Connect VS Code

Add the server from the Command Palette

Start the MCP setup

Open the Command Palette and run MCP: Add Server.

Choose the remote transport

Select HTTP, then enter https://server.autom8.pro/mcp.

Name and scope the server

Name the server apexgenius. Choose user scope for your profile or workspace scope when the declaration should live with the project.

Review trust and authorize

Review the server URL before trusting it. When VS Code opens the browser for authorization, sign in to ApexGenius and approve the connection.

Or use mcp.json

Add this configuration to your user MCP configuration or to .vscode/mcp.json in the workspace:

{
  "servers": {
    "apexgenius": {
      "type": "http",
      "url": "https://server.autom8.pro/mcp"
    }
  }
}

Use the inline start action in mcp.json, or run MCP: List Servers and start ApexGenius. Complete browser authorization on the first protected connection.

VS Code uses the top-level key servers. Cursor uses mcpServers. Do not add passwords, tokens, or private keys to a workspace file.

Verify the connection

Open Chat, confirm ApexGenius is enabled in the available tools, and ask:

Which active Flows touch Opportunity?

Check that the response comes from the intended Salesforce project and production org or sandbox. If the server is missing, run MCP: List Servers and inspect its output. In a managed environment, the chat.mcp.access policy can also restrict which MCP servers are available.

For current commands, trust behavior, configuration scopes, and policy controls, see VS Code’s MCP server guide.

Start here

Connect an AI client

Salesforce

Connect business systems

Governance and concepts

Reference and support

Add the server from the Command Palette

Or use `mcp.json`

Verify the connection

​Add the server from the Command Palette

​Or use mcp.json

​Verify the connection

Add the server from the Command Palette

Or use `mcp.json`

Verify the connection