Model Context Protocol Swift SDK

0
The Model Context Protocol Swift SDK facilitates efficient interaction with MCP servers and clients in Swift projects, supporting real-time and streaming communication through various transport layers such as HTTP and stdio, designed for Apple platforms and Linux.
Added on:
Created by:
Model Context Protocol Swift SDK

Model Context Protocol Swift SDK

0 Reviews
441
0
Model Context Protocol Swift SDK
The Model Context Protocol Swift SDK facilitates efficient interaction with MCP servers and clients in Swift projects, supporting real-time and streaming communication through various transport layers such as HTTP and stdio, designed for Apple platforms and Linux.
Added on:
Created by:
Apr 27 2025
Model Context Protocol
Featured

What is Model Context Protocol Swift SDK?

This Swift SDK provides developers with tools to build clients and servers that communicate via the Model Context Protocol. It supports multiple transport mechanisms, including streaming HTTP (SSE), stdio, and custom TCP/UDP transports, ensuring real-time data exchange and resource management. The SDK simplifies the initialization of clients and servers, resource handling, and interaction with MCP tools and prompts. With compatibility across Apple platforms and Linux, it enables scalable, real-time applications leveraging MCP's capabilities for resource subscription, notifications, and data streaming, making it ideal for developing sophisticated, protocol-compliant applications.

Who will use Model Context Protocol Swift SDK?

  • Swift developers building MCP clients or servers
  • Researchers working with Model Context Protocol
  • Companies integrating MCP into their real-time communication infrastructure
  • Developers requiring cross-platform protocol implementation

How to use the Model Context Protocol Swift SDK?

  • Step 1: Install the SDK via Swift Package Manager by adding the dependency to your project
  • Step 2: Import the MCP module into your Swift project
  • Step 3: Initialize a client or server object using the provided constructors
  • Step 4: Configure the transport layer (HTTP, stdio, or custom)
  • Step 5: Connect and authenticate the client/server to MCP
  • Step 6: Use resources, prompts, or tools APIs to interact with MCP services
  • Step 7: Handle notifications and real-time data streams as needed
  • Step 8: Properly stop or disconnect when operations are complete

Model Context Protocol Swift SDK's Core Features & Benefits

The Core Features
  • Client initialization and connection
  • Streaming HTTP support with SSE
  • Resource listing, reading, subscribing, and updating
  • Tool invocation and management
  • Prompt handling
  • Server start and stop capabilities
  • Custom transport implementation
The Benefits
  • Supports multiple transport options for flexibility
  • Enables real-time, streaming, and asynchronous communication
  • Cross-platform compatibility for Apple and Linux systems
  • Simplifies integration into existing applications
  • Follows Protocol specifications ensuring interoperability

Model Context Protocol Swift SDK's Main Use Cases & Applications

  • Building real-time communication apps using MCP
  • Integrating MCP with iOS or macOS applications
  • Developing server solutions for MCP resource management
  • Automating resource subscriptions and notifications

FAQs of Model Context Protocol Swift SDK

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

Cloud Platforms

A Spring-based chatbot for Cloud Foundry that integrates with AI services, MCP, and memGPT for advanced capabilities.
Automates MCP server creation for AWS services using boto3, simplifying server setup for development.
A serverless MCP hosted in AWS Lambda that interacts with AWS Bedrock for AI model processing via API Gateway.
A server-client MCP facilitating communication and data exchange between AI services and storage systems.
Enables interaction with SharePoint Online via REST API, supporting site, list, and user management functions.
A comprehensive suite of containers for efficient microservices deployment and management.
A client and server setup facilitating GitLab SSE communication via a supergateway for real-time updates.
A cross-platform package manager designed to manage all MCP servers efficiently and seamlessly.
A demo project showing how to build an MCP client agent to connect to external services via MCP protocol.
Implements an MCP server and client using FastMCP and LangChain for structured asynchronous communication.