When to use Grafana Assistant vs MCP vs GCX: Grafana MCP
Three AI tools people confuse: Assistant, MCP, and GCX. Last time I talked about the brain — Assistant. Now hand number one: the MCP server, the easy hand.
Grafana MCP — Model Context Protocol — lets any AI client reach into Grafana. The magic part: you bring your own brain.
Using MCP requires two pieces:
- The client is your AI app — the brain you bring: claude.ai, ChatGPT, Cursor.
- The server is the door into Grafana that exposes the tools.
There are two ways to get that server. The easiest is the Grafana Cloud hosted one — already running, auth built in, just connect and go. But you can also self-host the open-source one on your own infra.
So when do you reach for Grafana MCP?
- When you’re using hosted chat tools with no terminal — claude.ai, ChatGPT, your phone. No shell means no CLI, so MCP is the only way in.
- When you want to bolt Grafana onto a tool you already use — already in Cursor or Claude? Just add the server. No new workflow.
- When you want the best discovery out of the box — the tools describe themselves up front, so even smaller or cheaper models just know what’s available. No trial-and-error.
One honest catch: those tool definitions can eat some context if you load everything — but modern hosts fix that with lazy tool search.
MCP is deliberately curated — it doesn’t expose every corner of Grafana. So what do you do when you need the esoteric stuff? That’s exactly what the power hand, GCX, is for — next up.
Transcript
Three AI tools people confuse: Assistant, MCP, GCX. Last time, I talked about the brain — Assistant. Now hand number one: the MCP server, the easy hand.
Grafana MCP — Model Context Protocol — lets any AI client reach into Grafana. The magic part: you bring that AI client - you bring your own brain.
Using MCP requires two pieces. The client is your AI app — the brain you bring: claude.ai, ChatGPT, Cursor. The server is the door into Grafana that exposes the tools.
Two ways to get that server: the easiest way is to use the Grafana Cloud hosted one — already running, auth built in, just connect and go. But you can also self-host the open-source one on your own infra.
So when do you reach for Grafana MCP?
- When you’re using hosted chat tools with no terminal — claude.ai, ChatGPT, your phone. No shell means no CLI, so MCP is the only way in.
- When you want to bolt Grafana onto a tool you already use — already in Cursor or Claude? Just add the server. No new workflow.
- When you want the best discovery out of the box — the tools describe themselves up front, so even smaller or cheaper models just know what’s available. No trial-and-error.
One honest catch: those tool definitions can eat some context if you load everything — but modern hosts fix that with lazy tool search.
But MCP is deliberately curated — it doesn’t expose every corner of Grafana. So what do you do when you need the esoteric stuff? That’s exactly what the power hand is for. Next up is GCX.