Checkly Connector for AI agents.
8 live capabilities
Manage API uptime and synthetic testing through natural conversation.
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Why people use Checkly
Checkly for Faster API Uptime Monitoring
This Connector puts that data where you already work. You can just ask your agent for the latest status of your monitors or trigger a manual run during a deployment. You get immediate answers without ever leaving your chat window.
What Vinkius changes
You get a conversational interface for your entire monitoring and synthetic testing stack.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Quick health check
An engineer sees a spike in errors and asks the agent to trigger_check_run on the auth service to see if it's a transient blip.
- Real-world use case 02
Audit review
An SRE needs to verify if the production alerts are hitting the right Slack channel and uses list_checkly_alert_channels.
- Real-world use case 03
Performance deep dive
A developer wants to know why a specific API is slow and asks for the metrics from get_check_performance_metrics.
Complete set · 8capabilities
The complete Checkly capability set.
These are the exact actions your AI can choose when you ask it to work with Checkly.
01—04
4 capabilities in this set.
Part of 8 available through Checkly.
- 01 Capability
Get checkly account info
Pull core account and organization metadata to understand your workspace structure. Use this to see who has access and how your account is organized.
- 02 Capability
Get check performance metrics
Get specific performance data and response times for any given check. This helps you identify exactly when and where your application started slowing down.
- 03 Capability
Get check details
Retrieve full details for a specific monitor to see its current configuration. It's the fastest way to see the exact parameters of a specific test.
- 04 Capability
List checkly alert channels
See all configured alert destinations like Slack, Email, or PagerDuty. This ensures your team knows exactly where they'll receive critical notifications.
05—08
4 capabilities in this set.
Part of 8 available through Checkly.
- 05 Capability
List checkly checks
Get a full list of all your active API and Browser monitors. Use this to get a quick overview of everything you're currently tracking.
- 06 Capability
List check groups
View the different groups your checks are organized into. This helps you see how your monitoring is structured across different services.
- 07 Capability
List checkly heartbeats
List all heartbeat and cron monitors to ensure background tasks are running. It's a great way to verify that your nightly jobs are still active.
- 08 Capability
Trigger check run
Manually start a check run immediately to verify system health on demand. This is useful when you need to see how a system handles a specific load right now.
Set up in minutes
One URL. Then ask Checkly to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Checkly from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ZKVvNJK1bEgGdJP2vFYcWaZwHDzM0XtD3oz2UTx3/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Checkly, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Checkly for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ZKVvNJK1bEgGdJP2vFYcWaZwHDzM0XtD3oz2UTx3/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Checkly URL.
- Step 03
Save and start
Save the connection and enable Checkly in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"checkly": {
"url": "https://edge.vinkius.com/vk_preview_ZKVvNJK1bEgGdJP2vFYcWaZwHDzM0XtD3oz2UTx3/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Checkly
Open Agent mode in chat and ask: "Using Checkly, help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"checkly": {
"url": "https://edge.vinkius.com/vk_preview_ZKVvNJK1bEgGdJP2vFYcWaZwHDzM0XtD3oz2UTx3/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Checkly
Ask Copilot: "Using Checkly, help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"checkly": {
"url": "https://edge.vinkius.com/vk_preview_ZKVvNJK1bEgGdJP2vFYcWaZwHDzM0XtD3oz2UTx3/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Checkly
Open Cascade and ask: "Using Checkly, help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"checkly": {
"url": "https://edge.vinkius.com/vk_preview_ZKVvNJK1bEgGdJP2vFYcWaZwHDzM0XtD3oz2UTx3/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Checkly
Ask Cline: "Using Checkly, help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add checkly --transport http "https://edge.vinkius.com/vk_preview_ZKVvNJK1bEgGdJP2vFYcWaZwHDzM0XtD3oz2UTx3/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Checkly
Ask Claude: "Using Checkly, show me...". 8 tools are ready
Where the request belongs
Work Checkly can move forward.
This is for the person who lives in the terminal or the chat window and hates the dashboard fatigue of switching contexts to check on system health.
DevOps Engineer
Triggers manual checks and verifies system health during deployments.
SRE
Audits alert configurations and performance metrics to ensure high availability.
Backend Developer
Quickly checks API status and response times during debugging sessions.
QA Automation Engineer
Monitors the status of browser-based synthetic tests.
When one Connector is not enough
Carry the request into a workflow.
Combine Checkly with the systems that finish the task.
View all recipesCatch Frontend Downtime Early Using Connectors
Your landing page passed the Lighthouse audit but your checkout flow takes 11 seconds in Brazil because nobody runs synthetic checks from outside us-east-1
MCP Recipe for Faster Incident Response
Endpoints monitored, failures detected, incidents auto-created, root cause traced to the commit , respond to outages before users tweet
Track Frontend Performance Budgets via MCP
Deploys tracked, performance budgets enforced, Lighthouse scores logged, regressions flagged , guard your Core Web Vitals without manual audits
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsAssertible
Automate API testing and monitoring via Assertible. trigger deployments, run service tests, and sync specifications directly from any AI agent.
Honeybadger (Error Tracking)
Monitor app exceptions and uptime via Honeybadger. list projects, resolve faults, and track deployments.
Healthchecks.io
Monitor cron jobs and background tasks via Healthchecks.io. list checks, track pings, and manage alerts directly from any AI agent.
Dynatrace (APM and Observability)
Monitor and manage your Dynatrace environment. query metrics, track problems, manage entities, and automate observability workflows directly from your AI agent.
Cypress Cloud
Audit E2E testing via Cypress. monitor test runs, inspect spec instances, track flaky tests, and generate enterprise reports directly from any AI agent.
AppDynamics (Application Performance Monitor API)
Monitor application performance, business transactions, and infrastructure health rules directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep Checkly connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Checkly.
The practical details behind the request, access and result.
What can I do with the Checkly MCP?
You can use it to manage your monitoring stack through your AI client. This includes checking API uptime, pulling performance metrics, and auditing your alert configurations without leaving your chat interface.
Can I trigger manual checks with Checkly MCP?
Yes, you can ask your agent to run a check immediately. This is great for verifying system health during a deployment or after a hotfix.
How do I see my alert channels using Checkly MCP?
Just ask your agent to list your alert channels. It will pull all your configured destinations, such as Slack, Email, and PagerDuty, into one view.
Can Checkly MCP monitor my cron jobs?
Yes, it can. You can use it to list and monitor your heartbeat and cron jobs to ensure your background tasks are running as they should.
Does Checkly MCP show performance data?
It does. You can request specific performance metrics for any monitor to see response times and other key health data.
How do I connect Checkly MCP to my AI client?
Once you subscribe on Vinkius, you just need to provide your Checkly API Key and Account ID. Your agent will then be able to interact with your monitoring stack.
Can I trigger an API check manually through the agent?
Yes! Use the trigger_check_run capability with the unique check ID. The agent will instruct Checkly to run the test immediately from its global network.
How do I see the performance metrics for my homepage check?
Use the get_check_performance_metrics capability with the check ID. Your agent will fetch detailed analytics including success rates and response time percentiles.
Where do I find my Checkly API Key and Account ID?
Log in to your Checkly account and navigate to User Settings -> API Keys for the key. The Account ID can be found in the Account Settings section.
One connection away
Give your agent a direct line to Checkly.
Connect Checkly once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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