observability-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@observability-mcpcorrelate recent deployments with failed requests"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Azure Incident Investigation
A two-part portfolio project: a read-only MCP server exposing Azure observability tools, and an autonomous agent that drives those tools to investigate incidents and produce a synthesised root-cause report. A free, self-built, minimal take on the idea behind Microsoft's Azure SRE Agent — and, like that tool's "Reader mode", strictly read-only throughout.
you ──"symptom"──▶ incident-agent ──MCP (stdio/HTTP)──▶ observability-mcp ──▶ Azure
(Claude Agent SDK) (9 read-only tools) (App Insights,
│ App Service,
└── streams its reasoning + tool calls live, Activity Log)
then emits a Markdown root-cause reportThe two components
Directory | What it is |
The tool layer. A Model Context Protocol server (TypeScript, stdio or Streamable HTTP) exposing 9 read-only tools over Application Insights telemetry, App Service deployment history, App Service Plan metrics, and the Azure Activity Log — all correlated on | |
The investigator. A standalone agent (Claude Agent SDK) that connects to the MCP server as a client and autonomously drives its tools — starting narrow, widening the time window, localising the onset, identifying what changed, and confirming on a trace — before writing an evidence-backed report. Read-only by construction. |
Each directory is a self-contained npm project with its own README covering
setup, configuration, and how to run it. Start with
observability-mcp/ (the tools), then
incident-agent/ (the agent that drives them).
Related MCP server: aws-safe-mcp
Design principles
Read-only, always. Every tool calls only
list*/get*/ query APIs; the agent routes every tool call through a single deny-by-default gate. Nothing in this project can modify, restart, scale, or delete anything.No secrets in code or config. Azure access is
DefaultAzureCredential(youraz loginlocally; a managed identity when deployed). See each component's README for the auth and security model.Runs locally or hosted. The MCP server speaks stdio for local use and Streamable HTTP for hosting (e.g. Azure Container Apps); the agent connects to either.
This is a lab / portfolio project — safe to run and read, but deliberately not production-hardened. See each component's "Security model" notes before deploying anywhere reachable.
License
MIT.
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