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 →
Skip to content
View as Markdown
View as Markdown

@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)`),
});