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Alibabacloud Observability MCP Server

@aliyun

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

aliyun

提交者

rina lhb

关于 Alibabacloud Observability MCP Server

暂无概览

Alibabacloud Observability MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "alibaba_cloud_observability": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/your/alibabacloud-observability-mcp-server",
        "run",
        "mcp-server-aliyun-observability"
      ],
      "env": {
        "ALIBABA_CLOUD_ACCESS_KEY_ID": "<your_access_key_id>",
        "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "<your_access_key_secret>"
      }
    }
  }
}

Alibabacloud Observability MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Alibabacloud Observability Mcp Server?

It is a Go implementation of the Alibaba Cloud Observability MCP Server that provides AI models with structured data access to Alibaba Cloud Log Service (SLS) and Cloud Monitor (CMS). Based on the Model Context Protocol, it integrates seamlessly with AI tools such as Cursor, Kiro, Cline, and Windsurf.

How to use Alibabacloud Observability Mcp Server?

Download the binary from the Releases page, set the ALIBABA_CLOUD_ACCESS_KEY_ID and ALIBABA_CLOUD_ACCESS_KEY_SECRET environment variables, then start the server in stdio mode (./alibabacloud-observability-mcp-server start --stdio) or using a config file (./alibabacloud-observability-mcp-server start --config config.yaml). Alternatively, build from source and configure tool integration via mcp.json.

Key features of Alibabacloud Observability Mcp Server

  • Supports stdio, SSE, and streamable-http transport modes.
  • Modular toolset: PaaS, IaaS, Shared.
  • Flexible time expression parsing for data queries.
  • Time series comparison with statistical analysis and trend scoring.
  • Structured JSON logging (slog) and graceful shutdown.
  • Single binary with zero runtime dependencies.

Use cases of Alibabacloud Observability Mcp Server

  • Natural language query over SLS logs and CMS metrics via AI agents.
  • Automated root cause analysis by translating user prompts into SQL/SPL.
  • Time series data comparison and anomaly detection in observability dashboards.
  • Integration with coding assistants for intelligent operations and troubleshooting.

常见问题

1

What credentials are required?

You need an Alibaba Cloud AccessKey ID and Secret, set via the `ALIBABA_CLOUD_ACCESS_KEY_ID` and `ALIBABA_CLOUD_ACCESS_KEY_SECRET` environment variables.

2

Which tools are paid and how are they billed?

The AI-powered tools (`sls_text_to_sql`, `sls_text_to_spl`, `sls_sop`, `cms_natural_language_query`) incur STAROps fees per call. Free tools can be selected by configuring `enabled_tools` in `config.yaml`.

3

What time expression formats are supported?

Supported formats include relative presets (`last_5m`), relative expressions (`now()-1h`), Grafana style (`now-15m~now-5m`), absolute timestamps (seconds/milliseconds), and date-time strings (`2024-01-01 00:00:00`).

4

Is the server secure and does it store credentials?

The server does not store AccessKeys; they are used only at runtime for API calls. It is recommended to deploy inside a VPC or intranet and apply access control when using SSE/HTTP modes.

5

What transport modes can I use to integrate with AI tools?

The server supports stdio, SSE, and streamable-http transports. For streamable-http (recommended), set `server.transport: streamable-http` in `config.yaml`. For stdio, use the command-line invocation with the `--stdio` flag.

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