agentleFS
grafanagrafana/skills/skills/grafana-cloud/assistant-mcp/SKILL.md

assistant-mcp

Skill302 starsChanged 19 days agoApache-2.0View on GitHub

Connect AI coding agents (Claude Code, Cursor, VS Code, OpenAI Codex) to Grafana Cloud via the `mcp-grafana` Model Context Protocol server. Installs the server with `go install`, generates a Grafana service-account token, wires `~/.claude/settings.json` or `~/.cursor/mcp.json` with the `command` + `env` block, runs `--disable-write` for safer read-only sessions, switches to SSE transport for team-shared / VS Code setups, and verifies with `/mcp` + a `list_datasources` round-trip. Use when connecting Claude Code to Grafana, setting up MCP for Grafana, configuring the Grafana MCP server, using Grafana tools in Cursor/VS Code, querying Grafana from an AI agent, sharing the MCP server across a team — even when the user says "give my agent Grafana access", "let Claude see my metrics", or "Cursor + Grafana" without saying "MCP".

  • Reads credentials
  • Installs packages

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Check GRAFANA_URL has no trailing slash

    line 60
  2. Distinctive:

    Verify the same way — Cursor surfaces MCP servers in its agent panel.

    line 83
  3. Very specific:

    Use --disable-write for shared environments and CI.

    line 92

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Grafana Cloud MCP Server Setup

The Grafana MCP server exposes Grafana Cloud capabilities as tools that AI agents can call via the Model Context Protocol. Agents can then query metrics, search dashboards, manage alerts, investigate incidents, and interact with Fleet Management without leaving the coding environment.

Transports: stdio (agent spawns the server as a subprocess, simplest), or SSE (server runs independently, agents connect via HTTP — see references/sse-transport.md).

Common Workflows

Connecting Claude Code to Grafana (stdio)

# 1. Install the server
go install github.com/grafana/mcp-grafana/cmd/mcp-grafana@latest

# 2. Verify the binary
mcp-grafana --version
# If "command not found": ensure $GOPATH/bin (or $HOME/go/bin) is on PATH.
  1. Get a service-account token: Grafana Cloud → Administration → Service Accounts → create with Viewer role (add Editor only if you need writes) → generate token. Note the Grafana URL (e.g. https://myorg.grafana.net).
  2. Wire ~/.claude/settings.json (or project-local .claude/settings.json):

    {
      "mcpServers": {
        "grafana": {
          "command": "mcp-grafana",
          "args": ["--disable-write"],
          "env": {
            "GRAFANA_URL": "https://myorg.grafana.net",
            "GRAFANA_API_KEY": "glsa_xxxx"
          }
        }
      }
    }

    --disable-write is the safer default — drop it once you've verified the read path works.

  3. Restart Claude Code, then verify:

    /mcp

    The grafana server should appear with its tool list. Then ask:

    What data sources are configured in my Grafana instance?

    A clean response = working. If the tool call fails:

    • Check GRAFANA_URL has no trailing slash
    • Confirm the API key hasn't expired
    • Re-run with mcp-grafana --debug to see raw request/response

Connecting Cursor

Same Grafana token. Settings → Features → MCP Servers (or edit ~/.cursor/mcp.json):

{
  "mcpServers": {
    "grafana": {
      "command": "mcp-grafana",
      "args": ["--disable-write"],
      "env": {
        "GRAFANA_URL": "https://myorg.grafana.net",
        "GRAFANA_API_KEY": "glsa_xxxx"
      }
    }
  }
}

Verify the same way — Cursor surfaces MCP servers in its agent panel; run a query like "list dashboards tagged kubernetes".

Sharing the server across a team (SSE)

Switch from stdio to SSE so the server runs once and many agents connect to it. Full setup with VS Code config in references/sse-transport.md.

Security considerations

  • API keys belong in env vars or a secrets manager — never in committed files.
  • Use --disable-write for shared environments and CI; only lift it on the specific machine where the agent should be allowed to mutate Grafana.
  • Scope service-account permissions to the minimum: Viewer is enough for queries and dashboard reads. Only grant Editor when the agent needs to create dashboards or annotations.
  • Rotate tokens periodically via Administration → Service Accounts.

References

  • references/tools.md — full list of MCP tools exposed (query / dashboard / alerting / Fleet Management / annotations) and how to discover the live set
  • references/sse-transport.md — SSE setup for team sharing and VS Code, with stdio-vs-SSE decision matrix + common failure modes
  • references/a2a.md — Agent-to-Agent (A2A) protocol for delegating reasoning to the Grafana Assistant (vs direct tool calls via MCP)

External resources

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