2025 04 17 Github Mcp Demo

5 Apache-2.0

FreeCommunity

AI Systems

a demo for the mcp stuff

What is 2025 04 17 Github Mcp Demo

2025-04-17-github-mcp-demo is a demonstration project that showcases the integration of the Github MCP service with Spring AI, developed by Patrick Chanezon and his collaborator.

Use cases

Use cases for the 2025-04-17-github-mcp-demo include demonstrating how to leverage GitHub’s MCP service in AI-driven applications, educational purposes for developers learning about MCP integration, and prototyping new features for software projects.

How to use

To use the 2025-04-17-github-mcp-demo, clone the repository from GitHub, set up the necessary environment for Spring AI, and follow the instructions in the README to run the demo.

Key features

Key features of the 2025-04-17-github-mcp-demo include seamless integration with Github MCP, utilization of Spring AI capabilities, and a user-friendly demonstration setup.

Where to use

The 2025-04-17-github-mcp-demo can be used in software development environments, particularly for projects that require integration with GitHub services and AI functionalities.

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 2025 04 17 Github Mcp Demo

2025-04-17-github-mcp-demo is a demonstration project that showcases the integration of the Github MCP service with Spring AI, developed by Patrick Chanezon and his collaborator.

Use cases

How to use

To use the 2025-04-17-github-mcp-demo, clone the repository from GitHub, set up the necessary environment for Spring AI, and follow the instructions in the README to run the demo.

Key features

Key features of the 2025-04-17-github-mcp-demo include seamless integration with Github MCP, utilization of Spring AI capabilities, and a user-friendly demonstration setup.

Where to use

The 2025-04-17-github-mcp-demo can be used in software development environments, particularly for projects that require integration with GitHub services and AI functionalities.

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

README

in this demo Patrick Chanezon and I look at integrating the Github MCP service with Spring AI

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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