Cross-cloud observability for AI agents. Covers AWS, GCP, Vercel, and Cloudflare.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-lhf552004-cloudpulse": {
"command": "<see-readme>",
"args": []
}
}
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Cross-cloud observability for AI agents. Covers AWS, GCP, Vercel, and Cloudflare.
No automated test available for this server. Check the GitHub README for setup instructions.
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Cross-cloud infrastructure visibility for AI agents. Diagnose issues across AWS, Vercel, GCP, and Cloudflare without ever leaving your editor.
| Pain point | CloudPulse fix |
|---|---|
| Frontend error on Vercel → must open AWS console | get_correlated_logs merges both timelines automatically |
| AI can't see if an SG blocks port 5432 | diagnose_service_link inspects the security group rules live |
| Hitting Lambda concurrency limits silently | check_resource_limits warns at 80% usage |
| Topology unknown before debugging | list_cloud_topology maps every active service in seconds |
npx cloudpulse-mcp
The server auto-detects credentials already present on your machine (AWS CLI, environment variables, etc.).
Claude Desktop – add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"cloudpulse": {
"command": "npx",
"args": ["-y", "cloudpulse-mcp"],
"env": {
"VERCEL_TOKEN": "<your-vercel-token>",
"AWS_PROFILE": "default",
"AWS_REGION": "us-east-1"
}
}
}
}
Cursor – add to .cursor/mcp.json in your project:
{
"mcpServers": {
"cloudpulse": {
"command": "npx",
"args": ["-y", "cloudpulse-mcp"],
"env": {
"VERCEL_TOKEN": "<your-vercel-token>",
"AWS_REGION": "us-east-1"
}
}
}
}
VS Code + GitHub Copilot (Agent Mode) – requires VS Code 1.99+ and the GitHub Copilot extension.
First, build the project:
npm run build
Then create .vscode/mcp.json in this repository:
{
"servers": {
"cloudpulse": {
"type": "stdio",
"command": "node",
"args": ["${workspaceFolder}/dist/index.js"],
"env": {
"VERCEL_TOKEN": "${env:VERCEL_TOKEN}",
"AWS_REGION": "${env:AWS_REGION}",
"AWS_PROFILE": "${env:AWS_PROFILE}"
}
}
}
}
${env:VAR} reads from your shell environment — no secrets in source control.
To use: open Copilot Chat, switch to Agent mode, click Select Tools and enable the CloudPulse tools, then ask naturally:
Why can't my Vercel project reach AWS RDS instance "my-db"?
CloudPulse follows a read-only, no-storage policy:
| Credential | How to provide |
|---|---|
| AWS | AWS_ACCESS_KEY_ID + AWS_SECRET_ACCESS_KEY, or AWS_PROFILE, or EC2 instance role |
| Vercel | VERCEL_TOKEN (personal access token from vercel.com/account/tokens) |
| Vercel Team | VERCEL_TEAM_ID (optional) |
| GCP | GOOGLE_APPLICATION_CREDENTIALS |
| Cloudflare | CLOUDFLARE_API_TOKEN + CLOUDFLARE_ACCOUNT_ID |
No credentials are logged or stored. All values are read from environment variables at call time.
list_cloud_topologyScan all configured platforms and return a unified service map.
Input (all optional):
platforms – ["aws", "vercel"] filter platforms
aws_region – "us-east-1"
get_correlated_logsFetch and merge logs from Vercel + AWS