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Create and manage HTTP jobs, schedules, buffers, and alerts in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "@fliq/mcp" yet — see the docs or source repo.
Create a scheduled job that sends a POST request to https://api.example.com/report every Monday at 9 AM, and send an alert to Slack channel #ops if it fails.
Returns the created scheduled HTTP job details, including frequency, request method, and failure alert settings.
Set up a rate-limited buffer for webhook requests to https://api.example.com/webhook, limiting them to 60 requests per minute and queueing any excess requests.
Returns the rate-limited buffer configuration, including the rate limit, queue behavior, and target endpoint.
Add an alert channel so that when a job fails 3 times in a row, an email is sent to [email protected], and apply this rule to all production jobs.
Returns the created alert channel and rule, and shows which jobs the rule has been applied to.
Schedule and run HTTP jobs with captured responses from your AI agent.
Search Google Flights data to compare itineraries and plan trips faster.
Schedule recurring and one-time jobs with retries, priorities, and dependencies.
Create, manage, and persist scheduled prompt jobs with optional execution notifications.
Manage and monitor cron jobs with natural language through MCP.
Run fal.ai models and manage media generation workflows via MCP.