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.

Why this server?

A Model Context Protocol server that allows Large Language Models to interact with Astra DB databases, providing tools for managing collections and records through natural language commands. AstraDB is built on Cassandra, not Postgres, but it provides vector search capabilities.

Why this server?

This MCP server allows LLMs perform database queries and operations on Postgres databases via PostgREST, allowing LLMs to interact with data stored using pgvector.

Why this server?

A server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.

Why this server?

A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.