Connectors in groundcover
Admins control which connectors the org can use, and engineers
connect their own accounts. Supercharged Agent Mode acts in
those tools, with their credentials, within their permissions.
Supercharged SDLC with telemetry context
Users can extend the impact of their observability data to the rest of the application development and agentic stack. Any agent. Any app with an MCP.
Investigate and act, in one thread
Your engineer traces an issue in groundcover and pushes a fix through Cursor from the same conversation. No context switch required.
User-scoped permissions
Agent Mode acts with each engineer's own credentials. Every action is limited to what that engineer can already do.
Investigate and fix, without switching tools
Example flow:
- Trace a latency spike to a hardcoded port conflicting with the Kubernetes manifest.
- Query Agent Mode via MCP
- Asks Cursor to push the fix.
- All from the same conversation.
Enterprise-grade connectors controls
- Roles-based-access-control (RBAC) scopes user authorization
to admin-established level. - Disable a connector and Agent Mode stops using it for
everyone, without deleting existing credentials. - Connectors are managed distinctly from Integrations (data
sources flowing into groundcover)
- Roles-based-access-control (RBAC) scopes user authorization
Connect the tools your team runs on
- Agentic-first: Run Cursor's cloud coding agent on your repos
from inside Agent Mode. Diagnose in groundcover, push the
fix in Cursor. Same for GitHub Copilot, Claude, Codex, etc. - SaaS & productivity: Slack, Linear, Jira, and more need the
context of your telemetry data. - MCP: Connect any MCP-compatible server to bring internal
tools into Agent Mode: deployment pipelines, runbooks, or
incident systems your team built.
- Agentic-first: Run Cursor's cloud coding agent on your repos
Connected and context-rich Observability for what’s next.
Data stays in your infrastructure. Context powers your whole team. No surprises on the bill.
Give your engineers a direct path from investigation to action.
Explore More
groundcover products
Discover additional groundcover capabilities that work seamlessly with Synthetics.
Synthetic performance monitoring
Proactively simulate user journeys and API flows to detect issues before your customers do, with no code changes required.
LLM Observability
Observability for LLM and agent workflows, delivering real time visibility into reasoning paths, token usage, tool calls, and response quality with no code changes.
Migration
Move from your existing observability stack to groundcover without friction, with guided migration paths and full coverage from day one.
Observability
for what comes next.
Start in minutes. No migrations. No data leaving your infrastructure. No surprises on the bill.
