Cross-cloud observability for AI agents. Covers AWS, GCP, Vercel, and Cloudflare.
Connect Cloudpulse to Claude, Cursor or any other MCP client and it stops being a tab you switch to. Cross-cloud observability for AI agents. Covers AWS, GCP, Vercel, and Cloudflare. The cloudpulse mcp server is what makes that connection.
The server auto-detects credentials already present on your machine (AWS CLI, environment variables, etc.).
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
list_cloud_topology — Scan all configured platforms and return a unified service mapget_correlated_logs — Fetch and merge logs from Vercel + AWS CloudWatch into one timelinediagnose_service_link — The diagnose_service_link tool exposed by this servercheck_resource_limits — The check_resource_limits tool exposed by this serverConfiguration is passed through the environment: VERCEL_TOKEN, AWS_PROFILE, AWS_REGION, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, VERCEL_TEAM_ID, CLOUDFLARE_API_TOKEN, CLOUDFLARE_ACCOUNT_ID. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
The server ships on npm as cloudpulse-mcp, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Cloudpulse's toolset — list_cloud_topology, get_correlated_logs, diagnose_service_link and 1 more — is a fair guide to whether it matches your workflow. It is maintained by lhf552004; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| list_cloud_topology | Scan all configured platforms and return a unified service map. |
| get_correlated_logs | Fetch and merge logs from Vercel + AWS CloudWatch into one timeline. |
| diagnose_service_link | The diagnose_service_link tool exposed by this server. |
| check_resource_limits | The check_resource_limits tool exposed by this server. |
{
"mcpServers": {
"cloudpulse": {
"command": "npx",
"args": ["-y", "cloudpulse-mcp"],
"env": {
"VERCEL_TOKEN": "your-value",
"AWS_PROFILE": "your-value",
"AWS_REGION": "your-value",
"AWS_ACCESS_KEY_ID": "your-value",
"AWS_SECRET_ACCESS_KEY": "your-value",
"VERCEL_TEAM_ID": "your-value",
"CLOUDFLARE_API_TOKEN": "your-value",
"CLOUDFLARE_ACCOUNT_ID": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| VERCEL_TOKEN | Credential the server authenticates with. | Yes |
| AWS_PROFILE | Configuration value read at startup. | Optional |
| AWS_REGION | Configuration value read at startup. | Optional |
| AWS_ACCESS_KEY_ID | Credential the server authenticates with. | Yes |
| AWS_SECRET_ACCESS_KEY | Credential the server authenticates with. | Yes |
| VERCEL_TEAM_ID | Configuration value read at startup. | Optional |
| CLOUDFLARE_API_TOKEN | Credential the server authenticates with. | Yes |
| CLOUDFLARE_ACCOUNT_ID | Configuration value read at startup. | Optional |
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