Knowledge Management · Developer Tools
Azure-Samples/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 modern serverless AI application architecture where Azure Functions serve as both traditional APIs and MCP-compatible tools that AI assistants can discover and use.
See repository
Setup steps are in the repository README.
The system uses Durable Task Scheduler to orchestrate multi-agent workflows, Cosmos DB with vector indexing for semantic code search, and Azure OpenAI for embeddings and LLM capabilities. The project ships with reproducible azd infrastructure—azd up deploys the entire stack and works with both local Docker-based emulators and Azure cloud services.
MCP Tool Integration – expose Azure Functions as discoverable MCP tools for AI assistants
Durable Agents with Microsoft Agent Framework – build stateful AI agents using ChatAgent with automatic conversation history management
Multi-Agent Orchestration – coordinate specialized agents (DeepWiki, CodeStyle) using Durable Task Scheduler with fan-out/fan-in patterns
Vector Search on Cosmos DB DiskANN – semantic code retrieval using Azure OpenAI embeddings and low-latency vector indexing
Monitoring & Observability – track orchestrations in real-time using DTS dashboard (localhost:8082 local, Azure portal for cloud)
One-click Deploy – azd up provisions and deploys complete infrastructure including Functions, Cosmos DB, Azure OpenAI, and DTS
Codespaces & Dev Containers – fully configured development environment in your browser or local VS Code
save_snippet
Save code snippets with vector embeddings for semantic search
get_snippet
Retrieve previously saved code snippets by their unique name
code_style
Generate language-specific code style guides from saved snippets
deep_wiki
Create comprehensive wiki documentation by analyzing code snippets
generate_comprehensive_documentation
Orchestrate multi-agent workflow to produce deep wiki and style guide
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:
Desktop · Freemium · MIT
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cyberagiinc/devdocs
[!WARNING] DevDocs Status: Not publicly maintained. Enhanced internal version at CyberAGI — public release coming soon. If you have any questions please reach out to info@cyberagi.ai.
