Compatible with every major AI agent and IDE
What is the Cronitor (Cron Monitoring) MCP Server?
Connect Cronitor to your AI agent to gain full visibility into your background jobs, heartbeats, and website uptime through natural conversation.
What you can do
- Monitor Management — List, create, and update monitors for cron jobs, heartbeats, and health checks across your entire infrastructure.
- Real-time Telemetry — Send pings and job state updates (run, complete, fail) directly to track execution lifecycles.
- Performance Insights — Query metrics, aggregates, and site analytics to understand latency, success rates, and system health.
- Incident Response — Track active issues, manage status pages, and create maintenance windows to silence alerts during deployments.
- Infrastructure Control — Organize monitors into groups, manage notification settings, and audit API keys.
How it works
- Subscribe to this server
- Enter your Cronitor API Key
- Start monitoring your stack from Claude, Cursor, or any MCP-compatible client
No more jumping between dashboards to check if your nightly backups finished or why a heartbeat is missing. Your AI acts as a 24/7 SRE assistant.
Who is this for?
- DevOps Engineers — instantly check monitor statuses and silence alerts during maintenance without leaving the terminal.
- Backend Developers — verify cron job performance and send telemetry pings directly from the code editor.
- SRE & Ops Leads — manage status pages and track incident history across multiple environments.
Built-in capabilities (44)
Perform bulk actions on issues
Clone an existing monitor
Create an API key
Create an environment
Create a new monitor group
Create a new issue
Schedule a maintenance window
Create a new monitor
Create a notification list
Create a RUM site
Create a status page
Create a status page component
Delete an API key
Delete a monitor group
Delete a monitor
Delete RUM sites
Delete status pages
Delete status page components
Retrieve rolled-up aggregates
Requires at least one field parameter. Retrieve performance metrics
Retrieve a specific monitor
Get site errors
List API keys
List environments
List monitor groups
List issues and incidents
List or search monitors
List notification lists
List RUM sites
List status page components
List status pages
Bulk pause or resume a group of monitors
Use 0 to resume. Pause or resume a monitor
Query site analytics
link. Send telemetry events (pings, metrics)
Update an API key
Update an environment
Update a monitor group
Update an issue state
Create or update monitors in bulk
Update a notification list
Update RUM sites
Update status pages
Update status page components
Why Vercel AI SDK?
The Vercel AI SDK gives every Cronitor (Cron Monitoring) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 44 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cronitor (Cron Monitoring) integration everywhere
- —
Built-in streaming UI primitives let you display Cronitor (Cron Monitoring) tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cronitor (Cron Monitoring) in Vercel AI SDK
Cronitor (Cron Monitoring) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Cronitor (Cron Monitoring) to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Cronitor (Cron Monitoring) in Vercel AI SDK
The Cronitor (Cron Monitoring) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 44 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Cronitor (Cron Monitoring) for Vercel AI SDK
Every tool call from Vercel AI SDK to the Cronitor (Cron Monitoring) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I manually signal that a job has finished successfully?
You can use the send_telemetry tool. Provide the monitor_key and set the state to 'complete'. This will immediately update Cronitor with the job's success status.
Is it possible to silence alerts for a specific monitor during maintenance?
Yes! Use the pause_monitor tool with the monitor_key and the number of hours you want to pause it. Alternatively, use create_maintenance_window for broader scheduling.
How do I check for recent errors on my monitored websites?
Use the get_site_errors tool. It retrieves the most recent error logs and failure details for a specific site monitor, helping you debug downtime quickly.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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