azure-query-mcp

azure-query-mcp

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.

Category
访问服务器

README

Azure Query MCP

A read-only Model Context Protocol server for querying Azure Log Analytics and Azure Resource Graph (ARG). It runs locally over stdio and uses Azure RBAC through DefaultAzureCredential.

What users should install

This project is currently distributed from source. Each user runs the MCP server locally and authenticates with their own Microsoft Entra identity. Nothing is deployed into an Azure tenant, and the server does not receive shared credentials.

Use it when an MCP client needs both of these Azure data planes:

  • Log Analytics for logs, events, telemetry, and time-series analysis.
  • Azure Resource Graph for resource inventory and control-plane configuration.

Choose the right tool

Need MCP tool Data source
Logs, events, telemetry, metrics, incidents, or time-series analysis query_workspace Log Analytics workspace
Azure resource inventory, configuration, tags, policy, health, or cross-subscription discovery query_azure_resources Azure Resource Graph
Find a workspace or inspect its tables and schemas list_workspaces, search_tables, describe_table Azure Resource Manager

ARG describes Azure control-plane resources and can be slightly delayed. It does not contain workspace log records. Log Analytics queries require a workspace customer ID and an ISO 8601 timespan.

Security properties

  • All tools are marked read-only, non-destructive, and idempotent.
  • ARG calls a fixed Microsoft endpoint with API version 2024-04-01; users cannot control the URL.
  • ARG requires explicit subscription scope and caps each page at 1,000 rows and 5 MiB.
  • Log Analytics requires bounded KQL and caps output at 1,000 rows and 2,000 characters per cell.
  • Requests time out, upstream ARG error bodies are not returned, and access tokens are never logged.
  • Authentication and authorization are delegated to Microsoft Entra ID and Azure RBAC.

See SECURITY.md before production deployment.

Prerequisites

  • Git
  • Node.js 22 or later
  • Azure CLI for local interactive authentication
  • An Azure identity available to DefaultAzureCredential
  • Azure RBAC on only the subscriptions and workspaces that should be queried

Recommended least-privilege roles:

Capability Suggested role and scope
Query ARG and discover workspaces Reader on the required subscription or narrower resource scope
Read Log Analytics schemas and data Log Analytics Reader on each required workspace

Custom roles can be narrower. The effective permissions must include the relevant Azure Resource Manager read operations and Log Analytics query access.

Set up locally

  1. Clone and build the server.

    git clone https://github.com/kapetanios55/azure-query-mcp.git
    Set-Location azure-query-mcp
    npm ci
    npm run check
    
  2. Sign in to the tenant that contains the target subscriptions and workspaces.

    az login --tenant <tenant-id>
    az account list --output table
    
  3. Add the server to the MCP client. For VS Code, add this to .vscode/mcp.json and replace the path with the absolute path to the cloned repository.

    {
      "inputs": [
        {
          "id": "azureTenantId",
          "type": "promptString",
          "description": "Microsoft Entra tenant ID"
        }
      ],
      "servers": {
        "azure-query": {
          "type": "stdio",
          "command": "node",
          "args": ["C:/path/to/azure-query-mcp/dist/index.js"],
          "env": {
            "AZURE_TENANT_ID": "${input:azureTenantId}"
          }
        }
      }
    }
    
  4. Start azure-query from the MCP server view. Reload the VS Code window if the server does not appear after editing the configuration.

  5. Verify both paths with prompts such as:

    List the Log Analytics workspaces in subscription <subscription-id>.
    Show the schema of the Heartbeat table in workspace <workspace-resource-id>.
    Use Azure Resource Graph to count resources by type in subscription <subscription-id>.
    

For production, use managed identity or workload identity. Avoid client secrets when the hosting platform supports federation.

Never place AZURE_CLIENT_SECRET directly in a committed MCP configuration. Use the host's secret store or managed identity.

Tools

query_azure_resources

Runs read-only ARG KQL against one or more explicitly supplied subscription IDs. The query must begin with a supported ARG table such as Resources.

subscriptionIds: ["00000000-0000-4000-8000-000000000000"]
query: Resources | where type =~ 'microsoft.compute/virtualmachines' | project id, name, resourceGroup, location | order by name asc | limit 50
maxResults: 50

Use the returned skipToken with the identical query and subscription scope to request another page.

query_workspace

Runs bounded read-only KQL against one Log Analytics workspace. A result-limiting operator and timespan are mandatory.

workspaceId: 00000000-0000-4000-8000-000000000000
query: Heartbeat | project TimeGenerated, Computer | take 50
timespan: PT1H

The remaining tools discover workspaces and inspect Log Analytics table metadata.

