# azure-query-mcp

> azure-query-mcp — kapetanios55-azure-query-mcp. Use this tool when you need to query and analyze Azure log data and resource inventory, solving problems related to monitoring, troubleshooting, and compliance. It provides read-only access to Azure Log Analytics and Azure Resource Graph through KQL queries, with inputs including query strings and Azure RBAC authentication credentials, and outputs including query results and resource inventory data. Ideal for use cases requiring ad-hoc querying, data exploration, and auditing of Azure resources.

Canonical page: https://skillsregistry.net/skills/kapetanios55-azure-query-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kapetanios55-azure-query-mcp

## Description

Enables read-only querying of Azure Log Analytics and Azure Resource Graph through MCP, supporting KQL queries, workspace discovery, and resource inventory exploration with Azure RBAC authentication.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o4da36n4gj)
- **Repository:** <https://github.com/kapetanios55/azure-query-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kapetanios55-azure-query-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kapetanios55-azure-query-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kapetanios55-azure-query-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt