阿里云可观测 MCP Server 的 Go 语言实现，为 AI 模型提供对阿里云日志服务（SLS）和云监控（CMS）的结构化数据访问能力。基于 [Model Context Protocol](https://modelcontextprotocol.io/) 协议，可与
If you want an AI assistant working directly with Alibabacloud Observability, the alibabacloud observability mcp server is the bridge. 阿里云可观测 MCP Server 的 Go 语言实现，为 AI 模型提供对阿里云日志服务（SLS）和云监控（CMS）的结构化数据访问能力。基于 Model Context Protocol 协议，可与 Cursor、Kiro、Cline、Windsurf 等 AI 工具无缝集成。.
阿里云可观测 MCP Server 的 Go 语言实现，为 AI 模型提供对阿里云日志服务（SLS）和云监控（CMS）的结构化数据访问能力。基于 Model Context Protocol 协议，可与 Cursor、Kiro、Cline、Windsurf 等 AI 工具无缝集成。
Once connected, the assistant can call these 6 tools directly:
alibabacloud-observability-mcp-server — 可执行文件config.yaml — 默认配置文件sls_text_to_sql — 自然语言转 SQLsls_text_to_spl — 自然语言转 SPLsls_sop — SLS 智能运维助手cms_natural_language_query — 自然语言数据查询The server is distributed via npm as skills, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Before the server will start you need to supply 2 environment variables: ALIBABA_CLOUD_ACCESS_KEY_ID, ALIBABA_CLOUD_ACCESS_KEY_SECRET. Keep credentials in your client's env block or a secrets manager rather than committing them.
Monitoring servers replace the paste-the-stack-trace ritual with an assistant that reads the real event, with all its surrounding context intact. Alibabacloud Observability sits in that group, and the shape of its toolset — alibabacloud-observability-mcp-server, config.yaml, sls_text_to_sql among others — tells you what it is really for. Worth comparing against the other monitoring security servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| alibabacloud-observability-mcp-server | 可执行文件 |
| config.yaml | 默认配置文件 |
| sls_text_to_sql | 自然语言转 SQL |
| sls_text_to_spl | 自然语言转 SPL |
| sls_sop | SLS 智能运维助手 |
| cms_natural_language_query | 自然语言数据查询 |
### stdio 模式
```json
{
"mcpServers": {
"alibaba_cloud_observability": {
"command": "./bin/alibabacloud-observability-mcp-server",
"args": ["start", "--stdio"],
"env": {
"ALIBABA_CLOUD_ACCESS_KEY_ID": "<your_access_key_id>",
"ALIBABA_CLOUD_ACCESS_KEY_SECRET": "<your_access_key_secret>"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| ALIBABA_CLOUD_ACCESS_KEY_ID | Credential the server authenticates with. | Yes |
| ALIBABA_CLOUD_ACCESS_KEY_SECRET | Credential the server authenticates with. | Yes |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.