Which integrations are available for this server?

Enables searching and retrieving content from over 360 official Salesforce developer documents, including Apex guides, REST and Bulk API references, Lightning Web Components documentation, and release notes.

How do I use Salesforce Documentation MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Salesforce Documentation MCP Server How do I use the wire decorator in a Lightning Web Component?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Salesforce Documentation MCP Server

MCP Node.js License: MIT

A local-first Model Context Protocol (MCP) server for searching Salesforce Developer Documentation. Search across 360 official Salesforce PDF documents directly from VS Code, Claude Desktop, or any MCP-compatible client.

✨ Features

🎯 Intent-Based Search - Automatically detects query topic (Apex, REST API, LWC, etc.) and searches in relevant docs
📚 360 Documents - 291 developer guides + 69 release notes (Apex, LWC, REST API, Metadata API, and more)
🏠 100% Local - All data stays on your machine, works offline
⚡ Fast - Sub-second query latency with intelligent filtering + LRU caching
🔍 Smart Fallback - Expands search if topic-filtered results are sparse
📦 Packageable - Pure JavaScript (sql.js), no native dependencies
🔐 Secure - Parameterized queries, input validation with zod

🚀 Quick Start

Prerequisites

Node.js 18 or higher
npm or yarn
VS Code with GitHub Copilot or Claude Desktop

Installation

# Clone the repository git clone https://github.com/SalesforceDiariesBySanket/salesforce-docs-mcp.git cd salesforce-docs-mcp # Install dependencies npm install # Build the TypeScript npm run build # Build the search index (parses all PDFs - takes 5-10 minutes) npm run build-index

Configure VS Code

Add to your VS Code MCP configuration (%APPDATA%\Code\User\mcp.json on Windows):

{ "servers": { "salesforce-docs": { "type": "stdio", "command": "node", "args": ["C:\\path\\to\\salesforce-docs-mcp\\dist\\index.js"] } } }

Configure Claude Desktop

Add to your Claude Desktop configuration (%APPDATA%\Claude\claude_desktop_config.json):

{ "mcpServers": { "salesforce-docs": { "command": "node", "args": ["C:\\path\\to\\salesforce-docs-mcp\\dist\\index.js"] } } }

🛠️ Available Tools

`search_salesforce_docs`

Search across all Salesforce documentation with natural language queries.

Example: "How to create an Apex trigger on Account" Example: "REST API authentication with OAuth 2.0" Example: "Lightning Web Component wire service"

`get_api_reference`

Get specific Salesforce API reference documentation.

Example: API name "REST API", endpoint "/services/data" Example: API name "Bulk API 2.0", endpoint "jobs"

`get_release_notes`

Get Salesforce release notes for specific releases or features.

Example: release "Winter 26" Example: feature "Dynamic Forms"

`get_code_example`

Get code examples from Salesforce documentation.

Example: topic "trigger on Account", language "apex"

`list_doc_categories`

List all documentation categories with document counts.

`get_document`

Get full content of a specific document by ID or filename.

🎯 Intent-Based Search

The MCP server automatically detects the topic of your query and searches in the most relevant documentation:

Query	Detected Intent	Searches In
"How to create an Apex trigger"	Apex Development	~15 Apex docs
"REST API OAuth authentication"	REST API	~10 REST API docs
"LWC wire decorator"	Lightning/LWC	~12 Lightning docs
"Bulk API 2.0 job"	Bulk API	~5 Bulk API docs
"sharing rules permission set"	Security	12 Security docs
"SOQL query limits"	SOQL/SOSL	~5 SOQL docs

Benefits:

🎯 More relevant results - Searches in topic-specific docs first
⚡ Faster queries - Scans ~15 docs instead of 357
🔄 Smart fallback - Expands search if too few results found

Override: You can always specify category or subcategory to search in a specific area.

