Why this server?

This server enables performing PostgreSQL database operations (create, read, update, delete) on User and Post entities through MCP tools. While it doesn't explicitly mention pgvector, the ability to perform operations on PostgreSQL databases makes it a relevant starting point as you can likely incorporate vector operations.

Why this server?

This provides a template project for building custom MCP servers that enable direct access to PostgreSQL databases, allowing SQL query execution and schema information retrieval. Again, you can use this as a starting point to add pgvector.

Why this server?

Enables Cursor and Windsurf to safely interact with Supabase databases. Supabase uses PostgreSQL and supports extensions, including pgvector. This allows for integration with vector search capabilities.

Why this server?

A multi-tenant service that automatically monitors Supabase database changes, generates OpenAI embeddings, and maintains synchronized vector search capabilities for each tenant's projects. This directly implements vector search in a Supabase environment, which uses PostgreSQL.

Why this server?

Enables AI agents to interact with PostgreSQL databases, providing database schema exploration, table structure inspection, and SQL query execution capabilities, a fundamental requirement for integrating pgvector.

Why this server?

While this server focuses on MySQL, it demonstrates the core functionality of allowing an LLM to interact with a database. It can serve as a template to create similar functionality for PostgreSQL and pgvector.