Mcp Client Server With Anthropic

1 MIT

FreeCommunity

AI Systems

Build and run the MCP server and client using npm commands.

What is Mcp Client Server With Anthropic

MCP-client-server-with-Anthropic is a project that integrates a client-server architecture with Anthropic’s AI capabilities, allowing users to leverage advanced AI functionalities within their applications.

Use cases

Use cases include developing applications for real-time weather updates, AI-enhanced data analysis, and creating intelligent systems that respond to user inputs based on weather conditions.

How to use

To use MCP-client-server-with-Anthropic, first run ‘npm run build’ to build both the client and server components. After that, execute ‘node build/index.js …/weather-server/build/main.js’ to start the server.

Key features

Key features include seamless integration with Anthropic’s AI, a robust client-server architecture, and the ability to handle weather data processing.

Where to use

MCP-client-server-with-Anthropic can be used in various fields such as weather forecasting, AI-driven applications, and any domain requiring intelligent data processing.

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 Server With Anthropic

Use cases

Use cases include developing applications for real-time weather updates, AI-enhanced data analysis, and creating intelligent systems that respond to user inputs based on weather conditions.

How to use

Key features

Key features include seamless integration with Anthropic’s AI, a robust client-server architecture, and the ability to handle weather data processing.

Where to use

MCP-client-server-with-Anthropic can be used in various fields such as weather forecasting, AI-driven applications, and any domain requiring intelligent data processing.

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

Run npm run build for client and server
then
Run node build/index.js …/weather-server/build/main.js

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

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