage and query genAI trace data from a cloud-hosted service. Built for developers integrating observability and debugging into AI applications.

Connect to MCP Registry Okahu

Hosted endpoint — paste into any MCP client.

https://mcp.okahu.co/mcp

Resources

Where to find authoritative docs and source for MCP Registry Okahu.

Example prompts for MCP Registry Okahu

Paste any of these into Agent Studio after connecting MCP Registry Okahu.

Show me all traces from the last 24 hours for my LLM application
Query traces where the model latency exceeded 5 seconds
Export trace data for a specific conversation session
What does the Okahu trace schema include and how do I filter by span attributes?

MCP Registry Okahu MCP server — FAQ

Common questions about connecting and running MCP Registry Okahu.

What is Okahu and what does this MCP server do?
Okahu is a cloud-hosted platform for managing genAI trace data. This MCP server connects your AI tools to Okahu, letting you query, filter, and analyze traces of LLM calls, embeddings, and other AI operations.
How do I authenticate with the Okahu MCP server?
The server is hosted at https://mcp.okahu.co/mcp and uses HTTP transport. Check the Okahu documentation for required API keys or authentication tokens to pass via environment variables when connecting.
Can I use this server to debug slow or failed AI requests?
Yes. You can query traces by latency, error status, model, and other attributes to identify performance bottlenecks and failures in your genAI pipeline.
Is there a cost to use the Okahu MCP server?
Pricing depends on your Okahu account plan. Visit okahu.co or contact their sales team for details on trace storage limits and query quotas.
What trace data can I access through this server?
The server provides access to genAI trace data stored in Okahu, including LLM calls, latencies, tokens, and custom span attributes. Refer to Okahu's documentation for the complete trace schema and available query filters.

Run MCP Registry Okahu across 60+ AI models, side-by-side

Connect MCP Registry Okahu to Claude, GPT, Gemini, DeepSeek and 60+ AI models in MCP Agent Studio. Compare answers side-by-side, save reusable agent presets, share runs — all in your browser, no install required.

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