📁 Documentation Categories

Category	Description
`core_platform`	Apex, LWC, Visualforce, SOQL/SOSL, Formulas
`apis`	REST, SOAP, Metadata, Bulk, Tooling APIs
`dev_tools`	Salesforce CLI, VS Code, Packaging
`clouds`	Sales, Service, Experience, Industry Clouds
`security`	Authentication, Authorization, Sharing
`integration`	Integration Patterns, Connectors
`best_practices`	Limits, Performance, Cheatsheets
`release_notes`	Winter '15 to present

🏗️ Project Structure

salesforce-docs-mcp/ ├── src/ │ ├── index.ts # MCP server entry point │ ├── types.ts # TypeScript type definitions │ ├── db/ │ │ ├── database.ts # SQLite connection (sql.js) │ │ └── queries.ts # Search queries with intent detection │ └── utils/ │ ├── formatter.ts # Result formatting │ ├── intent.ts # Intent detection patterns │ ├── classifier.ts # Document classification │ └── chunker.ts # PDF text chunking ├── scripts/ │ ├── build-index.ts # PDF parsing and indexing │ ├── test-search.ts # Search testing (114 tests) │ ├── test-llm-judge.ts # LLM-as-judge evaluation │ └── postinstall.js # Post-install setup ├── docs/ │ ├── pdfs/ # 291 Salesforce developer PDFs │ └── release-notes/ # 69 release notes PDFs ├── data/ │ └── salesforce-docs.db # SQLite search index (357 docs) ├── package.json ├── tsconfig.json └── README.md

📥 Adding Documentation

Download Salesforce PDFs to docs/pdfs/ then rebuild the index:

npm run build-index

PDFs can be downloaded from:

https://resources.docs.salesforce.com/{version}/latest/en-us/sfdc/pdf/{name}.pdf

Current version: 258 (Winter '26, API v65.0)

🔧 Development

# Run in development mode npm run dev # Build TypeScript npm run build # Test search functionality npm run test-search

⚡ Performance

Metric	Value
PDF Documents	360 (291 + 69 release notes)
Documents indexed	357
Search chunks	~156,000
Database size	~520 MB
Intent-filtered query	< 50ms (scoped search)
Unfiltered query	< 500ms (full corpus)
Cached query	< 10ms

How Intent-Based Search Improves Performance

Traditional Search: "Apex trigger" → Scan all 156K chunks → Filter → Rank → ~500ms Intent-Based Search: "Apex trigger" → Detect: Apex (high confidence) → Filter to apex subcategory (~15 docs, ~6,000 chunks) → Scan → Rank → ~50ms

Note: Uses sql.js (pure JavaScript SQLite) with LIKE-based text search. Intent detection reduces search scope by 90%+ for topic-specific queries.

🔐 Security

100% Local: No data leaves your machine
No API Keys: Works completely offline
stdio Transport: No exposed HTTP endpoints
Parameterized Queries: Protection against SQL injection
Input Validation: All tool inputs validated with zod schemas

📜 License

MIT License - see LICENSE for details.

⚠️ Disclaimer

Salesforce Documentation: The Salesforce documentation PDF files included in this repository are the property of Salesforce, Inc. and are provided for convenience only. These documents are subject to Salesforce's own terms of use and copyright.

Trademark Notice: The trademarks and product names of Salesforce®, including the mark Salesforce®, are the property of Salesforce, Inc. This project is not affiliated with, sponsored by, or endorsed by Salesforce, Inc. The use of the Salesforce® trademark and Salesforce documentation in this project does not indicate an endorsement, recommendation, or business relationship between Salesforce, Inc. and the project maintainers.

Official Documentation: For official Salesforce documentation, please visit developer.salesforce.com/docs.

Salesforce Documentation MCP Server

Salesforce Documentation MCP Server

✨ Features

🚀 Quick Start

Prerequisites

Installation

Configure VS Code

Configure Claude Desktop

🛠️ Available Tools

`search_salesforce_docs`

`get_api_reference`

`get_release_notes`

`get_code_example`

`list_doc_categories`

`get_document`

🎯 Intent-Based Search

📁 Documentation Categories

🏗️ Project Structure

📥 Adding Documentation

🔧 Development

⚡ Performance

How Intent-Based Search Improves Performance

🔐 Security

📜 License

⚠️ Disclaimer

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