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Connect AI to live VuNet observability data for metrics and model queries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "VuNet MCP HTTP Server" yet — see the docs or source repo.
Connect to the VuNet data source and query the API gateway request volume, error rate, and P95 latency for the past 24 hours, aggregated hourly.
Returns hourly aggregated key metrics to quickly assess service health.
List the available data models and fields in VuNet, focusing on objects related to Kubernetes clusters, nodes, and container performance.
Outputs relevant data models, field descriptions, and queryable objects for building follow-up queries.
Check whether the current VuNet MCP service connection is healthy and whether metric queries and data model browsing are available.
Returns connection status, available capabilities, and any connection issue alerts.
Store, manage, and analyze vCon conversation data with AI assistants.
Connect AI assistants to VkusVill services for data access and operations.
Access website feedback, visual bugs, and create GitHub issues with debug context.
Enable MCP-compatible models to control desktop apps over VNC remotely.
Query and update Virtuous CRM+ data with confirmation for write actions.
Detect and analyze objects in images with zero-shot vision models.