GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Cross-cloud observability for AI agents. Covers AWS, GCP, Vercel, and Cloudflare.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION, VERCEL_TOKEN, GOOGLE_APPLICATION_CREDENTIALS, GOOGLE_CLOUD_PROJECT, CLOUDFLARE_API_TOKEN, CLOUDFLARE_ACCOUNT_IDValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"cloudpulse": {
"command": "npx",
"args": [
"-y",
"cloudpulse-mcp"
],
"env": {
"AWS_ACCESS_KEY_ID": "your-value",
"AWS_SECRET_ACCESS_KEY": "your-value",
"AWS_REGION": "your-value",
"VERCEL_TOKEN": "your-value",
"GOOGLE_APPLICATION_CREDENTIALS": "your-value",
"GOOGLE_CLOUD_PROJECT": "your-value",
"CLOUDFLARE_API_TOKEN": "your-value",
"CLOUDFLARE_ACCOUNT_ID": "your-value"
}
}
}
}Run this in your terminal
claude mcp add cloudpulse --env AWS_ACCESS_KEY_ID=your-value --env AWS_SECRET_ACCESS_KEY=your-value --env AWS_REGION=your-value --env VERCEL_TOKEN=your-value --env GOOGLE_APPLICATION_CREDENTIALS=your-value --env GOOGLE_CLOUD_PROJECT=your-value --env CLOUDFLARE_API_TOKEN=your-value --env CLOUDFLARE_ACCOUNT_ID=your-value -- npx -y cloudpulse-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"cloudpulse": {
"command": "npx",
"args": [
"-y",
"cloudpulse-mcp"
],
"env": {
"AWS_ACCESS_KEY_ID": "your-value",
"AWS_SECRET_ACCESS_KEY": "your-value",
"AWS_REGION": "your-value",
"VERCEL_TOKEN": "your-value",
"GOOGLE_APPLICATION_CREDENTIALS": "your-value",
"GOOGLE_CLOUD_PROJECT": "your-value",
"CLOUDFLARE_API_TOKEN": "your-value",
"CLOUDFLARE_ACCOUNT_ID": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"cloudpulse": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"cloudpulse-mcp"
],
"env": {
"AWS_ACCESS_KEY_ID": "your-value",
"AWS_SECRET_ACCESS_KEY": "your-value",
"AWS_REGION": "your-value",
"VERCEL_TOKEN": "your-value",
"GOOGLE_APPLICATION_CREDENTIALS": "your-value",
"GOOGLE_CLOUD_PROJECT": "your-value",
"CLOUDFLARE_API_TOKEN": "your-value",
"CLOUDFLARE_ACCOUNT_ID": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
AWS_REGION envGOOGLE_APPLICATION_CREDENTIALS envGOOGLE_CLOUD_PROJECT envCLOUDFLARE_ACCOUNT_ID envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The publisher (lhf552004) is not the repo owner (Galadriel-Tech-Solutions); someone else may have listed it
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, VERCEL_TOKEN, CLOUDFLARE_API_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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": " ", "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": " ", "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 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_linkCheck why service A can't reach resource B.
Input:
source_service * – "vercel" | "lambda" | "ec2" | ... target_resource * – " : " e.g. "aws-rds:my-db", "external-api:https://..." port – auto-detected (5432 for RDS, 443 for APIs, ...) vercel_project aws_region
Checks performed:
DATABASE_URL / DB_URLcheck_resource_limitsQuery quotas and flag resources nearing their limits.
Input (all optional):
platforms – filter platforms warn_threshold – usage % to warn at (default 80) aws_region
| 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 |
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/
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
src/providers/ /index.ts exporting:is Configured(): booleansrc/tools/CloudPlatform union in src/types.tsMIT © CloudPulse Contributors