What is the purpose of Snippy?
Snippy is intended for **learning and demonstration**—it shows how to build MCP tools with Azure Functions. It should **not** be deployed to production without a thorough security review.
@Azure-Samples
基本情報
🧩 Build AI-powered MCP Tools with Azure Functions, Durable Agents & Cosmos vector search. Features orchestrated multi-agent workflows using OpenAI.
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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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 serverless AI architecture using Azure Functions, Durable Functions, Azure OpenAI, and the Agent Framework for code snippet management and multi-agent orchestration.
Deploy the entire stack to Azure with a single azd up command after satisfying prerequisites (Azure subscription, azd CLI, and a development environment such as GitHub Codespaces or VS Code Dev Containers). For local development, use Docker-based emulators and Azure Functions Core Tools v4. Once deployed, the Function App URL and MCP endpoint are displayed, ready for integration with AI assistants.
azd up.Snippy is intended for **learning and demonstration**—it shows how to build MCP tools with Azure Functions. It should **not** be deployed to production without a thorough security review.
You need an Azure subscription with permission to create resources, the `azd` CLI installed, and a development environment (GitHub Codespaces, VS Code Dev Containers with Docker Desktop, or a local setup with Python 3.11, Node 18+, and Azure Functions Core Tools v4).
The README recommends **eastus** or **swedencentral** because Azure OpenAI model availability varies by region. Verify model support in those regions before deploying.
Snippy uses **User-Assigned Managed Identity** for service-to-service authentication, with RBAC roles for Cosmos DB, Storage, Application Insights, and Azure AI Project. For production, the README advises restricting network access via Private Endpoints and VNet integration.
The tool matrix lists five tools: `save_snippet`, `get_snippet`, `code_style`, `deep_wiki`, and `generate_comprehensive_documentation` (an orchestrated multi-agent workflow).

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