observability-mcp

observability-mcp

A read-only MCP server that exposes Azure incident-investigation tools for a single App Service and its Application Insights telemetry, enabling an agent to correlate deployment history, platform metrics, and transaction traces.

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README

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 report

The two components

Directory What it is
observability-mcp/ 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 operation_Id. Auth via DefaultAzureCredential (no secrets in code).
incident-agent/ 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).

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 (your az login locally; 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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