MCP Vector Sync

Enables containerized deployment of the service, with support for both standalone Docker and Docker Compose configurations.

Integrates with GitHub for version control and automated deployment through Railway, detecting repository changes for continuous deployment.

Generates vector embeddings using OpenAI's embedding models to create searchable vectors from project data that are stored in Supabase.

Provides deployment configuration for hosting the service on Railway's platform, with built-in monitoring through health check endpoints.

Synchronizes vector embeddings between Supabase tables, monitoring changes in the 'proyectos' table and updating the 'proyecto_vector' table with vector embeddings for efficient multi-tenant search capabilities.

1. Click on "Install Server".

2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.

3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Vector Sync force sync for tenant acme-corp"

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.