Can my agent search for specific dashboards in my Grafana instance?

Yes. Use the 'search_dashboards' tool. You can provide an optional query string to match titles or tags. The agent will return basic info including the unique UID required for deeper inspection.

How do I extract the PromQL or SQL queries from a dashboard panel via chat?

Use the 'get_dashboard' tool with the dashboard UID. Your agent will retrieve the full JSON configuration, including all panels and their underlying data queries, enabling you to review the exact metrics logic natively.

Can I see firing alerts through the agent?

Absolutely. Use the 'list_alerts' tool. The agent retrieves all configured alert rules and their current statuses, allowing you to identify which monitors are currently in a firing state synchronousy.

Grafana MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes

Name: Grafana
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 4 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Grafana through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Grafana Assistant",
            instructions=(
                "You help users interact with Grafana. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Grafana"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Grafana MCP Server

Connect your Grafana instance to any AI agent and take full control of your application observability, dashboard inspections, and alerting workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 4 tools from Grafana through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Grafana, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Dashboard Discovery Orchestration — Search for Grafana dashboards by title or tag to retrieve unique UIDs and metadata natively within your chat
Panel & Query Inspection — Retrieve the full configuration of any dashboard by UID, extracting precise PromQL, LogQL, or SQL queries and panel layouts flawlessly
Data Source Auditing — List all configured data sources including Prometheus, Loki, CloudWatch, and SQL databases to verify connectivity boundaries securely
Alert Monitoring Oversight — Enumerate active alert rules and retrieve current firing states to monitor system health and resolve incidents synchronously
Observability Navigation — Analyze specific localized variables decoding active monitoring routes and extracting structural constraints from your Grafana environment
SRE Command Center — Verify dashboard UIDs and retrieve query strings to debug performance regressions or analyze log patterns using natural language

The Grafana MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Grafana to OpenAI Agents SDK via MCP

Follow these steps to integrate the Grafana MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 4 tools from Grafana

Why Use OpenAI Agents SDK with the Grafana MCP Server

OpenAI Agents SDK provides unique advantages when paired with Grafana through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Grafana + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Grafana MCP Server delivers measurable value.

Automated workflows: build agents that query Grafana, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Grafana, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Grafana tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Grafana to resolve tickets, look up records, and update statuses without human intervention

Grafana MCP Tools for OpenAI Agents SDK (4)

These 4 tools become available when you connect Grafana to OpenAI Agents SDK via MCP:

firing_alerts

Returns alerting rules that are currently in "firing" state, including their labels and annotations. Get currently firing alerts from Grafana Unified Alerting

get_dashboard

Requires the dashboard UID, which you can get from search_dashboards. Get full dashboard configuration including panels and queries

list_datasources

) are available in this Grafana instance. List all configured data sources in Grafana

search_dashboards

Returns basic info including the UID. To inspect the panels and queries of a dashboard, use get_dashboard with the uid. Search Grafana dashboards by title or tag

Example Prompts for Grafana in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Grafana immediately.

"Search for dashboards tagged with 'production'"

"Show me the queries for dashboard 'abc-123'"

"Are there any firing alerts right now?"

Troubleshooting Grafana MCP Server with OpenAI Agents SDK

Common issues when connecting Grafana to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Grafana + OpenAI Agents SDK FAQ

Common questions about integrating Grafana MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.