by Azure-Samples · MCP Server · ★ 107
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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
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 238 comman
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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 107 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 107 stars and 1246 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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