SF Docs MCP Server

An MCP (Model Context Protocol) server for scraping Salesforce developer documentation and converting it to Markdown. Integrates with Cursor, Claude Desktop, and other MCP-compatible AI assistants. Deploy locally or to Heroku with one click.

What You Get

• 🔍 Smart page analysis - Automatically detects optimal extraction strategy for any Salesforce doc page
• 🕸️ Shadow DOM traversal - Handles React components and deeply nested shadow DOMs
• 📄 Multiple page types - Supports guide, reference, API reference, type definitions, and landing pages
• 🎯 Dynamic selectors - Fall back to custom selectors when automatic extraction fails
• 📝 Clean Markdown output - Converts HTML to GFM-compatible Markdown with tables
• 🚀 Heroku ready - One-click deploy for remote/hosted access

Table of Contents

• Prerequisites
• Install
• Run via npx
• Using with Cursor
• Using with Claude Desktop
• Running Remotely (Heroku)
• Available Tools
• Things You Can Ask
• How It Works
• Agent Usage Guide
• Batch Scraping
• Troubleshooting
• Dependencies
• Disclaimer
• License

Prerequisites

• Node.js >= 18.0.0
• Chrome/Chromium (installed automatically by Puppeteer)

Install

npm install -g @salesforcebob/sf-docs-mcp-server

Or use directly with npx (no installation required):

npx @salesforcebob/sf-docs-mcp-server

Run via npx

npx @salesforcebob/sf-docs-mcp-server

This starts an MCP stdio server. Use it with MCP-compatible clients like Cursor or Claude Desktop.

Using with Cursor

1. Open Cursor settings → MCP/Servers
2. Add a new stdio server:

{
  "mcpServers": {
    "sf-docs": {
      "command": "npx",
      "args": ["-y", "@salesforcebob/sf-docs-mcp-server"]
    }
  }
}

Or add to your Cursor MCP configuration file (~/.cursor/mcp.json).

1. Save and reload tools. You should see:
   • scrape_sf_docs
   • analyze_page_structure

Using with Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "sf-docs": {
      "command": "npx",
      "args": ["-y", "@salesforcebob/sf-docs-mcp-server"]
    }
  }
}

Running Remotely (Heroku)

This server includes an Express HTTP transport for remote deployment.

One-Click Deploy to Heroku

After clicking Deploy:

1. Choose an app name
2. Deploy the app
3. Verify endpoints:
   • GET /health → { ok: true }
   • GET /docs → Documentation JSON
   • POST /mcp → MCP HTTP endpoint

Local HTTP (for testing)

npm run serve
# or
npx @salesforcebob/sf-docs-mcp-server serve

Endpoints:

• GET http://localhost:3000/health → Health check
• GET http://localhost:3000/docs → Documentation
• POST http://localhost:3000/mcp → MCP HTTP endpoint

Using with HTTP-capable MCP Clients

Point your client at <your-app-url>/mcp as the MCP HTTP endpoint.

Available Tools

scrape_sf_docs

Scrape a Salesforce documentation page and return the content as Markdown.

Input:

• url (string, required): The Salesforce documentation URL to scrape
• selector (string, optional): CSS selector for content container (light DOM only)
• shadowPath (string[], optional): Array of selectors to traverse shadow DOM boundaries

Examples:

// Basic usage (automatic detection)
{
  "url": "https://developer.salesforce.com/docs/einstein/genai/guide/get-started.html"
}

// With shadow path for nested shadow DOM
{
  "url": "https://developer.salesforce.com/docs/commerce/einstein-api/references/einstein-profile-connector?meta=type:ClientIdParam",
  "shadowPath": ["doc-amf-reference", "doc-amf-topic", "api-type-documentation"]
}

analyze_page_structure

Analyze the DOM structure of a Salesforce documentation page to determine the best extraction approach. Use this first when the default scraper fails or returns empty content.

Input:

• url (string, required): The Salesforce documentation URL to analyze

Output:

• Detected page type
• List of custom elements found
• Elements with shadow DOM
• Content containers with suggested selectors/shadow paths
• Suggested extraction approach
• DOM tree snapshot for debugging

Things You Can Ask

Here are examples of what you can ask your AI assistant:

• "Get the Agentforce getting started documentation"
• "Scrape the Models API reference page"
• "Extract the GraphQL Send Query endpoint documentation"
• "Analyze the page structure of this Commerce Cloud API page"
• "Get all the type definitions from the Einstein Profile Connector API"
• "Show me the Agent Script language reference"

Quick JSON examples:

Scrape a guide page:

{
  "tool": "scrape_sf_docs",
  "input": {
    "url": "https://developer.salesforce.com/docs/einstein/genai/guide/agent-script.html"
  }
}

Analyze a failing page:

{
  "tool": "analyze_page_structure",
  "input": {
    "url": "https://developer.salesforce.com/docs/commerce/einstein-api/references/einstein-profile-connector?meta=type:CookieIdParam"
  }
}

How It Works

The Salesforce developer docs use a React-based architecture with nested shadow DOM components. This server handles multiple page structures:

Supported Page Types

Custom Elements Handled

• doc-heading - Headings with nested shadow DOM
• doc-content-callout - Tips, notes, warnings
• dx-code-block - Code snippets with syntax highlighting
• api-summary - API overview pages
• api-type-documentation - Type definition pages
• api-method-documentation - Method/endpoint pages
• dx-group-text - Landing page content

Agent Usage Guide

For detailed instructions on how AI agents should use these tools, see AGENT_GUIDE.md.

Batch Scraping (Optional)

For batch scraping multiple pages at once, you can use the included scraper script:

// Edit the urls array in scraper.js
const urls = [
  'https://developer.salesforce.com/docs/einstein/genai/guide/get-started.html',
  // Add more URLs here
];

Then run:

npm run scrape

Troubleshooting

Dependencies

• Puppeteer - Headless browser automation
• Turndown - HTML to Markdown conversion
• turndown-plugin-gfm - GFM table support
• Express - HTTP server for remote deployment
• @modelcontextprotocol/sdk - MCP server implementation

Disclaimer

• This repository and MCP server are provided "as is" without warranties or guarantees of any kind, express or implied, including but not limited to functionality, security, merchantability, or fitness for a particular purpose.
• Use at your own risk. Review the source, perform a security assessment, and harden before any production deployment.
• Do not expose the HTTP endpoints publicly without proper authentication/authorization, rate limiting, logging, and monitoring.
• This tool scrapes publicly available Salesforce documentation. Ensure your usage complies with Salesforce's terms of service.
• You are solely responsible for the protection of your data and compliance with your organization's security policies.

License

MIT