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Connect AI assistants to PostgreSQL for secure querying, management, and analysis.
This is an open-source MIT-licensed PostgreSQL MCP server with no separate API key and no declared fixed remote endpoint in the provided materials, and no clear high-risk red flags are evident. Its inherent capabilities include local code execution and access to PostgreSQL databases, so it should be deployed and authorized with least privilege.
The materials state no separate keys or environment variables are required, but a tool that connects to arbitrary PostgreSQL databases will typically still require database connection credentials in practice. Such credentials are sensitive and could enable database access or misuse if handled improperly; however, no extra third-party cloud tokens are indicated.
No fixed remote endpoint is declared, and nothing indicates data is sent to unrelated third-party services; however, the tool’s core function is to connect to PostgreSQL databases, so data will flow between the local host and the configured database target. The provided materials do not show unusual exfiltration.
The system checks explicitly mark this tool as executes-code, meaning it runs a local MCP service process. This is a normal capability for MCP tools; based on the materials, its stated scope is database connectivity, and no clearly excessive system permissions are described.
The tool can connect to “any PostgreSQL database” and offers 25 tools plus role-based access control, implying it can read and potentially modify authorized database contents. The effective scope depends on the database account’s privileges; the materials do not indicate broad local file access, but database permissions should still be tightly scoped.
Positive signals include being open source, MIT-licensed, and having auditable source code, all of which lower risk; however, it comes from a third-party registry, shows 0 GitHub stars, has unknown maintenance status, and lacks a README, which limits verifiability and maturity. Supply-chain and maintenance risk therefore still warrant caution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "postgresql-mcp" yet — see the docs or source repo.
Connect to my PostgreSQL database, calculate monthly new users, active users, and retention rates for the past 12 months, and return the SQL plus a summary of findings.
Provides executable SQL, key metric results, and a concise analysis summary.
List the order-related tables, columns, primary and foreign key relationships, and explain each table’s purpose to help me quickly understand this PostgreSQL schema.
Returns schema documentation, column lists, and relationship mapping for the relevant tables.
Using read-only access, inspect current database connections, slow-query-related information, and key performance metrics, then provide risk notes without modifying any data.
Provides read-only query results, a performance summary, and potential risk recommendations.
Securely query and manage PostgreSQL databases for operations and automation.
Securely connect AI to PostgreSQL for querying, schema analysis, and controlled writes.
Safely inspect and query PostgreSQL databases using natural language.
Query PostgreSQL databases and schemas through natural language with read-only AI access.
Safely access and diagnose PostgreSQL databases through structured MCP tools.
Safely explore PostgreSQL schemas and run controlled read or write queries.