groundcover MCP

Supercharge your AI agents with o11y superpowers using the groundcover MCP server. Bring logs, traces, metrics, events, K8s resources, and more directly into your agent’s context — and troubleshoot side by side with your AI assistant to solve issues in minutes.

Status: Work in progress. We keep adding tools and polishing the experience. Got an idea or question? Ping us on Slack!

What is MCP?

MCP (Model Context Protocol) is an open standard that enables AI tools to access external data sources like APIs, observability platforms, and documentation directly within their working context. MCP servers expose these resources in a consistent way, so the AI agent can query and use them as needed to streamline workflows.

groundcover’s MCP server brings your live observability data into the picture - making your agents smarter, faster, and more accurate.

How Can groundcover's MCP Help You and Your Agent?

By connecting your agent to groundcover’s MCP server, you enable it to:

• Query live logs, traces, and metrics for a workload, container, or issue.

• Run root cause analysis (RCA) on issues, right inside your IDE or chat interface.

• Auto-debug code with observability context built in.

• Monitor deployed code and validate fixes without switching tools.

See examples in our Getting-started Prompts and Real-world Use Cases.

Install groundcover's MCP Server

Set up is quick and agent-friendly. We support both OAuth (recommended) and API key flows.

Head to Configure groundcover's MCP Server for setup instructions and client-specific guides.