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com.mcparmory/grafana MCP Server

com.mcparmory/grafana

Manage Grafana dashboards, users, teams, alerts, data sources, and access control via MCP.

What is the com.mcparmory/grafana MCP server?

The Grafana MCP server enables AI agents to interact with Grafana APIs for monitoring and observability management. It provides tools to manage dashboards, users, teams, alerts, data sources, and access control, allowing you to automate Grafana administration and configuration tasks.

This server connects Claude and other AI agents to Grafana, letting you programmatically manage monitoring infrastructure. Use it to create and update dashboards, configure data sources, manage team access, set up alerts, and administer users—all through natural language or automated workflows.

How to install com.mcparmory/grafana

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "grafana": {
      "command": "uvx",
      "args": [
        "mcparmory-grafana"
      ]
    }
  }
}

Use cases

  • Automate dashboard creation and updates based on monitoring requirements
  • Manage Grafana user accounts, teams, and access permissions programmatically
  • Configure and test data sources for metrics collection
  • Set up and modify alert rules and notification channels
  • Audit and manage Grafana organization settings and access control

com.mcparmory/grafana MCP server FAQ

What is the Grafana MCP server?

It's an MCP server that exposes Grafana's API as tools, allowing AI agents to manage dashboards, users, teams, alerts, data sources, and access control without manual UI interaction.

Is it free to use?

Yes, the server itself is MIT-licensed and free. You need a Grafana instance (open-source or cloud) and valid API credentials to connect.

How do I install it in Cursor or Claude?

Install via pip (`pip install mcparmory-grafana`) or use uvx (`uvx mcparmory-grafana`), then add it to your MCP client config with your Grafana API token in the environment.

What authentication does it require?

You need a Grafana API token or Bearer token. Set it as an environment variable (e.g., `BEARER_TOKEN`) when configuring the server.

Can I use it with Grafana Cloud?

Yes, it works with any Grafana instance—self-hosted or Grafana Cloud—as long as you have API access and valid credentials.

What can I automate with this server?

You can create/update dashboards, manage users and teams, configure data sources, set up alerts, modify access control policies, and perform other administrative tasks via API.

README (reference)

Source of truth, from the repository.

<p align="center"> <img src="https://wjxawmrpsfuivlicnepc.supabase.co/storage/v1/object/public/newsletter/logo-armory-no-background.png" alt="MCP Armory" height="64"> </p> <h1 align="center">MCP Armory Registry</h1> <p align="center"> Production-ready MCP servers for popular APIs, generated by <a href="https://mcpblacksmith.com">MCP Blacksmith</a>. </p> <p align="center"> <a href="https://github.com/mcparmory/registry/stargazers"><img src="https://img.shields.io/github/stars/mcparmory/registry?style=flat&color=gold" alt="GitHub Stars"></a> <a href="https://github.com/mcparmory/registry/blob/main/servers/github/LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue" alt="License"></a> <img src="https://img.shields.io/badge/servers-79-8A2BE2" alt="Servers"> <img src="https://img.shields.io/badge/python-3.11+-3776AB?logo=python&logoColor=white" alt="Python 3.11+"> </p> <p align="center"> <a href="#servers">Servers</a> &middot; <a href="#install--usage">Install & Usage</a> &middot; <a href="#features">Features</a> &middot; <a href="#how-servers-are-generated">How it works</a> &middot; <a href="#license">License</a> </p>

MCP servers that connect AI agents to real-world APIs. Each server is a standalone Python package — generated from the upstream OpenAPI spec using MCP Blacksmith and tested against the live API before release. Hosted on MCP Armory or run independently.

