Introducing Azure Managed Grafana MCP: The Managed Data Gateway for AI Agents

Microsoft

Mar 18, 2026

Azure Managed Grafana MCP is a fully managed, remote Model Context Protocol (MCP) server built into every Azure Managed Grafana instance.

AI agents are rapidly becoming a core part of how teams build, operate, and improve cloud systems, from coding assistants to autonomous remediation workflows. To deliver on that promise in the enterprise, agents need a secure, governed way to access real production telemetry. Azure Managed Grafana MCP lets AI agents securely query the same production telemetry you already connect to Azure Managed Grafana, like Azure Monitor metrics and logs, Application Insights, and Kusto, using your existing Azure RBAC and managed identities.

How do you securely connect AI agents to real production telemetry, without standing up yet another piece of infrastructure?

Today, enabling an agent to query systems like Azure Monitor, Application Insights, or Kusto often requires deploying and operating a self‑hosted MCP server, wiring up identity and networking, and maintaining additional runtime infrastructure. That friction slows adoption and expands the security surface area.

Azure Managed Grafana MCP removes that entire layer.

With this release, every Azure Managed Grafana instance now includes a fully managed, remote MCP server that is ready by default.

What is Azure Managed Grafana MCP?

Azure Managed Grafana MCP is a built‑in, managed MCP endpoint that allows AI agents to securely query enterprise telemetry and operational data through Azure Managed Grafana.

Instead of deploying your own MCP server, customers can simply:

Point their agent to the Azure Managed Grafana MCP endpoint
Grant the agent a managed identity
Start querying production data immediately

No containers. No extra infrastructure. No duplicated auth systems.

Azure Managed Grafana MCP is very easy to configure with your existing AMG instance

Because most Azure Managed Grafana customers already connect data sources like Azure Monitor metrics, logs, Kusto, and Application Insights to Azure Managed Grafana, the MCP server can expose that telemetry to AI agents instantly, using the same RBAC and access controls teams already trust.

Why we built this

As we’ve talked with customers experimenting with Foundry and coding agents, a consistent theme has emerged: agents are only as useful as the data they can reason over.

Requiring teams to stand up and operate a separate MCP layer introduces real cost:

Additional infrastructure to deploy and maintain
Custom identity and token handling
Expanded attack surface
Slower experimentation and adoption

This Azure Managed Grafana MCP takes a different approach. Rather than asking customers to build new infrastructure for agents, we leverage infrastructure they already run and trust: Azure Managed Grafana.

This shifts Grafana from being just a visualization layer to something more strategic:

A secure telemetry access plane
An analytical engine for agent reasoning
A bridge between operational data and autonomous action

Core value propositions

Zero infrastructure overhead

Azure Managed Grafana MCP is fully managed and enabled by default:

No self‑hosted MCP servers
No additional networking configuration

Agents connect directly to Azure Managed Grafana and start querying data.

Secure by design

Security is not bolted on, it’s inherited:

Uses existing Azure RBAC
Supports managed identities
Respects current Azure Managed Grafana access controls

There’s no need to duplicate authentication or authorization logic, and the security posture remains consistent with existing observability access patterns.

Immediate enterprise scenarios

By exposing production telemetry through MCP, teams can unlock high‑value agent workflows immediately:

Root cause analysis using Application Insights
Automated operational summaries
Real‑time diagnostics
Cross‑resource telemetry correlation
Structured data access via Kusto

Chatting with an agent using Azure Managed Grafana MCP in Foundry Playground

Chatting with an agent using Azure Managed Grafana MCP

These are scenarios customers already run manually today and this MCP server makes them accessible to agents.

Closing the loop: from insight to action

One of the most powerful aspects of Azure Managed Grafana MCP is what happens when agents have access to both code context and live telemetry.

For example:

An agent queries Application Insights for production errors
Identifies recurring exception patterns
Locates the source code emitting those errors
Generates a fix and submits a pull request

This closes the loop between observability and remediation, something that’s been largely manual until now.

Designing for agents, not just dashboards

Humans and agents consume data very differently.

Humans:

Navigate dashboards sequentially
Are limited by cognitive bandwidth
Correlate issues manually

Agents:

Process large datasets in parallel
Perform iterative drill‑downs without fatigue
Detect statistically significant patterns quickly

Azure Managed Grafana MCP is designed with this in mind. Instead of only exposing raw data, it enables agent‑optimized tools, like aggregated failure views across dozens of Application Insights instances, so agents can reason efficiently at scale. To make it easier for our customers, it is now available as a native tool within Microsoft Foundry, so you can easily connect it to your Foundry Agents.