Simple PostgreSQL MCP Server
by NetanelBollag
This is a template project for building MCP servers, designed to be easy to understand and adapt. It allows LLMs to interact with a PostgreSQL database using the Model Context Protocol.
Last updated: N/A
What is Simple PostgreSQL MCP Server?
This is a template for creating a Model Context Protocol (MCP) server that allows Large Language Models (LLMs) to interact with a PostgreSQL database. It provides tools, resources, and prompts for querying and managing the database.
How to use Simple PostgreSQL MCP Server?
To use this server, you need to set up a PostgreSQL database, install the required dependencies using uv, and run the server using the MCP Inspector. You can then configure your AI tool with the server's connection details and use natural language to query the database.
Key features of Simple PostgreSQL MCP Server
Provides tools to execute SQL queries and test database connections.
Offers resources to access database schema information.
Includes prompts for query generation and analytical query building.
Uses Model Context Protocol (MCP) for LLM interaction.
Use cases of Simple PostgreSQL MCP Server
Enabling LLMs to answer questions about data stored in a PostgreSQL database.
Allowing LLMs to generate SQL queries based on natural language input.
Integrating PostgreSQL data into AI-powered applications.
Building custom plugins for AI assistants to interact with databases.
FAQ from Simple PostgreSQL MCP Server
What is MCP?
What is MCP?
Model Context Protocol (MCP) is a standard way for LLMs to interact with external tools and data.
What are Tools in MCP?
What are Tools in MCP?
Tools allow the LLM to execute commands, like running a database query.
What are Resources in MCP?
What are Resources in MCP?
Resources are data you can attach to conversations, like attaching a file to a prompt.
What are Prompts in MCP?
What are Prompts in MCP?
Prompts are templates that generate consistent LLM instructions.
Is this server secure for production?
Is this server secure for production?
This is an experimental project and may be vulnerable to SQL injection attacks. It is not recommended for production use without thorough security review and hardening.