Creating and Managing AI Toolkit Services

pgEdge Cloud databases can be deployed with an installed and configured MCP server, ready for connections. After deployment, use the Services dialog to open the Add MCP Server popup to add AI functionality to an existing cluster or to manage defined functionality.

Select the Add MCP Server button to access the Add MCP Server popup and define an MCP server, and optionally enable an associated LLM.

Use the fields on the Add MCP Server popup to describe the server and, optionally, the LLM:

• Click the Select Host field to select the node that the MCP server will be provisioned on. You can deploy the MCP server on each node of your cluster, but each MCP server deployment must be individually defined.

• Slide the LLM Enabled? toggle switch to enable the LLM detail fields.

• Use the LLM Provider drop-down to select your AI provider. pgEdge Cloud currently supports the following AI providers:

  • Anthropic AI (Claude)
  • OpenAI (ChatGPT)
  • Ollama

• Use the Model field to provide the model name for the LLM provider. This field is not validated, but must match the name of an available model. For example:

  • claude-sonnet-4-6
  • gpt-4o
  • llama3.1

• If prompted, use the API Token field to provide the string used to authenticate with your MCP server; this is a user-created value required by Anthropic and OpenAI.

When you've defined the MCP server (with optional LLM functionality), select the + Add MCP Server button to update your database.

When the deployment is complete, details about the MCP server deployment are displayed in the Services dialog.

Connecting a Client to the MCP Server

The steps you use to connect a client to the MCP server vary by client and platform. The Services dialog displays connection details for several popular clients under the Connect to MCP Clients label:

Select a tab to view and copy connection details for the client you wish to use. Choose from:

• Claude Code
• Cursor
• OpenAI Codex
• Replit

Creating a Public Ingress

If your cluster was created as a private cluster (without a public-facing IP address), you will need to use a public ingress for connections to the MCP server. Select the Connect to Ingress button to review available ingresses or to create a new ingress:

If no healthy ingresses exist for the current cluster, the Connect to Ingress popup opens; use the Go to Cluster Settings button to edit the cluster and create an ingress.

To navigate to the cluster's dialog and create an ingress, select the Go to Cluster Settings button. Once on the cluster dialog, scroll down to the page end, and select + Add Ingress:

The Create Ingress popup opens:

Use the following fields to configure the ingress:

• Provide a name for the ingress in the Name field.
• Use the Region drop-down to select the region the ingress will use for connections. If you have multiple nodes in the selected region, connections will be managed with a connection pooler and load balancer.

After providing ingress details, select the + Create Ingress button to create the ingress and add it to the list of ingresses.

Once created, the ingress will be added to the list of available ingresses:

To delete an ingress, select the delete icon on the ingress information pane.

When prompted, confirm the deletion.

A popup confirms that the ingress is being deleted.