Apple Docs
The Apple Docs MCP Server gives your AI assistants direct access to Apple’s developer resources.
This means you can query anything from SwiftUI APIs and UIKit frameworks to WWDC video transcripts using natural language, right inside your editor.
Features
- π Smart Search: Intelligently queries the entire Apple Developer Documentation, including SwiftUI, UIKit, and more.
- π Complete Documentation: Accesses the full JSON API for Swift and Objective-C documentation.
- π₯ WWDC Video Library: Searches WWDC sessions from 2014-2025, complete with transcripts and code examples.
- π API Relationship Discovery: Finds connections between SwiftUI views, UIKit controllers, and other framework components.
- π» Sample Code Access: Pulls up official Swift and Objective-C code examples for all Apple platforms.
- π Platform Compatibility Analysis: Checks API availability for iOS, macOS, watchOS, tvOS, and visionOS versions.
- π° Documentation Update Tracking: Keeps you current with the latest announcements from WWDC, new SDKs, and beta API changes.
How to Use It
1. For Claude Desktop, you just add this to your configuration file.
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"apple-docs": {
"command": "npx",
"args": ["-y", "@kimsungwhee/apple-docs-mcp"]
}
}
}If you ever feel like the server is providing stale information, you can force it to grab the newest version by updating the arguments: "args": ["-y", "@kimsungwhee/apple-docs-mcp@latest"]. After a quick restart of the application, you can start querying.
2. Here are setups for other common environments:
Cursor: Add this to your ~/.cursor/mcp.json file:
{
"mcpServers": {
"apple-docs": {
"command": "npx",
"args": ["-y", "@kimsungwhee/apple-docs-mcp"]
}
}
}VS Code: Add this to your VS Code MCP configuration:
{
"mcp": {
"servers": {
"apple-docs": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@kimsungwhee/apple-docs-mcp"]
}
}
}
}Zed: Add this to your settings.json file:
{
"context_servers": {
"Apple Docs": {
"command": {
"path": "npx",
"args": ["-y", "@kimsungwhee/apple-docs-mcp"]
},
"settings": {}
}
}
}3. Once installed, you can make requests like:
"Search for SwiftUI animations""Show me withAnimation API with related APIs""Search WWDC videos about Swift concurrency""Get details for WWDC session 10176""List all Beta frameworks in iOS 26"
4. Available tools:
- search_apple_docs: Finds specific APIs, classes, and methods in the documentation.
- get_apple_doc_content: Retrieves detailed content for a specific documentation page.
- list_technologies: Browses all available Apple technologies by category.
- search_wwdc_videos: Searches WWDC sessions by keyword, topic, or year.
- get_wwdc_video_details: Pulls the full transcript, code examples, and resources for a specific WWDC video.
- get_sample_code: Looks for official Apple sample code projects.
- get_platform_compatibility: Analyzes API availability across different OS versions.
- find_similar_apis: Discovers APIs related to a given one based on Apple’s recommendations.
FAQs
Q: Is this an official tool from Apple?
A: No, this is an independent, open-source project. It is not affiliated with or endorsed by Apple Inc. It uses Apple’s publicly available documentation APIs to function.
Q: The server seems to be using an older version of a document. How do I get the latest?
A: The server uses a memory-based cache to improve performance. If you suspect you are seeing stale data, you can force an update by adding the @latest tag to the package name in your configuration file, like this: "args": ["-y", "@kimsungwhee/apple-docs-mcp@latest"]. Then, restart your AI assistant or editor.
Q: Can I use this to find documentation for beta SDKs?
A: Yes. The server’s tools can track documentation updates, which includes new information for beta SDKs and features announced at WWDC. You can specifically query for beta features or updates related to a new OS version.
Q: How does the WWDC video search work?
A: The search_wwdc_videos tool lets you search session titles and descriptions by keyword. You can also filter by topic (like “SwiftUI” or “Machine Learning”) and year. Once you find a session, you can use get_wwdc_video_details with its ID to get the full transcript, downloadable resources, and associated code.
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FAQs
Q: What exactly is the Model Context Protocol (MCP)?
A: MCP is an open standard, like a common language, that lets AI applications (clients) and external data sources or tools (servers) talk to each other. It helps AI models get the context (data, instructions, tools) they need from outside systems to give more accurate and relevant responses. Think of it as a universal adapter for AI connections.
Q: How is MCP different from OpenAI's function calling or plugins?
A: While OpenAI's tools allow models to use specific external functions, MCP is a broader, open standard. It covers not just tool use, but also providing structured data (Resources) and instruction templates (Prompts) as context. Being an open standard means it's not tied to one company's models or platform. OpenAI has even started adopting MCP in its Agents SDK.
Q: Can I use MCP with frameworks like LangChain?
A: Yes, MCP is designed to complement frameworks like LangChain or LlamaIndex. Instead of relying solely on custom connectors within these frameworks, you can use MCP as a standardized bridge to connect to various tools and data sources. There's potential for interoperability, like converting MCP tools into LangChain tools.
Q: Why was MCP created? What problem does it solve?
A: It was created because large language models often lack real-time information and connecting them to external data/tools required custom, complex integrations for each pair. MCP solves this by providing a standard way to connect, reducing development time, complexity, and cost, and enabling better interoperability between different AI models and tools.
Q: Is MCP secure? What are the main risks?
A: Security is a major consideration. While MCP includes principles like user consent and control, risks exist. These include potential server compromises leading to token theft, indirect prompt injection attacks, excessive permissions, context data leakage, session hijacking, and vulnerabilities in server implementations. Implementing robust security measures like OAuth 2.1, TLS, strict permissions, and monitoring is crucial.
Q: Who is behind MCP?
A: MCP was initially developed and open-sourced by Anthropic. However, it's an open standard with active contributions from the community, including companies like Microsoft and VMware Tanzu who maintain official SDKs.


