| layout | default |
|---|---|
| title | MCP Swift SDK Tutorial |
| nav_order | 169 |
| has_children | true |
| format_version | v2 |
Learn how to implement MCP client and server workflows with
modelcontextprotocol/swift-sdk, including transport options, sampling, batching, and graceful service lifecycle control.
Swift teams building local-first AI tooling and Apple-platform workflows need clear MCP integration guidance. The official Swift SDK provides both client and server surfaces with practical transport and lifecycle controls.
This track focuses on:
- choosing transport and capability strategies for Swift clients
- implementing server tools/resources/prompts with safer lifecycle handling
- using sampling and batching patterns without losing user control
- managing strict-mode behavior, debugging, and release drift
- repository:
modelcontextprotocol/swift-sdk - stars: about 1.3k
- latest release:
0.12.0(published 2026-03-24)
flowchart LR
A[Swift app] --> B[Client]
B --> C[Stdio or HTTP transport]
A --> D[Server]
D --> E[Tools resources prompts]
B --> F[Sampling + batching]
| Chapter | Key Question | Outcome |
|---|---|---|
| 01 - Getting Started and Package Baseline | What is the minimal setup for Swift MCP projects? | Faster onboarding |
| 02 - Client Transport and Capability Negotiation | How do I configure Swift clients for local and remote servers? | Better client reliability |
| 03 - Tools, Resources, Prompts, and Request Patterns | How should clients interact with server primitives cleanly? | Cleaner capability usage |
| 04 - Sampling, Human-in-the-Loop, and Error Handling | How do I run sampling safely with user oversight? | Safer AI interaction |
| 05 - Server Setup, Hooks, and Primitive Authoring | How do I build robust Swift MCP servers? | Stronger server foundations |
| 06 - Transports, Custom Implementations, and Shutdown | How do I run transport and lifecycle controls in production? | Better runtime resilience |
| 07 - Strict Mode, Batching, Logging, and Debugging | How do advanced client controls affect reliability and observability? | Improved operations |
| 08 - Release, Versioning, and Production Guidelines | How do teams maintain Swift MCP systems over time? | Long-term maintainability |
- how to configure Swift MCP clients/servers across stdio and HTTP paths
- how to apply sampling and batching with stronger user-control boundaries
- how to use lifecycle hooks and shutdown behavior to reduce runtime issues
- how to plan upgrades with protocol-version awareness
Start with Chapter 1: Getting Started and Package Baseline.
- Start Here: Chapter 1: Getting Started and Package Baseline
- Back to Main Catalog
- Browse A-Z Tutorial Directory
- Search by Intent
- Explore Category Hubs
- Chapter 1: Getting Started and Package Baseline
- Chapter 2: Client Transport and Capability Negotiation
- Chapter 3: Tools, Resources, Prompts, and Request Patterns
- Chapter 4: Sampling, Human-in-the-Loop, and Error Handling
- Chapter 5: Server Setup, Hooks, and Primitive Authoring
- Chapter 6: Transports, Custom Implementations, and Shutdown
- Chapter 7: Strict Mode, Batching, Logging, and Debugging
- Chapter 8: Release, Versioning, and Production Guidelines
Generated by AI Codebase Knowledge Builder