Integrates with Google Cloud Vertex AI for accessing AI models (DeepSeek, Kimi, MiniMax) in a multi-candidate agentic coding pipeline with planning, code generation, and quality gating.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Petamind MCPgenerate a React component for a user profile card with dark mode support"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
petamind-mcp
This repository has been republished without the legacy Titan factory source.
Status
The previously bundled synthetic UI dataset factory and related internal pipeline code are intentionally not included here.
This public repository is being reset to a minimal placeholder while the MCP/tooling split is redesigned.
Notes
Prior public clones may still exist outside GitHub.
This repository no longer publishes the old factory code on the current public branch.
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to authenticate as an admin.