mcp-grafana is a Doramagic Project Pack for MCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks. It links the upstream repository, source-backed manual, prompt preview, AI context, and risk boundaries so users can evaluate the project before installation.

What should I verify first?

Verify the MCP server command, permission scope, and rollback path in a non-primary host configuration first.. Keep credentials out of the first run, record expected output, define cleanup, and use public sample data before real workloads.

What is the main risk?

May increase setup, validation, or first-run risk for the user.. Use upstream documentation and a sandbox validation path before adoption.

MCP Tool Integration · Public

mcp-grafana

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

MCPTool callingHost configurationPermission boundariesAcceptance checks

Best fitDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Check whether this project matches your task before installing it.

What it can doMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot3.1k stars

365 forks · 87 contributors

Doramagic.ai Last verification date: 2026-05-31 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-05-31

What is mcp-grafana?

mcp-grafana helps connect external tools, services, or data sources to AI hosts that support MCP.
Best fit: Developers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.
Not for: Not for users who cannot change host configuration, grant tool permissions, or isolate network, file, and credential access.
Capability added to an AI workflow: MCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks
First safe verification step: Verify the MCP server command, permission scope, and rollback path in a non-primary host configuration first.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/grafana/mcp-grafana, https://github.com/grafana/mcp-grafana#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forDevelopers who need Claude, Cursor, Codex, or another MCP-capable AI host to call external tools safely.

Match the project to your task before installing it.

CapabilityMCP setup guidance, host configuration checks, tool permission boundaries, recovery steps, and acceptance checks

MCP tool integration project for safely connecting external tools, services, or data sources to an AI host.

Repositorygrafana/mcp-grafana

3.1k stars · 365 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Overview

Related topics: Installation, Authentication, Deployment Methods

Source: https://github.com/grafana/mcp-grafana / Human Manual

Installation

Related topics: Overview, Deployment Methods, Authentication

Source: https://github.com/grafana/mcp-grafana / Human Manual

Authentication

Related topics: Overview, Installation, Configuration Reference

Source: https://github.com/grafana/mcp-grafana / Human Manual

Dashboard Tools

Related topics: Datasource Tools, Utility Tools

Source: https://github.com/grafana/mcp-grafana / Human Manual

Datasource Tools

Related topics: Dashboard Tools, Alerting Tools

Source: https://github.com/grafana/mcp-grafana / Human Manual

Sources: https://github.com/grafana/mcp-grafana, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars3.1k stars

Forks365 forks

Contributors87 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using mcp-grafana with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Insturctions
github / github_issue
02
Security consideration: Prompt injection via dashboard data in MCP conte
github / github_issue
03
[Feature]: Add tools for Pyroscope
github / github_issue
04
Add tool to create Grafana short URLs (/goto/<uid>) via /api/short-urls
github / github_issue
05
`get_panel_image` should support `orgId` when rendering panels
github / github_issue
06
Feature Request: OAuth/SSO Authentication Support (Okta, Google, etc.)
github / github_issue
07
Feature request: pagination / chunking for query_loki_logs results
github / github_issue
08
v0.14.0
github / github_release
09
v0.13.1
github / github_release
10
v0.13.0
github / github_release
11
v0.12.1
github / github_release
12
v0.12.0
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

uvx mcp-grafana

Official start command · https://github.com/grafana/mcp-grafana#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

mcp-grafana Manual

Related topics: Installation, Authentication, Deployment Methods

Open the full manual

https://github.com/grafana/mcp-grafana Project Manual
Table of Contents
Overview
Related Pages
Introduction
Project Purpose and Scope
Architecture
Component Overview

Overview

Related topics: Installation, Authentication, Deployment Methods

Source: https://github.com/grafana/mcp-grafana / Human Manual

Installation

Related topics: Overview, Deployment Methods, Authentication

Source: https://github.com/grafana/mcp-grafana / Human Manual

Authentication

Related topics: Overview, Installation, Configuration Reference

Source: https://github.com/grafana/mcp-grafana / Human Manual

Dashboard Tools

Related topics: Datasource Tools, Utility Tools

Source: https://github.com/grafana/mcp-grafana / Human Manual

Datasource Tools

Related topics: Dashboard Tools, Alerting Tools

Source: https://github.com/grafana/mcp-grafana / Human Manual

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Capability evidence risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Maintenance risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.