Semantic PostgreSQL MCP Server

What is Semantic PostgreSQL MCP Server?

The Semantic PostgreSQL MCP Server is a Model Context Protocol (MCP) server that enables AI assistants, such as Claude, to perform semantic searches on PostgreSQL databases, enhancing their ability to understand and interact with data.

How to use Semantic PostgreSQL MCP Server?

To use the server, set up PostgreSQL with the pgvector extension, clone the repository, install dependencies, configure environment variables, and start the server. Then, integrate it with Claude Desktop for seamless interaction.

Key features of Semantic PostgreSQL MCP Server?

• Vector-based semantic search using OpenAI's embeddings.
• Metadata-driven approach that stores rich descriptions of database schema.
• No need for schema modifications; existing tables remain unchanged.
• Simple integration with Claude Desktop for easy configuration.

Use cases of Semantic PostgreSQL MCP Server?

1. Executing natural language queries to retrieve data from databases.
2. Performing hybrid searches that combine keyword matching with semantic understanding.
3. Providing context-aware responses based on comprehensive metadata about the database schema.

FAQ from Semantic PostgreSQL MCP Server?

• What is MCP?

Model Context Protocol (MCP) is an open standard that connects AI assistants to external systems, allowing them to interact with databases and other tools.

• What are the prerequisites for using this server?

You need PostgreSQL 13+ with pgvector, Node.js 18+, an OpenAI API key, and Claude Desktop or any MCP-compatible client.

• Can I use this server with any AI assistant?

Yes, as long as the assistant is MCP-compatible, it can utilize the server's capabilities.