sf-architect-mcp

sf-architect-mcp

Scrapes, indexes, and serves Salesforce Architect documentation locally, enabling fast offline RAG-powered search and retrieval for AI coding assistants.

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README

SF Architect MCP

An MCP server that scrapes, indexes, and serves the Salesforce Architect documentation locally — enabling fast, offline, RAG-powered search and retrieval for AI coding assistants.

Built with Model Context Protocol, cheerio, SQLite, and Turndown.


What it does

  • Scrapes architect.salesforce.com using fetch + cheerio (the site is server-side rendered)
  • Indexes content into a local SQLite database with section-aware chunking
  • Searches using multi-term keyword scoring with section and language filters
  • Supports 17 languages mirroring the site's locale structure
  • Exposes MCP tools, resources, and prompts so your AI assistant can navigate and query the docs naturally

Prerequisites

  • Node.js ≥ 18
  • No browser binary required — scraping uses plain HTTP requests

Installation

git clone https://github.com/morettimarco/salesforce_architect_MCP.git
cd salesforce_architect_MCP
npm install
npm run build

The compiled server will be at dist/index.js.


Setup in your coding agent

Replace /absolute/path/to/sf-architect-mcp with the actual path where you cloned this repo.

Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "sf-architect": {
      "command": "node",
      "args": ["/absolute/path/to/sf-architect-mcp/dist/index.js"]
    }
  }
}

Claude Code (CLI)

claude mcp add sf-architect node /absolute/path/to/sf-architect-mcp/dist/index.js

Or edit ~/.claude/settings.json (global) or .claude/settings.json (project-level):

{
  "mcpServers": {
    "sf-architect": {
      "command": "node",
      "args": ["/absolute/path/to/sf-architect-mcp/dist/index.js"]
    }
  }
}

Cursor

Edit .cursor/mcp.json in your project root (or ~/.cursor/mcp.json for global):

{
  "mcpServers": {
    "sf-architect": {
      "command": "node",
      "args": ["/absolute/path/to/sf-architect-mcp/dist/index.js"]
    }
  }
}

Windsurf

Edit ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "sf-architect": {
      "command": "node",
      "args": ["/absolute/path/to/sf-architect-mcp/dist/index.js"]
    }
  }
}

VS Code (GitHub Copilot)

Edit .vscode/mcp.json in your workspace:

{
  "servers": {
    "sf-architect": {
      "type": "stdio",
      "command": "node",
      "args": ["/absolute/path/to/sf-architect-mcp/dist/index.js"]
    }
  }
}

First-time setup

Once the server is running in your agent, use the scrape-docs prompt or call the tool directly:

scrape_full  →  language_filter: "en"  (or your preferred language)

This fetches the sitemap, scrapes all pages with Puppeteer, converts them to Markdown, and stores them in a local SQLite database at ~/.sf-architect-mcp/sf-architect.db.

A full English scrape takes roughly 2–3 minutes (≈ 115 pages, 3 concurrent requests).


Tools

Tool Description
scrape_full Wipe the database and re-scrape everything from scratch
scrape_incremental Scrape only new, changed, or previously failed pages
search_architect_docs Keyword search across indexed content with relevance scoring
read_architect_page Read a page's full Markdown content by URL (supports max_chars)
read_architect_page_summary Lightweight summary: title, headings, word count, 500-char preview
get_section_summary Page count, total words, and title list for a section
list_architect_sections List all indexed sections with page counts
export_architect_section Export a full section to a single Markdown file on disk
get_scrape_status Database stats: page counts, sections, last run, pending/failed URLs

Resources

Attach these to your conversation context for orientation:

URI Description
sf-architect://guide/usage Recommended workflows and tool usage tips
sf-architect://data/languages All supported language codes with display names
sf-architect://data/sections Live section index with current page counts

Prompts

Pre-built workflow templates:

Prompt Arguments What it does
scrape-docs mode: full or incremental Presents available languages, asks which to scrape, then runs the appropriate tool
research-topic topic: string Searches, summarizes relevant pages, and synthesizes findings with citations
export-section section: string Verifies the section exists, shows a summary, then exports to Markdown

Supported languages

Code Language
en English (default)
de German
fr French
jp Japanese
zh-cn Chinese (Simplified)
zh-tw Chinese (Traditional)
dk Danish
es Spanish
fi Finnish
it Italian
kr Korean
nl Dutch
no Norwegian
pt-br Portuguese (Brazil)
ru Russian
se Swedish
es-mx Spanish (Mexico)
all All languages

Note: Not all languages are available for all sections. The sitemap at scrape time determines what's actually published.


Configuration

The database is stored at ~/.sf-architect-mcp/sf-architect.db by default.

Override with an environment variable:

SF_ARCHITECT_DB_DIR=/custom/path node dist/index.js

Exported markdown files go to ~/.sf-architect-mcp/exports/{section}-{language}.md unless you specify a custom path.


Architecture

src/
├── index.ts          # MCP server — tools, resources, prompts
├── scraper.ts        # fetch + cheerio scraper, concurrency pool
├── sitemap.ts        # Sitemap fetching and URL filtering
├── types.ts          # Shared TypeScript types
├── db/
│   ├── database.ts   # sql.js SQLite, persistence, schema
│   ├── ingest.ts     # Page upsert, chunk sync, scrape run tracking
│   └── queries.ts    # Search, read, export, stats
└── utils/
    ├── chunker.ts    # Section-aware text chunking (1500 chars, 200 overlap)
    └── url-utils.ts  # Language detection from URL path segments

Key design decisions:

  • fetch + cheerio — the site is fully server-side rendered, no headless browser needed. ~10x faster and cross-platform with zero native dependencies
  • sql.js (WASM SQLite) — in-process, zero native dependencies, serialized to disk after every 10 pages
  • Section-aware chunking — detects both Markdown headings and bold-text markers (**Definition:**) which the site uses instead of semantic HTML headings
  • LRU cache on search results (500 entries, 5-minute TTL)
  • Content hash comparison for incremental scraping — only re-indexes pages whose content has actually changed

License

MIT

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