Code Assistants Available on Orq.ai

Connect your Orq.ai workspace to 8 AI code assistants through MCP. Query traces, run experiments, debug prompts, and analyze production LLM workloads using natural language — directly inside Cursor, Claude Code, Codex, and more.

Code Assistants Available on Orq.ai

Connect your Orq.ai workspace to 8 AI code assistants through MCP. Query traces, run experiments, debug prompts, and analyze production LLM workloads using natural language — directly inside Cursor, Claude Code, Codex, and more.

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Code assistants

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Code assistants

Droid

Factory's autonomous coding agent for production work

Integration:

MCP

What you can do :

Agent-driven evals · Production trace analysis

Warp

AI-powered terminal with agentic workflows

Integration:

MCP

What you can do :

CLI-native trace queries · Pipeline experiments

Codex

OpenAI's agentic coding assistant for autonomous tasks

Integration:

MCP

What you can do :

Trace inspection · Experiment runs · Synthetic data gen

VS Code

Microsoft's IDE with MCP support via extensions

Integration:

MCP

What you can do :

Inspect deployments · Query model garden · View traces

Cursor

AI-native IDE built on VS Code with deep agent capabilities

Integration:

MCP

Skill

What you can do :

Inline trace queries · Eval-driven dev · Prompt versioning

Claude Cowork

Anthropic's collaborative AI workspace for team workflows

Integration:

MCP

What you can do :

Share traces · Team experiments · Workspace analytics

Claude Desktop

Anthropic's desktop chat app with native MCP integration

Integration:

MCP

What you can do :

Query traces · Run experiments · Generate evals

Claude Code

Anthropic's CLI-based agentic coding assistant for terminal workflows

Integration:

MCP

Skill

What you can do :

Query traces · Run experiments · Generate evals

What is Orq MCP?

What is Orq MCP?

Model Context Protocol (MCP) is an open standard for connecting AI applications to external data sources and tools. Orq.ai exposes its workspace — traces, experiments, deployments, model garden, evaluators, and datasets — as MCP tools.

The Orq Model Context Protocol (MCP) server provides AI code assistants with direct access to your Orq.ai workspace. With 30 specialized tools, you can manage experiments, create datasets, configure evaluators, and analyze traces without leaving your IDE.

Once your code assistant is connected, you can query your Orq.ai workspace in plain English: "Show me yesterday's failed agent runs," "Compare prompt v3 against v5 on the customer support eval," "Generate 50 synthetic test cases for the contract analysis flow."

No SDK to learn, no separate dashboard to alt-tab into. The AI tool already knows your codebase; Orq MCP gives it knowledge of your AI ops.

Use Cases

Use Cases

FAQ

Frequently asked questions

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Connect your Orq.ai workspace to your AI coding tool in 5 minutes

Connect your Orq.ai workspace to your AI coding tool in 5 minutes

Connect your Orq.ai workspace to your AI coding tool in 5 minutes

Connect your Orq.ai workspace to your AI coding tool in 5 minutes