Swift-Mcp-Server
Swift-Mcp-Server is an code AI skill with a core value of Best practices and patterns for building Model Context Protocol (MCP) servers in Swift using the official MCP Swift SDK package. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Best practices and patterns for building Model Context Protocol (MCP) servers in Swift using the official MCP Swift SDK package.
Quick Facts
mkdir -p ./skills/swift-mcp-server && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/swift-mcp-server/SKILL.md -o ./skills/swift-mcp-server/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Swift MCP Server Development Guidelines
When building MCP servers in Swift, follow these best practices and patterns using the official Swift SDK.
Server Setup
Create an MCP server using the `Server` class with capabilities:
import MCP
let server = Server(
name: "MyServer",
version: "1.0.0",
capabilities: .init(
prompts: .init(listChanged: true),
resources: .init(subscribe: true, listChanged: true),
tools: .init(listChanged: true)
)
)Adding Tools
Use `withMethodHandler` to register tool handlers:
// Register tool list handler
await server.withMethodHandler(ListTools.self) { _ in
let tools = [
Tool(
name: "search",
description: "Search for information",
inputSchema: .object([
"properties": .object([
"query": .string("Search query"),
"limit": .number("Maximum results")
]),
"required": .array([.string("query")])
])
)
]
return .init(tools: tools)
}
// Register tool call handler
await server.withMethodHandler(CallTool.self) { params in
switch params.name {
case "search":
let query = params.arguments?["query"]?.stringValue ?? ""
let limit = params.arguments?["limit"]?.intValue ?? 10
// Perform search
let results = performSearch(query: query, limit: limit)
return .init(
content: [.text("Found \(results.count) results")],
isError: false
)
default:
return .init(
content: [.text("Unknown tool")],
isError: true
)
}
}Adding Resources
Implement resource handlers for data access:
// Register resource list handler
await server.withMethodHandler(ListResources.self) { params in
let resources = [
Resource(
name: "Data File",
uri: "resource://data/example.txt",
description: "Example data file",
mimeType: "text/plain"
)
]
return .init(resources: resources, nextCursor: nil)
}
// Register resource read handler
await server.withMethodHandler(ReadResource.self) { params in
switch params.uri {
case "resource://data/example.txt":
let content = loadResourceContent(uri: params.uri)
return .init(contents: [
Resource.Content.text(
content,
uri: params.uri,
mimeType: "text/plain"
)
])
default:
throw MCPError.invalidParams("Unknown resource URI: \(params.uri)")
}
}
// Register resource subscribe handler
await server.withMethodHandler(ResourceSubscribe.self) { params in
// Track subscription for notifications
subscriptions.insert(params.uri)
print("Client subscribed to \(params.uri)")
return .init()
}Adding Prompts
Implement prompt handlers for templated conversations:
// Register prompt list handler
await server.withMethodHandler(ListPrompts.self) { params in
let prompts = [
Prompt(
name: "analyze",
description: "Analyze a topic",
arguments: [
.init(name: "topic", description: "Topic to analyze", required: true),
.init(name: "depth", description: "Analysis depth", required: false)
]
)
]
return .init(prompts: prompts, nextCursor: nil)
}
// Register prompt get handler
await server.withMethodHandler(GetPrompt.self) { params in
switch params.name {
case "analyze":
let topic = params.arguments?["topic"]?.stringValue ?? "general"
let depth = params.arguments?["depth"]?.stringValue ?? "basic"
let description = "Analysis of \(topic) at \(depth) level"
let messages: [Prompt.Message] = [
.user("Please analyze this topic: \(topic)"),
.assist🎯 Best For
- UI designers
- Product designers
- Claude users
- GitHub Copilot users
- Software engineers
💡 Use Cases
- Generating component mockups
- Creating design system tokens
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Swift-Mcp-Server to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
Is Swift-Mcp-Server compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Swift-Mcp-Server?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Swift-Mcp-Server?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/swift-mcp-server/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping usability testing
AI-generated designs should be validated with real users before development.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.