# Orq.ai [Health: Active]

**Category:** 💻 Developer Tools  
**Repository:** https://orq.ai  
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**Installs:** 0  
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**Directory Page:** https://allmcps.com/mcp/orq-ai

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

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What the Orq.ai MCP server does

The Orq.ai MCP server is listed as a way to build and monitor LLM applications on Orq.ai. The available description identifies five areas of functionality: an AI gateway, agents, prompts, evaluations, and traces.

This makes the server relevant to workflows that need to work with an LLM application platform rather than a single model endpoint. The material does not explain whether each area is exposed as a separate MCP tool, resource, or prompt, so the exact interface should be confirmed before implementation.

## How it works

The listed operating model places Orq.ai at the center of the workflow. Applications can be built around the platform’s AI gateway, agent features, and prompt capabilities, then monitored through evaluations and traces. The source material does not describe request formats, returned data, authentication, transport, or how an MCP client discovers the available capabilities.

The Orq.ai MCP server may therefore fit an agent that needs to interact with an existing Orq.ai-based LLM application, but the available information is not sufficient to document a concrete call sequence or integration pattern.

## Tools and capabilities

The published description names these capabilities:

- AI gateway access
- Agent-related functionality
- Prompt-related functionality
- LLM application evaluations
- Application traces and monitoring

These labels describe the product areas associated with the Orq.ai MCP server, not confirmed tool names or schemas. No parameter lists, return formats, permissions model, or examples are provided.

## Limitations and notes

No README is available for this listing. As a result, there are no grounded instructions for installing the Orq.ai MCP server, configuring an MCP client, setting environment variables, selecting a transport, or authenticating with Orq.ai. Client compatibility is also unspecified.

The description supports identifying the server’s general purpose and capability areas, but not validating operational details. Developers should check Orq.ai’s current documentation or repository information for setup commands, required credentials, supported clients, tool definitions, rate limits, and deployment requirements before relying on the integration.

The Orq.ai MCP server should be evaluated against the specific Orq.ai features an agent needs. The available material confirms broad coverage of gateway, agent, prompt, evaluation, and trace workflows, but it does not establish that every underlying Orq.ai operation is available through MCP.

_Full upstream README: https://allmcps.com/mcp/orq-ai/readme_