Ask Claude if your stack is broken.
A Pingoru API key plugs into any MCP-compatible AI tool — Claude Desktop, Claude Code, Cursor, Cline, Zed, Goose — so your assistant answers status questions in real time across 6,000+ providers.
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What your AI assistant can ask
Once configured, your agent has these tools available. Read-only — Claude (or Cursor, etc.) cannot change your monitors or alerts through MCP.
provider_status() CatalogGet the current status and any active incidents for a status-page vendor.
"Is GitHub down right now?"
provider_components() CatalogList a provider's components with their current status; optionally filter to non-operational only.
"Which Cloudflare components are degraded?"
component_status() CatalogPinpoint the status of a single component by name (case-insensitive substring match).
"What's the status of EC2 us-east-1?"
provider_incidents() CatalogRecent incident history for a provider (last 1–30 days), with optional filter to a single component.
"Any AWS issues this week?"
incident_detail() CatalogFull timeline for one incident: every status update with timestamp, plus start/resolve times and duration.
"Walk me through the May 3 Stripe outage."
search_providers() CatalogFind providers by name or slug. Use when the agent does not know the exact slug.
"Look up that DBaaS — planetscale?"
my_monitors() AccountList all of the caller's monitored services with their current rolled-up health.
"What's the health of my entire stack?"
my_active_alerts() AccountOpen incidents on the caller's monitored services right now.
"Is anything I monitor broken right now?"
my_recent_incidents() AccountResolved incidents on the caller's monitors over the last N days (max 30).
"What burned us this week?"
Set it up in your AI tool
Pick your tool below. Copy the snippet, paste it into the config file shown, and restart your tool — your assistant will instantly know about the global catalog and your monitors.
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{
"mcpServers": {
"pingoru": {
"url": "https://mcp.pingoru.io/",
"headers": {
"Authorization": "Bearer pk_REPLACE_WITH_YOUR_KEY"
}
}
}
}Replace pk_REPLACE_WITH_YOUR_KEY with the real key
shown when you created it. Endpoint is https://mcp.pingoru.io/.
Don't see your tool? Use the bring-your-own-tool config →
Try one of these prompts
After connecting, paste any of these into your AI tool to see Pingoru in action.
"Is GitHub down right now?"
→ calls provider_status()
"Which Cloudflare components are degraded?"
→ calls provider_components()
"What's the status of EC2 us-east-1?"
→ calls component_status()
"Any AWS issues this week?"
→ calls provider_incidents()
"Walk me through the May 3 Stripe outage."
→ calls incident_detail()
"Look up that DBaaS — planetscale?"
→ calls search_providers()
"What's the health of my entire stack?"
→ calls my_monitors()
"Is anything I monitor broken right now?"
→ calls my_active_alerts()
FAQ
What is MCP?
Model Context Protocol — an open standard from Anthropic that lets AI assistants connect to external data sources and tools. Pingoru's MCP endpoint plugs into any MCP-compatible client (Claude Desktop, Claude Code, Cursor, Cline, Zed, Goose, and more) to give your assistant real-time status data on 6,000+ cloud and SaaS providers.
Which providers can my assistant ask about?
Out of the box, MCP can answer about (a) the 50 most-asked-about vendors — AWS, GitHub, Stripe, Cloudflare, Slack, Twilio, etc., and (b) any provider you have a monitor on. Add a free monitor for a vendor and the agent sees it on the next call. This gating is intentional: it stops a single Pro account from harvesting the whole 6,000+ catalog, which keeps the protocol focused on real-stack questions instead of bulk data export.
Which AI tools work with this?
Claude Desktop and Claude Code are the most polished. Cursor, Cline, Continue.dev, Zed, and Goose all have native MCP support. ChatGPT works via a community-maintained bridge. If your tool isn't listed, any MCP-compatible client can connect — point it at our SSE endpoint with a Bearer token.
What does it cost?
Included free with the Pro plan ($15/mo). Pro accounts get 500 calls per month across all keys — enough for an interactive Claude/Cursor session checking status questions a few times a day. Need more for a power-user workflow? Reach out and we can grant an override.
Is my data safe?
Read-only by design — Claude (or any agent) cannot pause monitors, acknowledge incidents, or change anything through MCP. Each request is authenticated by an API key you create and revoke from your dashboard. We log call metadata (timestamp, tool name, status, duration) for 90 days for forensics, never the response bodies.
Can I rate-limit my own keys?
Three layers of limits ship out of the box: 30 requests/minute burst per key, 500 calls/month per key, and 500 calls/month per account. Each layer returns a structured error with a reset timestamp so your agent can back off cleanly. Need more headroom? Reach out to support and we can grant a per-account override.
How fresh is the data?
Pingoru polls every status page on a 60-second cadence. Most provider tools run their own internal polling slower than that, so when GitHub posts an incident on their status page, your AI assistant sees it through MCP within 1-2 minutes.
Can I look up incidents from years ago?
No — incident lookback is capped at 30 days. For older history we point to the upstream vendor's status page. This keeps the protocol surface tight and avoids encouraging vendor-lock-in to our incident DB.
Can I write data through MCP?
Not in v1. Read-only by design. Write operations (pause monitor, acknowledge incident) raise consent and audit questions we want to think through carefully before exposing them to an agent loop.
My AI tool isn't in your list — can I still use this?
Yes. Any MCP-compatible client connects with a URL + Bearer token. The "My tool isn't here" tab in the setup section has the raw config you need.
Where do I report bugs?
Email [email protected] or open an issue at github.com/tomcrocker/cloudstatus.
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