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Build, validate, test, and deploy Imperal apps from declarative IR.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "imperal-mcp" yet — see the docs or source repo.
Generate declarative IR for an Imperal app based on this requirement and validate the format: an internal tool with user login, dashboard, and report export. Then provide build, smoke test, and deployment steps.
Usable Imperal IR, validation results, and build, test, and deployment guidance.
Check this Imperal IR for syntax and configuration issues, explain the errors, provide a corrected version, and add a minimal smoke test plan.
A list of errors, corrected IR, and an executable basic test plan.
For an existing Imperal app, design an editor-triggered automation flow: validate IR, build, run smoke tests, and deploy to production. Output the commands or steps in order.
A clear automated release workflow ready for developer and DevOps collaboration.
Provides a human approval inbox for AI agents' key actions.
Execute commands and manage files on remote servers over SSH.
Build MCP servers with embedded reasoning for efficient complex task handling.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Set spend limits and audit trails for AI agent payments safely.
Build high-quality MCP servers that connect LLMs with external APIs safely.