MCP Server for PostgreSQL is a free, self-hosted solution that provides AI tools with access to live PostgreSQL data. It provides a natural-language interface for exploring database content and investigating issues without developing a custom AI-to-database integration.
Devart MCP Server for PostgreSQL is a free, self-hosted middleware that connects AI assistants and agents to PostgreSQL through the Model Context Protocol (MCP). It runs within your environment, translates natural-language requests into SQL, executes queries against PostgreSQL, and returns structured results to the AI tool — without giving the AI direct access to the database.
Under the hood, the server connects to PostgreSQL through Devart ODBC Driver for PostgreSQL, which provides database connectivity and access to data and metadata. This architecture provides a consistent way for AI tools to interact with PostgreSQL without requiring a custom integration to be built and maintained.
Connecting AI to PostgreSQL through MCP turns a conventional AI chat into a practical way of working with live data. It is much faster than manual data export or SQL querying.
Retrieve data, inspect schemas, and investigate issues in the most natural and convenient way.
MCP Server for PostgreSQL gives teams a natural-language interface to PostgreSQL for analysis, development, troubleshooting, validation, and controlled AI access.
How MCP Server for PostgreSQL helps
Devart MCP Server for PostgreSQL gives teams a more practical way to bring AI into data workflows — with secure deployment, easier setup, and less custom integration work.
Keep AI-to-data access inside your environment with a secure, controlled PostgreSQL MCP layer.
Start faster with a ready MCP Server instead of building and maintaining a custom integration from scratch.
Connect Claude, VS Code, Cursor, Codex, and other MCP-compatible tools to PostgreSQL with less friction.
The MCP Server is free — no license key, no activation, no expiry. It connects through Devart ODBC Driver for PostgreSQL, which is licensed separately.
Support analysis, troubleshooting, investigation, and plain-language access across everyday data work.
Adopt PostgreSQL AI workflows with expert product guidance and dedicated support throughout setup and rollout.
Use an existing DSN or create a custom PostgreSQL connection.
Integrate Claude, VS Code, Cursor, Codex, or another compatible MCP tool.
Begin querying your PostgreSQL data in natural language through the MCP layer.
Download and set up the free, self-hosted MCP Server to securely connect your AI tools to PostgreSQL and start asking questions in plain language.
Developers, DBAs, data engineers, analytics engineers, and architects who build and maintain PostgreSQL applications and need quick access to database structure, logic, and live data. They can explore schemas, tables, views, functions, and indexes, inspect relationships and object definitions, examine query plans, investigate performance issues, and troubleshoot data or application behavior directly from their AI tools.
Sales ops, RevOps, finance, support, accounting, and operations teams that need answers from PostgreSQL data in plain language, without waiting on SQL queries or manual exports.
Teams building copilots, agent workflows, and internal assistants that need secure, governed access to live PostgreSQL data as part of automated workflows.
Devart MCP Server for PostgreSQL brings PostgreSQL data and database functionality into AI-powered workflows through the Model Context Protocol (MCP). This free, self-hosted server allows AI assistants to retrieve information, inspect database structures, and execute SQL using configured PostgreSQL connections.
Communication takes place through MCP tool calls. When an AI assistant needs database information, it invokes the appropriate server tool, which interacts with PostgreSQL through Devart ODBC Driver for PostgreSQL. The results are then passed back to the assistant in a structured format.
Yes. The server provides access to current PostgreSQL data, allowing AI tools to answer questions using actual database records. They can also inspect schemas, examine object definitions, and retrieve information needed for development or troubleshooting.
Its self-hosted architecture lets you retain control over deployment, connectivity, and database credentials. The MCP Server uses your configured PostgreSQL account, so you can restrict access to specific databases, schemas, or operations through PostgreSQL permissions.
Yes. You can install and run the MCP Server without purchasing a license or activating the product. PostgreSQL connectivity requires Devart ODBC Driver for PostgreSQL, which is available separately with a 30-day free trial.
AI assistants can support everyday database administration, development, and analysis. Typical use cases include examining schemas and object definitions, generating SQL queries, investigating performance issues, retrieving related records, and preparing ad-hoc reports.
No. The MCP Server provides a ready-made interface for compatible AI applications. Once you install it, set up the PostgreSQL connection, and configure your AI client, you can start interacting with the database using the available MCP tools.
Supported MCP clients include Claude, Visual Studio Code, Cursor, Codex, Windsurf, Cline, and Zed. Other applications that implement the Model Context Protocol can also connect, provided they support the server's transport and configuration requirements.
Clipper
dBase
Dynamics 365
Dynamics 365 Business Central
Firebird
FoxPro
HubSpot
MariaDB
Microsoft Access
MySQL
NetSuite
Oracle
QuickBooks Online
Salesforce
Salesforce Marketing Cloud
SAP Sybase ASE
Snowflake
SQL Server
SQLite
xBase
Zoho CRM
Zoho Desk