Mcp Client Example

19 MIT

FreeCommunity

AI Systems

#healthkit#ios#mcp#mcp-client#mcp-server#swift#swiftui

Learn how to implement MCP client with SwiftUI and Anthropic API

What is Mcp Client Example

mcp-client-example is an example project that demonstrates how to implement an MCP client using SwiftUI and the Anthropic API.

Use cases

Use cases include building chatbots, virtual assistants, and other applications that leverage AI for enhanced user interactions.

How to use

To use mcp-client-example, obtain your API key from the Anthropic Dashboard and update it in the ContextViewModel file before running the app.

Key features

Key features include integration with the Anthropic API, a user-friendly interface built with SwiftUI, and a demonstration of the Model Context Protocol in iOS applications.

Where to use

mcp-client-example can be used in mobile app development, particularly for iOS applications that require interaction with AI models via APIs.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Mcp Client Example

mcp-client-example is an example project that demonstrates how to implement an MCP client using SwiftUI and the Anthropic API.

Use cases

Use cases include building chatbots, virtual assistants, and other applications that leverage AI for enhanced user interactions.

How to use

To use mcp-client-example, obtain your API key from the Anthropic Dashboard and update it in the ContextViewModel file before running the app.

Key features

Key features include integration with the Anthropic API, a user-friendly interface built with SwiftUI, and a demonstration of the Model Context Protocol in iOS applications.

Where to use

mcp-client-example can be used in mobile app development, particularly for iOS applications that require interaction with AI models via APIs.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

Creating MCP Servers in Swift

An example project for Using Model Context Protocol in iOS apps article.

Author

Artem Novichkov, https://www.artemnovichkov.com/

License

The project is available under the MIT license. See the LICENSE file for more info.

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

Recommend MCP Servers

Tavily MCP Server The Tavily MCP server provides: search, extract, map, crawl tools Real-time web search capabilities through the tavily-search tool Intelligent data extraction from web pages via the tavily-extract tool Powerful web mapping tool that creates a structured map of website Web crawler that systematically explores websites.

MCP Server Chart This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools. You can also use it in Dify.

GitHub MCP Server MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.

Brave Search MCP Server Web and local search using Brave's Search API

Firecrawl MCP Server Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting

Context7 MCP LLMs rely on outdated or generic information about the libraries you use. You get:

Slack MCP server Channel management and messaging capabilities

Sequential Thinking MCP Server Dynamic and reflective problem-solving through thought sequences

Fetch MCP Server A Model Context Protocol server that provides web content fetching capabilities.

Playwright MCP A Model Context Protocol (MCP) server that provides browser automation capabilities using [Playwright](https://playwright.dev). This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

View All MCP Servers