PostgreSQL▌

by antonorlov
Connect and manage your PostgreSQL database with support for SQL queries, table management, and schema inspection, inclu
Provides a bridge to PostgreSQL databases for executing SQL queries, managing tables, and inspecting schemas with support for prepared statements and multiple parameter styles
best for
- / Developers building database-driven applications
- / Data analysts querying PostgreSQL databases
- / Database administrators managing schemas
- / Applications needing secure parameterized queries
capabilities
- / Execute SELECT queries with parameters
- / Run INSERT, UPDATE, DELETE operations
- / List database schemas and tables
- / Inspect table structures and columns
- / Use prepared statements for security
- / Connect to remote PostgreSQL instances
what it does
Connects to PostgreSQL databases to execute SQL queries, manage tables, and inspect database schemas. Supports prepared statements with multiple parameter styles.
about
PostgreSQL is a community-built MCP server published by antonorlov that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect and manage your PostgreSQL database with support for SQL queries, table management, and schema inspection, inclu It is categorized under databases.
how to install
You can install PostgreSQL in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
PostgreSQL is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
MCP PostgreSQL Server
A Model Context Protocol server that provides PostgreSQL database operations. This server enables AI models to interact with PostgreSQL databases through a standardized interface.
Installation
Manual Installation
npm install mcp-postgres-server
Or run directly with:
npx mcp-postgres-server
Configuration
The server requires the following environment variables:
{
"mcpServers": {
"postgres": {
"type": "stdio",
"command": "npx",
"args": ["-y", "mcp-postgres-server"],
"env": {
"PG_HOST": "your_host",
"PG_PORT": "5432",
"PG_USER": "your_user",
"PG_PASSWORD": "your_password",
"PG_DATABASE": "your_database"
}
}
}
}
Available Tools
1. connect_db
Establish connection to PostgreSQL database using provided credentials.
use_mcp_tool({
server_name: "postgres",
tool_name: "connect_db",
arguments: {
host: "localhost",
port: 5432,
user: "your_user",
password: "your_password",
database: "your_database"
}
});
2. query
Execute SELECT queries with optional prepared statement parameters. Supports both PostgreSQL-style ($1, $2) and MySQL-style (?) parameter placeholders.
use_mcp_tool({
server_name: "postgres",
tool_name: "query",
arguments: {
sql: "SELECT * FROM users WHERE id = $1",
params: [1]
}
});
3. execute
Execute INSERT, UPDATE, or DELETE queries with optional prepared statement parameters. Supports both PostgreSQL-style ($1, $2) and MySQL-style (?) parameter placeholders.
use_mcp_tool({
server_name: "postgres",
tool_name: "execute",
arguments: {
sql: "INSERT INTO users (name, email) VALUES ($1, $2)",
params: ["John Doe", "john@example.com"]
}
});
4. list_schemas
List all schemas in the connected database.
use_mcp_tool({
server_name: "postgres",
tool_name: "list_schemas",
arguments: {}
});
5. list_tables
List tables in the connected database. Accepts an optional schema parameter (defaults to 'public').
// List tables in the 'public' schema (default)
use_mcp_tool({
server_name: "postgres",
tool_name: "list_tables",
arguments: {}
});
// List tables in a specific schema
use_mcp_tool({
server_name: "postgres",
tool_name: "list_tables",
arguments: {
schema: "my_schema"
}
});
6. describe_table
Get the structure of a specific table. Accepts an optional schema parameter (defaults to 'public').
// Describe a table in the 'public' schema (default)
use_mcp_tool({
server_name: "postgres",
tool_name: "describe_table",
arguments: {
table: "users"
}
});
// Describe a table in a specific schema
use_mcp_tool({
server_name: "postgres",
tool_name: "describe_table",
arguments: {
table: "users",
schema: "my_schema"
}
});
Features
- Secure connection handling with automatic cleanup
- Prepared statement support for query parameters
- Support for both PostgreSQL-style ($1, $2) and MySQL-style (?) parameter placeholders
- Comprehensive error handling and validation
- TypeScript support
- Automatic connection management
- Supports PostgreSQL-specific syntax and features
- Multi-schema support for database operations
Security
- Uses prepared statements to prevent SQL injection
- Supports secure password handling through environment variables
- Validates queries before execution
- Automatically closes connections when done
Error Handling
The server provides detailed error messages for common issues:
- Connection failures
- Invalid queries
- Missing parameters
- Database errors
License
MIT
FAQ
- What is the PostgreSQL MCP server?
- PostgreSQL is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for PostgreSQL?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
PostgreSQL is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated PostgreSQL against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: PostgreSQL is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
PostgreSQL reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend PostgreSQL for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: PostgreSQL surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
PostgreSQL has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, PostgreSQL benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired PostgreSQL into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
PostgreSQL is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.