# Orq.ai

> Orq.ai — ai-orq-orq. Use this tool when you need to build and monitor large language model (LLM) applications, and manage AI workflows from prompts to evaluations and tracing. Orq.ai solves problems related to LLM app development, deployment, and monitoring, providing a comprehensive interface for AI gateway, agents, and model performance tracking. It accepts inputs such as prompts and model configurations, and outputs evaluation results, traces, and performance metrics.

Canonical page: https://skillsregistry.net/skills/ai-orq-orq  
JSON: https://api.skillsregistry.net/v1/skills/ai-orq-orq

## Description

Build and monitor LLM apps on Orq.ai: AI gateway, agents, prompts, evals, traces.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.orq%2Forq)

## Use it

MCP endpoint published by the skill: `https://my.orq.ai/v2/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-orq-orq"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-orq-orq` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-orq-orq/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt