The 'Build your own PostgreSQL MCP server' automation creates a Model Context Protocol (MCP) server that enables large language models (LLMs) to securely connect to, query, and manage a PostgreSQL database.
The workflow provides a restricted interface for LLMs to perform select, create, and update operations on the database, preventing direct access to the raw SQL. It includes custom workflow tools for handling different database operations and uses a Switch node to route requests to the appropriate handler. The automation is designed for users who need to securely expose their PostgreSQL database to MCP-compatible clients, such as for HR, payroll, sales, or inventory management applications.
Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how credits work →Workflow preview
The MCP Server Trigger receives incoming requests from MCP-compatible clients, such as large language models, to securely interact with the PostgreSQL database.
The Get Table Schema action reads the schema of a specified database table, providing information about the available columns and data types.
The List Tables action retrieves a list of all the tables available in the PostgreSQL database.
The Operation Router node determines the type of database operation (create, read, update) requested by the MCP client and routes the request to the corresponding handler.
The Create Table Records action constructs and executes the SQL statement necessary to insert new records into the specified database table.
The Read Table Record action builds and executes the SQL query to retrieve the requested records from the specified database table, based on the provided parameters.
The Update Table Record action constructs and executes the SQL statement required to update the specified records in the database table.
The Execute SQL action takes the SQL statement generated by the previous steps and sends it to the PostgreSQL database for execution, returning the results.
1. Add a PostgreSQL credential in the Latenode Credentials panel by providing the necessary connection details (host, port, database, username, password). 2. In the 'When Executed by Another Workflow' node, map the PostgreSQL credential from the Latenode Credentials panel to the node settings.
1. Add an MCP Server Trigger node to the workflow. 2. In the node settings, specify the endpoint path (e.g. '/mcp') and any optional authentication configuration.
1. Add a 'Switch' node after the MCP Server Trigger. 2. Configure the 'Switch' node to route the request to the appropriate handler based on the 'operation' input parameter (e.g. 'read', 'insert', 'update'). 3. Add the corresponding custom workflow tools (e.g. 'ReadTableRecord', 'CreateTableRecords', 'UpdateTableRecord') and map the required input parameters.
1. Add a 'GetTableSchema' node to fetch the schema of the target PostgreSQL table. 2. In the node settings, map the PostgreSQL credential and the 'tableName' input parameter.
1. Add a 'ListTables' node to retrieve a list of all available tables in the PostgreSQL database. 2. In the node settings, map the PostgreSQL credential.
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