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阿里云可观测 MCP icon

阿里云可观测 MCP Setup & Guide

MCP ServerGitHub 中文Official

io.github.aliyun/alibabacloud-observability-mcp-server

阿里云可观测官方 MCP 服务，对接 SLS 日志、ARMS 应用监控与指标查询。

Repository ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Stars170

Overview

阿里云可观测官方 MCP 服务，对接 SLS 日志、ARMS 应用监控与指标查询。 阿里云可观测 MCP is a MCP Server listed from GitHub CN. Transports: streamable-http. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

国内服务阿里云日志服务可观测

Use cases

Code review & GitHubChina servicesCursor essentials

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-10-29
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from github-cn
Verified ClientsClaude Code、Claude Desktop、Cursor 等
Security Tier: A+ 级 · 官方认证推荐 (A+)·Maintained by official/verified teams, audited for standard MCP protocol compliance.

Copy by platform

Choose your platform

  1. Open or create .cursor/mcp.json in your project root
  2. Click Copy config and paste; if you already have MCPs, merge only this entry under mcpServers
  3. Save, then Cmd+Shift+P (Ctrl+Shift+P on Windows) → Reload Window
Click to copy snippet
{
  "mcpServers": {
    "alibabacloud-observability-mcp-server": {
      "url": "http://localhost:8080"
    }
  }
}

Setup tutorial

  1. Open the 阿里云可观测 MCP page and confirm this MCP Server (source: GitHub CN).
  2. Copy the Cursor, Claude Code, or VS Code snippet.
  3. Merge it into mcpServers and replace env placeholders with real secrets.
  4. Reload the window, then call the MCP tools from your agent chat.

Install commands

Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.

Claude Code (remote)

  1. Install Claude Code CLI (claude must work in your terminal)
  2. Click Copy config below, paste into terminal, and run
  3. Restart Claude Code after it succeeds
claude mcp add --transport http alibabacloud-observability-mcp-server http://localhost:8080

Cursor — .cursor/mcp.json (remote)

  1. Open or create .cursor/mcp.json in your project root
  2. Click Copy config and paste; if you already have MCPs, merge only this entry under mcpServers
  3. Save, then Cmd+Shift+P (Ctrl+Shift+P on Windows) → Reload Window
{
  "mcpServers": {
    "alibabacloud-observability-mcp-server": {
      "url": "http://localhost:8080"
    }
  }
}

VS Code — .vscode/mcp.json (remote)

  1. Install GitHub Copilot in VS Code with MCP support
  2. Open or create .vscode/mcp.json in your project root
  3. Click Copy config and paste; merge only this mcpServers entry if others exist
  4. Save and Developer: Reload Window
{
  "mcpServers": {
    "alibabacloud-observability-mcp-server": {
      "url": "http://localhost:8080"
    }
  }
}

Claude Desktop — claude_desktop_config.json (remote)

  1. Open Claude Desktop config: macOS ~/Library/Application Support/Claude/claude_desktop_config.json; Windows %APPDATA%\Claude\claude_desktop_config.json
  2. Click Copy config and merge under mcpServers
  3. Fully quit and restart Claude Desktop
{
  "mcpServers": {
    "alibabacloud-observability-mcp-server": {
      "url": "http://localhost:8080"
    }
  }
}

Trae — .trae/mcp.json (remote)

  1. Trae → Settings → MCP, or edit .trae/mcp.json (project) / global mcp.json
  2. Use Manual add / Raw JSON, click Copy config and paste; merge only this mcpServers entry
  3. Save, pick an MCP-capable agent (e.g. Builder with MCP), reload window if needed
{
  "mcpServers": {
    "alibabacloud-observability-mcp-server": {
      "url": "http://localhost:8080"
    }
  }
}

Cherry Studio — MCP settings (remote)

  1. Cherry Studio → Settings → MCP Servers
  2. Add via JSON import or SSE/HTTP with the URL
  3. Click Copy config, paste the mcpServers entry, then enable the server
{
  "mcpServers": {
    "alibabacloud-observability-mcp-server": {
      "url": "http://localhost:8080"
    }
  }
}

Tongyi Lingma — MCP config (remote)

