Snippy MCP Server

What is Snippy?

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.

How to use Snippy?

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.

Key features of Snippy

• Expose Azure Functions as discoverable MCP tools.
• Stateful AI agents with automatic conversation history.
• Multi-agent orchestration via Durable Task Scheduler.
• Semantic code retrieval with Cosmos DB vector search.
• Real-time monitoring with DTS dashboard.
• One-click infrastructure deployment using azd up.

Use cases of Snippy

• Save code snippets with vector embeddings for semantic search.
• Retrieve snippets by name for quick reference.
• Generate language-specific code style guides from saved snippets.
• Create comprehensive wiki documentation via multi-agent workflow.
• Use as a reference architecture for building production‑ready MCP tools.