Sk Mcp Sample

@vtjc2002on 10 months ago

2 MIT

FreeCommunity

AI Systems

Semantic Kernel with MCP server/client sample using SSE transport protocal

What is Sk Mcp Sample

sk-mcp-sample is a sample project demonstrating the use of Semantic Kernel with an MCP server/client architecture utilizing the SSE transport protocol.

Use cases

Use cases for sk-mcp-sample include developing AI-driven applications, real-time analytics platforms, and enhancing communication between distributed systems.

How to use

To use sk-mcp-sample, clone the repository, set up the environment as per the README instructions, and run the server and client components to establish communication using the SSE protocol.

Key features

Key features of sk-mcp-sample include seamless integration of Semantic Kernel, support for server/client architecture, and efficient data transport using SSE protocol.

Where to use

sk-mcp-sample can be used in various fields such as artificial intelligence, machine learning applications, and real-time data processing systems.

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 Sk Mcp Sample

sk-mcp-sample is a sample project demonstrating the use of Semantic Kernel with an MCP server/client architecture utilizing the SSE transport protocol.

Use cases

Use cases for sk-mcp-sample include developing AI-driven applications, real-time analytics platforms, and enhancing communication between distributed systems.

How to use

To use sk-mcp-sample, clone the repository, set up the environment as per the README instructions, and run the server and client components to establish communication using the SSE protocol.

Key features

Key features of sk-mcp-sample include seamless integration of Semantic Kernel, support for server/client architecture, and efficient data transport using SSE protocol.

Where to use

sk-mcp-sample can be used in various fields such as artificial intelligence, machine learning applications, and real-time data processing systems.

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

sk-mcp-sample

Semantic Kernel with MCP server/client sample using SSE transport protocal

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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