  1. Tongyi Lingma: avatar → Settings → MCP (agent mode; plugin ~v2.5+)
  2. Click + → config file or manual SSE/HTTP with the service URL
  3. Click Copy config and merge JSON; a healthy icon means connected
{
  "mcpServers": {
    "alibabacloud-observability-mcp-server": {
      "url": "http://localhost:8080"
    }
  }
}

Cline — MCP Servers (remote)

  1. VS Code Cline panel → settings gear → MCP Servers
  2. Click Copy config and paste the mcpServers entry into Cline
  3. Save; Cline reconnects and shows tools
{
  "mcpServers": {
    "alibabacloud-observability-mcp-server": {
      "url": "http://localhost:8080"
    }
  }
}

WorkBuddy — .workbuddy/mcp.json (remote)

  1. WorkBuddy: sidebar Plugins → MCP Servers → Configure MCP; or edit ~/.workbuddy/mcp.json (user) / .workbuddy/mcp.json (project)
  2. Click Copy config and merge under mcpServers (Tencent WorkBuddy / CodeBuddy)
  3. Save; status should turn green — fully restart the client if needed
{
  "mcpServers": {
    "alibabacloud-observability-mcp-server": {
      "url": "http://localhost:8080"
    }
  }
}

Windsurf — mcp_config.json (remote)

  1. Edit ~/.codeium/windsurf/mcp_config.json (Windows: %USERPROFILE%\.codeium\windsurf\mcp_config.json)
  2. Click Copy config and merge; remote MCP must use serverUrl (not url)
  3. Save and refresh MCP in Windsurf Cascade
{
  "mcpServers": {
    "alibabacloud-observability-mcp-server": {
      "serverUrl": "http://localhost:8080"
    }
  }
}

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for 阿里云可观测 MCP

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for 阿里云可观测 MCP?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

阿里云可观测 MCP Tool Interface Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: alibabacloud_observability_mcp_sExecute the core tool interface of 阿里云可观测 MCP
Request ArgumentsJSON Schema
{
  "target": "阿里云可观测 MCP",
  "action": "execute",
  "options": {
    "mode": "standard",
    "timeoutMs": 5000
  }
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • PR review
  • Changelog generation
  • Cross-repo issue search
When NOT to Use
  • Replacing human security audit
  • Unauthorized repo access
Recommended Workflow Pairing:View Scenario →

阿里云可观测 MCP + Scenario Prompt → Complete Agent Automation

MCP hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

Related resources

Often paired with

文生图 通义 Qwen Image 2 Pro

v1.3.35

SkillClawHub93.5k

io.clawhub.dlazyai/dlazy-qwen-image-2-pro

Alibaba Bailian qwen-image-2.0-pro general image generation. Excels at complex text rendering, multi-line layout, photorealistic detail, and strong semantic adherence — great for mixed text/image designs. 阿里云百炼 qwen-image-2.0-pro 千问通用图像生成模型，擅长复杂文本渲染、多行布局、真实质感与语义遵循，支持中英文混排与精细图文设计。

source
View on ClawHub

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PreviewListed on AgentHub: 阿里云可观测 MCP
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Markdown (GitHub README)
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Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.github.aliyun/alibabacloud-observability-mcp-server",
  "type": "mcp-server",
  "version": "latest",
  "displayName": "阿里云可观测 MCP",
  "description": "阿里云可观测官方 MCP 服务，对接 SLS 日志、ARMS 应用监控与指标查询。",
  "author": {
    "name": "aliyun",
    "url": "https://github.com/aliyun",
    "image": "https://avatars.githubusercontent.com/u/941070?v=4"
  },
  "iconUrl": "https://avatars.githubusercontent.com/u/941070?v=4",
  "repository": {
    "url": "https://github.com/aliyun/alibabacloud-observability-mcp-server",
    "source": "github"
  },
  "homepage": "https://github.com/aliyun/alibabacloud-observability-mcp-server",
  "distribution": {
    "packages": [],
    "remotes": [
      {
        "transport": "streamable-http",
        "url": "http://localhost:8080"
      }
    ]
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [
    "stars:170",
    "国内服务",
    "阿里云",
    "日志服务",
    "可观测"
  ],
  "provenance": {
    "origin": "github-cn",
    "originalId": "aliyun/alibabacloud-observability-mcp-server",
    "originalUrl": "https://github.com/aliyun/alibabacloud-observability-mcp-server",
    "isOfficial": true,
    "status": "active"
  }
}
阿里云可观测 MCP Setup & Guide - AgentHub