Cloudpulse Mcp Server

CloudPulse MCP Server

Cross-cloud infrastructure visibility for AI agents. Diagnose issues across AWS, Vercel, GCP, and Cloudflare without ever leaving your editor.

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Why CloudPulse?

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

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Quick Start

1. Install / run with npx

npx cloudpulse-mcp

The server auto-detects credentials already present on your machine (AWS CLI, environment variables, etc.).

2. Configure your AI client

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"?

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Credentials & Security

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.

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Available Tools

list_cloud_topology

Scan all configured platforms and return a unified service map.

Input (all optional):
  platforms       – ["aws", "vercel"]  filter platforms
  aws_region      – "us-east-1"

get_correlated_logs

Fetch and merge logs from Vercel + AWS CloudWatch into one timeline.

Input:
  start_time *    – ISO-8601 or epoch ms  e.g. "2024-06-01T10:00:00Z"
  end_time        – defaults to now
  trace_id        – filter by trace/request ID across all sources
  aws_log_group_prefix  – default "/aws/lambda"
  vercel_project  – project name or ID
  aws_region

diagnose_service_link

Check why service A can't reach resource B.

Input:
  source_service *  – "vercel" | "lambda" | "ec2" | ...
  target_resource * – "<type>:<id>"  e.g. "aws-rds:my-db", "external-api:https://..."
  port              – auto-detected (5432 for RDS, 443 for APIs, ...)
  vercel_project
  aws_region

Checks performed:

• Vercel env vars contain a DATABASE_URL / DB_URL
• AWS Security Group allows inbound TCP on the required port
• External API HEAD reachability test

check_resource_limits

Query quotas and flag resources nearing their limits.

Input (all optional):
  platforms        – filter platforms
  warn_threshold   – usage % to warn at (default 80)
  aws_region

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Roadmap

Phase	Status	Scope
1 – MVP	✅ Done	Vercel + AWS (Lambda, RDS, CloudWatch, Security Groups, S3)
2 – Extend	✅ Done	GCP Cloud Run + Cloud SQL + Logging; Cloudflare Workers + Pages; S3 CORS
3 – Intelligence	🔜	Pre-built diagnostic playbooks for CORS, 504 timeout, cold-start loops

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Development

git clone https://github.com/Galadriel-Tech-Solutions/cloudpulse-mcp
cd cloudpulse-mcp
npm install
npm run dev        # run from source with tsx
npm run build      # compile to dist/

Project structure

src/
├── index.ts                     # MCP server + tool registration
├── types.ts                     # shared domain types
├── utils.ts                     # concurrency, formatting helpers
├── providers/
│   ├── aws/
│   │   ├── index.ts             # client factory + isAWSConfigured()
│   │   ├── cloudwatch.ts        # CloudWatch Logs
│   │   ├── lambda.ts            # Lambda function listing
│   │   ├── rds.ts               # RDS/Aurora instances & clusters
│   │   ├── ec2.ts               # Security Group inspection
│   │   ├── s3.ts                # S3 buckets + CORS checks
│   │   └── quotas.ts            # Service Quotas API
│   ├── gcp/
│   │   ├── index.ts             # isGCPConfigured() + resolveGCPProject()
│   │   ├── cloud-run.ts         # Cloud Run services
│   │   ├── cloud-sql.ts         # Cloud SQL instances (sqladmin v1beta4)
│   │   └── logging.ts           # Cloud Logging
│   ├── cloudflare/
│   │   └── index.ts             # Pages, Workers, Worker tail logs (WebSocket)
│   └── vercel/
│       └── index.ts             # Vercel REST API v9
└── tools/
    ├── list-cloud-topology.ts
    ├── get-correlated-logs.ts
    ├── diagnose-service-link.ts
    └── check-resource-limits.ts

Adding a new cloud platform

1. Create src/providers/<platform>/index.ts exporting:
   • is<Platform>Configured(): boolean
   • Provider-specific data functions
2. Wire the functions into the relevant tools under src/tools/
3. Add the platform name to the CloudPlatform union in src/types.ts

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License

MIT © CloudPulse Contributors