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Cross-cloud observability for AI agents. Covers AWS, GCP, Vercel, and Cloudflare.
npx @getmcp/cli add io.github.lhf552004/cloudpulseRequires Node.js 18+. Community-contributed server. Review source before installing.
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"io.github.lhf552004/cloudpulse": {
"command": "npx",
"args": [
"-y",
"cloudpulse-mcp"
],
"env": {
"AWS_ACCESS_KEY_ID": "",
"AWS_SECRET_ACCESS_KEY": "",
"AWS_REGION": "",
"VERCEL_TOKEN": "",
"GOOGLE_APPLICATION_CREDENTIALS": "",
"GOOGLE_CLOUD_PROJECT": "",
"CLOUDFLARE_API_TOKEN": "",
"CLOUDFLARE_ACCOUNT_ID": ""
}
}
}
}Ephemeral data sandbox for AI workflows with guardrails and security
AI knowledge graph for architecture, portfolio, and digital strategy management.
Built-in MCP server for ArcadeDB multi-model database (graph, document, vector, time-series)
Structured failure knowledge for AI agents — dead ends, workarounds, error chains