Log Analytics examples

The examples below use query_workspace. Supply the workspace customer ID and an explicit ISO 8601 timespan with every request. Table availability depends on the workspace configuration.

Agent heartbeat recency

Prompt:

For the last 24 hours, show the 25 computers with the most recent heartbeat.

KQL:

Heartbeat
| summarize LastHeartbeat=max(TimeGenerated) by Computer
| top 25 by LastHeartbeat desc

Timespan: P1D

Most common failed sign-ins

Prompt:

For the last seven days, show the 20 users with the most failed sign-ins.

KQL:

SigninLogs
| where ResultType != 0
| summarize FailedSignIns=count() by UserPrincipalName
| top 20 by FailedSignIns desc

Timespan: P7D

Recent Sentinel incidents

Prompt:

Show the 20 most recently updated Microsoft Sentinel incidents from the last seven days.

KQL:

SecurityIncident
| summarize arg_max(TimeGenerated, *) by IncidentNumber
| project TimeGenerated, IncidentNumber, Title, Severity, Status, Owner
| top 20 by TimeGenerated desc

Timespan: P7D

Use search_tables when the table name is unknown, then use describe_table to retrieve the canonical column names and types before writing KQL.

Azure Resource Graph examples

The examples below use query_azure_resources and one or more explicit subscription IDs. ARG reports Azure control-plane state and can be slightly delayed.

Count resources by type

Resources
| summarize ResourceCount=count() by type
| top 25 by ResourceCount desc

List virtual machines

Resources
| where type =~ 'microsoft.compute/virtualmachines'
| project id, name, resourceGroup, subscriptionId, location
| order by name asc
| limit 100

Find resources missing an owner tag

Resources
| where isempty(tags.owner)
| project id, name, type, resourceGroup, subscriptionId
| order by type asc, name asc
| limit 100

Count NSGs with an inbound port allowed from the internet

Set targetPort to the port to investigate. This query handles a single destination port, destination port arrays, ranges such as 5000-5100, and the * wildcard. It also handles single and array source prefixes.

Resources
| where type =~ 'microsoft.network/networksecuritygroups'
| mv-expand rule = properties.securityRules
| where tostring(rule.properties.direction) =~ 'Inbound'
    and tostring(rule.properties.access) =~ 'Allow'
| extend sourcePrefixes = iif(
    array_length(rule.properties.sourceAddressPrefixes) > 0,
    rule.properties.sourceAddressPrefixes,
    pack_array(rule.properties.sourceAddressPrefix)
  ), destinationPorts = iif(
    array_length(rule.properties.destinationPortRanges) > 0,
    rule.properties.destinationPortRanges,
    pack_array(rule.properties.destinationPortRange)
  )
| mv-expand sourcePrefix = sourcePrefixes
| where tostring(sourcePrefix) in~ ('*', 'Internet', '0.0.0.0/0', '::/0')
| mv-expand destinationPort = destinationPorts
| extend portText=tostring(destinationPort), targetPort=22
| extend rangeStart=toint(split(portText, '-')[0]),
         rangeEnd=toint(split(portText, '-')[1])
| where portText == '*'
    or targetPort == toint(portText)
    or (rangeStart <= targetPort and rangeEnd >= targetPort)
| summarize MatchingRules=count(),
            NsgCount=dcount(id),
            Nsgs=make_set(name, 100)

This query shape was tested against Azure Resource Graph with both positive and zero-result ports.

Important: this identifies candidate exposure in configured custom NSG rules. It does not calculate effective packet reachability, rule priority conflicts, subnet and NIC associations, public IP presence, routes, Azure Firewall behavior, or application listeners. Treat the result as an investigation starting point, not proof that a service is reachable from the internet.

Troubleshooting

Symptom Action
Wrong-token-issuer or tenant error Run az login --tenant <tenant-id> and make sure AZURE_TENANT_ID uses the same tenant.
AuthorizationFailed from ARG Verify Reader access at the requested subscription or resource scope.
Workspace metadata works but queries fail Verify Log Analytics Reader access to the workspace and confirm the workspace customer ID.
Table not found Run search_tables, then query the exact returned table name.
Query rejected as unbounded Add take, limit, top, summarize, or count as appropriate.
Server is not visible in VS Code Run npm run build, verify the absolute dist/index.js path, then restart the MCP server or reload VS Code.

Development

npm run check
npm audit --omit=dev

The implementation follows the Microsoft Learn Azure Resource Graph REST API and Resources API reference.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选