Install AI Tools

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

Claude

Install the plugin Recommended

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

Start a new Claude Code session in your project. Use --scope user instead for all projects.

Manual MCP setup

From your project directory:

bash
claude mcp add --transport stdio --scope project b2c-dx-mcp -- npx -y @salesforce/b2c-dx-mcp@latest

Start a new session. Use --scope user instead for all projects. See Claude Code MCP setup.

Claude Desktop setup

Codex

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. This setup also works with the Codex IDE extension and the ChatGPT Work desktop app.

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.

ChatGPT online setup

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

From your project directory, run:

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

Start a new Gemini CLI session. Use --scope user instead for all projects. See Gemini CLI MCP setup.

No separate skills plugins needed.

Other clients and manual setup →
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@salesforce/b2c-tooling-sdk / operations/jobs / siteArchiveImportSplit

Function: siteArchiveImportSplit()

siteArchiveImportSplit(instance, dir, options): Promise<SiteArchiveImportResult[]>

Defined in: packages/b2c-tooling-sdk/src/operations/jobs/site-archive.ts:705

Imports a large site archive by splitting it into multiple archive parts that each stay under a size ceiling, then importing them sequentially.

This works around the instance-side limit on a single import archive. The strategy:

  1. Order-sensitive XML/metadata is imported first, kept together in one archive when it fits (preferred). If it must be split, it splits at top-level data-unit boundaries in dependency order, never splitting a single unit — so catalogs (and their internal references) ride together.
  2. Static assets (catalog/library static resources) are deferred to subsequent archive parts, bin-packed by compressed size. They are order-independent and attach to the units created by the XML import.

Parts are imported sequentially and the operation stops on the first failure.

Parameters

instance

B2CInstance

B2C instance to import to

dir

string

Local directory to import (must be a directory)

options

SiteArchiveImportSplitOptions = {}

Split import options

Returns

Promise<SiteArchiveImportResult[]>

One import result per archive part, in import order

Throws

Error if a single file or data unit cannot fit under maxBytes

Throws

JobExecutionError if any part's import job fails

Example

typescript
const results = await siteArchiveImportSplit(instance, './big-site-data', {
  maxBytes: 190 * 1024 * 1024,
  onPart: (p) => console.log(`Part ${p.index}/${p.total}: ${p.kind} (${p.fileCount} files)`),
});