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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
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.
FAQ
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