Cloudpulse MCP Server

@Galadriel-Tech-Solutions

代码仓库

基本信息

分类

云与基础设施

传输方式

stdio

作者

Galadriel-Tech-Solutions

提交者

Yawen Li

关于 Cloudpulse MCP Server

Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.

#aws #gcp #cloudflare #vercel #devops #observability #multi-cloud #logging

Cloudpulse 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": {
    "cloudpulse": {
      "command": "npx",
      "args": [
        "-y",
        "cloudpulse-mcp"
      ],
      "env": {
        "AWS_ACCESS_KEY_ID": "<your-aws-key>",
        "AWS_SECRET_ACCESS_KEY": "<your-aws-secret>",
        "AWS_REGION": "us-east-1",
        "VERCEL_TOKEN": "<your-vercel-token>",
        "GOOGLE_APPLICATION_CREDENTIALS": "<path-to-gcp-json>",
        "CLOUDFLARE_API_TOKEN": "<your-cf-token>",
        "CLOUDFLARE_ACCOUNT_ID": "<your-cf-account-id>"
      }
    }
  }
}

Cloudpulse MCP Server 工具

Scan all configured cloud platforms (AWS, Vercel, GCP, Cloudflare) and return a unified topology of active services including their endpoints and regions. Run this first to understand the infrastructure landscape.

Fetch logs from multiple cloud platforms (AWS CloudWatch + Vercel) for a given time window and optional trace ID, then merge them into a single chronological timeline. Use this to correlate errors across frontend and backend services.

Diagnose connectivity issues between a source service and a target resource. Checks Vercel environment variables, AWS Security Group inbound rules on the required port, and external API reachability. Returns a list of diagnostic results with actionable messages.

Query quota limits and current usage across configured cloud platforms. Highlights resources approaching or exceeding their limits (default warning threshold: 80%). Use this to proactively catch Lambda concurrency limits, Vercel plan caps, and similar issues before they cause outages.

概览

What is Cloudpulse Mcp Server?

CloudPulse is an open-source MCP Server that gives AI agents cross-cloud visibility through a single tool. It integrates with AWS, GCP, Vercel, and Cloudflare to provide a unified view of cloud resources, logs, and connectivity.

How to use Cloudpulse Mcp Server?

The server exposes four built-in tools: list_cloud_topology (scan all configured platforms and return a unified service map), get_correlated_logs (fetch and merge logs from multiple providers into one timeline), diagnose_service_link (check why service A can't reach resource B with security groups, CORS, env vars, authorized networks), and check_resource_limits (query quotas across all platforms and flag resources nearing limits). Configuration details for authentication and platform setup are not included in the README.

Key features of Cloudpulse Mcp Server

4 built-in cross-cloud diagnostic tools
Supports AWS, GCP, Vercel, and Cloudflare
Read-only by default for security
No credentials stored or logged
Unified topology and log merging
Service connectivity and quota checks

Use cases of Cloudpulse Mcp Server

AI agent troubleshooting cross-cloud service connectivity issues
Monitoring resource limits across AWS, GCP, Vercel, and Cloudflare
Aggregating and correlating logs from multiple providers in one timeline
Mapping cloud service dependencies and topology for incident response

常见问题

What platforms does Cloudpulse Mcp Server support?

It supports AWS (Lambda, RDS, S3, CloudWatch), GCP (Cloud Run, Cloud SQL, Cloud Logging), Vercel, and Cloudflare (Pages, Workers).

Is the server read-only?

Yes, by default the server operates in read-only mode. No destructive operations are exposed in the provided tools.

Are my credentials stored or logged?

No, according to the README, no credentials are stored or logged by the server.

What tools are available?

Four built-in tools: `list_cloud_topology`, `get_correlated_logs`, `diagnose_service_link`, and `check_resource_limits`.

Can it diagnose connectivity problems?

Yes, the `diagnose_service_link` tool checks why a service cannot reach a resource, examining security groups, CORS, environment variables, and authorized networks.

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