# 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](https://docs.groundcover.com/getting-started/groundcover-mcp/getting-started-prompts) and [Real-world Use Cases](https://docs.groundcover.com/getting-started/groundcover-mcp/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](https://docs.groundcover.com/getting-started/groundcover-mcp/configure-groundcovers-mcp-server) for setup instructions and client-specific guides.