PostgreSQL Model Context Protocol (PG-MCP) Server
by tanster1234
PG-MCP is a server implementation of the Model Context Protocol for PostgreSQL databases, providing a comprehensive API for AI agents to interact with databases. It builds upon the reference implementation with enhancements like multi-database support and rich catalog information.
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What is PostgreSQL Model Context Protocol (PG-MCP) Server?
PG-MCP is a server implementation of the Model Context Protocol (MCP) designed to enable AI agents to interact with PostgreSQL databases. It provides a resource-oriented API for discovering, connecting to, querying, and understanding PostgreSQL databases.
How to use PostgreSQL Model Context Protocol (PG-MCP) Server?
To use PG-MCP, first install the server using Docker or manual installation steps. Then, use the provided tools like connect to register a database connection and obtain a connection ID. Subsequently, use tools like pg_query to execute SQL queries or pg_explain to analyze query execution plans, referencing the connection ID. AI agents can leverage the API endpoints to explore schema resources and access data.
Key features of PostgreSQL Model Context Protocol (PG-MCP) Server
Full Server Implementation with SSE transport
Multi-database Support
Rich Catalog Information (table/column descriptions)
Extension Context (PostGIS, pgvector)
Query Explanation Tool
Robust Connection Management with Connection Pooling
Use cases of PostgreSQL Model Context Protocol (PG-MCP) Server
Enabling AI agents to query and analyze PostgreSQL databases
Building natural language interfaces to PostgreSQL
Automating database schema exploration and understanding
Providing contextual information about PostgreSQL extensions to AI agents
FAQ from PostgreSQL Model Context Protocol (PG-MCP) Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a protocol for providing context about data models to AI agents.
How do I connect to multiple databases?
How do I connect to multiple databases?
PG-MCP supports connecting to multiple PostgreSQL databases simultaneously through the connection management tools.
What PostgreSQL extensions are supported?
What PostgreSQL extensions are supported?
PG-MCP includes built-in contextual information for PostGIS and pgvector. Additional extensions can be added via YAML config files.
How do I analyze query execution plans?
How do I analyze query execution plans?
Use the pg_explain tool with a connection ID and a SQL query to get the execution plan in JSON format.
Is the server secure?
Is the server secure?
The server runs in read-only mode by default, connection details are not exposed in resource URLs, and database credentials are only sent once during the initial connection.