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PgSQL MCP Server

@twn39

🔧 A powerful tool server based on the Model Context Protocol (MCP), enabling interaction with PostgreSQL databases via MCP calls.

概览

What is PgSQL MCP Server?

PgSQL MCP Server is a tool built on the Model Context Protocol (MCP) that enables interaction with PostgreSQL databases via MCP calls. It is designed for developers who need to query, manage, and explore PostgreSQL schemas and data through MCP-enabled clients.

How to use PgSQL MCP Server?

Install with uv tool install pgsql-mcp-server or pip install pgsql-mcp-server. Run using pgsql-mcp-server --dsn "postgresql://user:password@localhost:5432/db", or execute directly without installation via uvx pgsql-mcp-server --dsn "...".

Key features of PgSQL MCP Server

  • Asynchronous and efficient using asyncio and asyncpg.
  • Transactional safety with error handling and rollback.
  • Easy deployment via a simple command-line interface.
  • Provides DQL, DML, DDL, and DCL query execution tools.
  • Supports schema, table, column, index, and foreign key introspection.

Use cases of PgSQL MCP Server

  • Run SQL queries (SELECT, INSERT, UPDATE, DELETE) through MCP.
  • Execute transactional DDL and DCL operations via MCP calls.
  • Explore database metadata (schemas, tables, columns, indexes, foreign keys).
  • Debug and test MCP database interactions using the MCP Inspector.

FAQ from PgSQL MCP Server

What Python version is required?

Python 3.10 or higher is required.

How do I install the server?

Install using uv tool install pgsql-mcp-server or pip install pgsql-mcp-server. You can also run directly with uvx pgsql-mcp-server.

What tools does the server provide?

It offers nine tools: get_schema_names, get_tables, get_columns, get_indexes, get_foreign_keys, run_dql_query, run_dml_query, run_ddl_query, and run_dcl_query.

How can I test or debug the server?

Use the MCP Inspector: run npx @modelcontextprotocol/inspector uvx pgsql-mcp-server --dsn "..." to visually inspect and test tools.

Are DDL and DML operations transactional?

Yes, DDL, DML, and DCL operations are executed within transactions with error handling and rollback mechanisms.

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