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MCP Fabric is coming to market soon. The platform is still being completed. This site is here so you can explore the product and get in touch.

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Operations

Full monitoring, logging and dashboards — not a black box.

MCP Fabric includes a production operations stack: metrics, centralized logs and Grafana dashboards. You can see how services, traffic and automated processes behave — and you keep product audit as a separate control, not a screenshot of a chart.

What you can actually observe

Prometheus, Grafana and Loki are part of the platform deployment where the monitoring stack is enabled. This is operator operational visibility, not a organization BI product, and it does not replace product audit.

Metrics

Services expose Prometheus metrics. Grafana dashboards cover system health, application HTTP metrics, database performance and Traefik traffic.

Centralized logging

Logs are aggregated (Loki) across platform services so operators can follow failures without hopping container by container.

Operational dashboards

Provisioned Grafana dashboards are the deep ops view. Admin still shows automated process runs and operational overviews first — Grafana is not a fake marketing screenshot.

Alerts

Alertmanager watches the stack. Operational signals can also go out through platform notifications.

Product runs

Automated process execution stays visible in admin: starting point, steps, pauses for approval and result. That product trail is not the same as infrastructure logs.

Audit stays audit

Identity, policy and approval decisions remain in product audit. Ops metrics and logs explain health; they do not replace who did what.

Specialized monitors

Licensed Probe, SEO monitor and website checks add security/load jobs, indexation smoke and browser pass/fail — on top of the platform monitoring stack, not instead of it.

Ready to move beyond the chatbot?

Build AI that understands your business, works with your knowledge, follows your processes and can actually finish the job. You decide which actions are allowed, when a person must step in and how much AI usage your organization can consume.

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