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Mastra vs Microsoft Agent Framework + Azure AI Foundry — A Practical Comparison

· 2 min read
Andrés Carmona Gil
Desarrollador & Creador de Contenido

Summary: A concise comparison between Mastra (TypeScript-first agent framework) and Microsoft's Agent Framework + Azure AI Foundry (Microsoft's managed agent platform).

1. One-line summary


2. Quick comparison

AspectMastraMicrosoft Agent Framework + Azure AI Foundry
Language / runtimeTypeScript / Node — ideal if your stack is JS.NET and Python — first-class in Azure environments
Mental modelTypeScript-first framework for agents, pipelines, RAG, tracing, MCPSDK + runtime for multi-agent graphs, successor of Semantic Kernel / AutoGen
DeploymentSelf-host anywhere; Mastra Cloud for traces/evalsStandalone or connected to managed Foundry Agent Service in Azure
Model vendorsMulti-provider (OpenAI, Azure OpenAI, Claude, Gemini, Llama...)Multi-provider with first-class Azure model integrations
Workflows & orchestrationPipeline / graph style in TS, suspend/resume, streamingGraph-based orchestration, conditional routing, long-running, HITL
RAG / ConnectorsVector stores (Postgres, Pinecone), RAG templatesNative integration with Azure AI Search, Fabric, OneLake, SharePoint
MCP & toolsStrong MCP support, agent networks and toolsMCP as a tool type; Foundry provides catalog of managed resources
ObservabilityMastra Cloud: traces, evals, scoring, UIOpenTelemetry + Azure Monitor; platform dashboards & governance
Azure integrationCan run in Azure but agnostic by designDeep, official Azure integration (Foundry, Fabric, Entra, Defender)
License / communityOpen source (Apache 2.0); JS-focused communityOpen source (MIT) + Microsoft ecosystem & docs

3. Which to choose depending on context

  • If your stack is Node/TypeScript and you want fast iteration, Mastra is the natural fit: same language, quick developer velocity, good for MCP and scrapers.
  • If you need full enterprise Azure governance (Foundry, Fabric, Defender, Entra), or your customer requires a managed Azure solution, Microsoft Agent Framework + Foundry is appropriate.

Hybrid approach (recommended for mixed environments):

  1. Keep an agent core in JS (Mastra) for rapid iteration and product features.
  2. For enterprise-grade RAG or Azure-centred customers, deploy Agent Framework / Foundry agents as managed services and expose them as APIs.
  3. Use your Node/Mastra code to orchestrate and call those managed agents where strict governance is required.

4. TL;DR / Practical suggestion

  • For quick PoCs, internal automations, scrapers and MCP-first flows: Mastra.
  • For regulated corporate projects inside Azure, where governance and integrations matter: MAF + Foundry.