by Azure-Samples · MCP Server · ★ 114
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Snippy is an Azure Functions-based reference application that demonstrates how to build MCP (Model Context Protocol) tools that integrate with AI assistants like GitHub Copilot. It showcases a modern serverless AI application architecture where Azure Functions serve as both traditional APIs and MCP-compatible tools that AI assistants can discover and use.  - Record and replay user interactions in the browser with MCP support
开盒即用的优雅管理mcp服务 | 结合Agent框架 | 作者听劝 | 已发布pypi | Vue页面demo
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snippy is 🧩 Build AI-powered MCP Tools with Azure Functions, Durable Agents & Cosmos vector search. Features orchestrated multi-agent workflows using OpenAI.. It is categorized as a MCP Server with 114 GitHub stars.
snippy is primarily written in Python. It covers topics such as ai-agents, azure-functions, copilot.
You can find installation instructions and usage details in the snippy GitHub repository at github.com/Azure-Samples/snippy. The project has 114 stars and 1222 forks, indicating an active community.
snippy is released under the MIT license, making it free to use and modify according to the license terms.
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