Install AI Tools

B2C Commerce tools, documentation, and skills for your assistant.

Claude

Using Claude Desktop? See Claude Desktop (Cowork) setup.

Install the plugin Recommended

bash
claude plugin marketplace add SalesforceCommerceCloud/b2c-developer-tooling
claude plugin install b2c-dx-mcp@b2c-developer-tooling

Start a new Claude Code session. To install for the current project only, run it from your project directory with --scope project.

Manual MCP setup
bash
claude mcp add --transport stdio --scope user b2c-dx-mcp -- npx -y @salesforce/b2c-dx-mcp@latest

Start a new session. To configure the current project only, run it from your project directory with --scope project. See Claude Code MCP setup.

Codex/ChatGPT

Using the ChatGPT desktop app (ChatGPT Work)? See ChatGPT Work setup.

Install the plugin Recommended

bash
codex plugin marketplace add SalesforceCommerceCloud/b2c-developer-tooling
codex plugin add b2c-dx-mcp@b2c-developer-tooling

Start a new Codex session in your project. Codex plugins also work in ChatGPT Work.

Manual MCP setup
bash
codex mcp add b2c-dx-mcp -- npx -y @salesforce/b2c-dx-mcp@latest

Or add this to ~/.codex/config.toml (or $CODEX_HOME/config.toml if customized):

toml
[mcp_servers.b2c-dx-mcp]
command = "npx"
args = ["-y", "@salesforce/b2c-dx-mcp@latest"]

Start a new session. See Codex MCP configuration.

VS Code

Install the plugin Recommended

  1. Open the Command Palette (Cmd/Ctrl+Shift+P) and run Chat: Install Plugin from Source.
  2. Enter SalesforceCommerceCloud/b2c-developer-tooling.
  3. Select b2c-dx-mcp and follow the installation prompts.
  4. Start a new chat in GitHub Copilot.
Manual MCP setup

Add this to .vscode/mcp.json in your workspace:

json
{
  "servers": {
    "b2c-dx-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@salesforce/b2c-dx-mcp@latest"]
    }
  }
}

See VS Code MCP setup.

Copilot CLI setup

Cursor

Reload the MCP server in Cursor after installation.

Manual MCP setup

Add this to .cursor/mcp.json in your project:

json
{
  "mcpServers": {
    "b2c-dx-mcp": {
      "command": "npx",
      "args": ["-y", "@salesforce/b2c-dx-mcp@latest"]
    }
  }
}

For all projects, use ~/.cursor/mcp.json instead.

See Cursor's MCP documentation.

OpenCode

Add this to opencode.json in your project:

json
{
  "mcp": {
    "b2c-dx-mcp": {
      "type": "local",
      "command": ["npx", "-y", "@salesforce/b2c-dx-mcp@latest"],
      "enabled": true
    }
  }
}

Restart OpenCode. For all projects, use ~/.config/opencode/opencode.json. See OpenCode MCP setup.

Gemini

Run:

bash
gemini mcp add --scope user b2c-dx-mcp -- npx -y @salesforce/b2c-dx-mcp@latest

Start a new Gemini CLI session. To configure the current project only, run it from your project directory with --scope project. See Gemini CLI MCP setup.

No separate skills plugins needed.

Other clients and manual setup →
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@salesforce/b2c-tooling-sdk / cli / CommandSearchIndex

Class: CommandSearchIndex ​

Defined in: packages/b2c-tooling-sdk/src/cli/command-search.ts:157

Searchable index over CLI commands.

Example ​

typescript
import {CommandSearchIndex} from '@salesforce/b2c-tooling-sdk/cli';

// Inside an oclif command:
const index = new CommandSearchIndex(this.config.commands, this.config.topics);
const results = index.search('deploy cartridges', {bin: this.config.bin});

Constructors ​

Constructor ​

new CommandSearchIndex(commands, topics): CommandSearchIndex

Defined in: packages/b2c-tooling-sdk/src/cli/command-search.ts:161

Parameters ​

commands ​

readonly SearchableCommand[]

topics ​

readonly SearchableTopic[] = []

Returns ​

CommandSearchIndex

Accessors ​

size ​

Get Signature ​

get size(): number

Defined in: packages/b2c-tooling-sdk/src/cli/command-search.ts:197

Number of indexed (non-hidden) commands.

Returns ​

number

Methods ​

search(query, options): CommandSearchResult[]

Defined in: packages/b2c-tooling-sdk/src/cli/command-search.ts:208

Search commands by free-text query.

Parameters ​

query ​

string

Free-text query (e.g. deploy cartridges, sandbox reset)

options ​

CommandSearchOptions = {}

Result limit, topic filter, and binary name

Returns ​

CommandSearchResult[]

Matching commands, best first