<!-- SERVERS:BEGIN -->

Servers

🧠 AI & Machine Learning   ElevenLabs · Linkup · Parallel · Perplexity AI · Ragie · Replicate

📊 Analytics   Ahrefs · Datadog · Google Analytics · Google Search Console · Linkly · Mixpanel · PostHog

⛓️ Blockchain & Crypto   Alchemy NFT

💼 CRM & Sales   Apollo

💬 Communication   Atlassian Confluence · Google Gmail · MailerSend · Mailtrap · Postmark · Resend · Slack

🗄️ Data & Databases   Enigma · Pinecone

🛠️ Developer Tools   AgentQL · Apify · Bitbucket · Bright Data · Browserbase · BuiltWith · Canvas · CircleCI · Codacy · Contentful Management · ConvertAPI · E2B · Firecrawl · GitHub · GitLab · LaunchDarkly · Postman · Scrapingant · Semrush AppCenter · Sentry

📄 Documents & Printing   PDF.co

🛒 E-commerce   Shopify Admin

💰 Finance   Alpha Vantage · Polygon · Ramp

👥 HR & Recruiting   BambooHR

☁️ Infrastructure   Globalping · Grafana · PagerDuty · Rootly · Runpod

⚖️ Legal & Compliance   NetLicensing

🗺️ Maps & Location   Google Maps Platform · IP2Location.io IP Geolocation · OpenCage Geocoding

📣 Marketing   Customer.io Journeys Track · Klaviyo

🎬 Media & Entertainment   Canva · Perigon

✅ Productivity   Airtable · Asana · Atlassian Jira · ClickUp · Figma · Google Sheets · Miro · Notion · Outline · Shortcut

🔍 Search   Algolia Search · Google Search

📦 Storage   Box · Files.com · Google Drive

📌 Other   Close

More servers are being added continuously.

<!-- SERVERS:END -->

Install & Usage

Every server is a standalone PyPI package (mcparmory-<server-name>). Each server's own README.md has full credential setup and configuration instructions.

# With uvx (no install needed)
uvx mcparmory-github

# With pip
pip install mcparmory-github
mcparmory-github

MCP client configuration (Claude Desktop, Cursor, Codex, Claude Code):

{
  "mcpServers": {
    "github": {
      "command": "uvx",
      "args": ["mcparmory-github"],
      "env": {
        "BEARER_TOKEN": "ghp_your_token_here"
      }
    }
  }
}

Features

Every server in this registry provides:

  • Full API coverage — all endpoints from the OpenAPI spec are exposed as MCP tools
  • Authentication — API key, Bearer token, Basic auth, OAuth2, JWT, OpenID Connect, and mutual TLS
  • Multi-auth — servers that support multiple auth methods let you configure whichever you prefer
  • Pydantic validation — request parameters are validated before sending to the API
  • Resilience — configurable retries with exponential backoff, connection pooling, and timeouts
  • Response sanitization — optional redaction of sensitive fields from API responses

How servers are generated

Servers are generated by MCP Blacksmith, an automated pipeline that:

  1. Parses an OpenAPI specification
  2. Transforms operations through LLM-driven passes (naming, parameter filtering, enhancement, classification)
  3. Generates a complete MCP server with auth, models, validation, and configuration
  4. Tests every tool against the live API using an autonomous agent
  5. Deploys passing servers to this registry

The generator targets Python 3.11+ and uses FastMCP as the MCP framework.

Contributing

Servers are auto-generated — don't edit server code directly. If you find an issue, open a GitHub Issue describing:

  • Broken or deprecated endpoints
  • Missing or incorrect parameters
  • Authentication problems
  • Incorrect request/response models

We'll re-generate the affected server with the fix. To request a new server, open an issue with a link to the API's OpenAPI spec or documentation.

License

Each generated server is released under the MIT License. The underlying APIs have their own terms of service — see individual server READMEs for details.


<p align="center"> <a href="https://mcparmory.com">MCP Armory</a> &middot; <a href="https://mcpblacksmith.com">MCP Blacksmith</a> &middot; <a href="https://docs.mcpblacksmith.com/quickstart">Docs</a> </p>

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