MCP.so
登录
C

Cloudpulse MCP Server

@Galadriel-Tech-Solutions

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.

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

4

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

1

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).

2

Is the server read-only?

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

3

Are my credentials stored or logged?

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

4

What tools are available?

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

5

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.

评论

云与基础设施 分类下的更多 MCP 服务器