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MCP Server Postgres
PG-MCP is a model context protocol server designed for PostgreSQL databases. It provides APIs for AI agents to connect to, query, and understand databases, and supports multiple database connections, rich metadata extraction, and query analysis functions.
rating : 2 points
downloads : 32
What is PG-MCP?
PG-MCP is a server that supports AI agents. It is based on the Model Context Protocol (MCP) and allows users to discover, connect to, and query PostgreSQL databases through simple APIs. It provides powerful features to enhance AI agents' understanding of databases.How to use PG-MCP?
You can start using it by connecting to your PostgreSQL database, and then use the provided tools to execute queries, analyze execution plans, etc.Applicable scenarios
PG-MCP is particularly suitable for AI systems that need to quickly integrate database query functions, such as natural language processing assistants, data analysis tools, etc.Main features
Connection managementSupports registering and disconnecting database connections, and performs efficient connection pool management.
Query toolsProvides pg_query for executing SQL queries and pg_explain for analyzing query execution plans.
Schema discoveryLists schemas and their descriptions, tables and their row counts, detailed column information, etc.
Data accessSupports paginated retrieval of table sample data and estimation of row counts.
Extension contextProvides rich information about extensions such as PostGIS and pgvector.
Advantages and limitations
Advantages
Supports multiple database connections
Provides detailed database metadata
Enhances the capabilities of AI agents
Limitations
Requires configuration of the database connection string
Some advanced features may depend on specific extensions
How to use
Installation and startup
Download and run the server according to the installation guide.
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Connect to the database
Use the connect tool to register the database connection.
Execute a query
Use pg_query to execute SQL queries.
Usage examples
Query the top five customersDemonstrate how to use pg_query to obtain detailed information about the top five customers.
Analyze query performanceShow how to use pg_explain to optimize queries.
Frequently Asked Questions
How to ensure database security?
Does it support the PostGIS extension?
Related resources
Official documentation
Understand the basics of the Model Context Protocol.
GitHub repository
View the source code and contribution guidelines.
Example tutorial video
Watch how to quickly get started with PG-MCP.
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