How to Use the Grafana MCP in CrewAI

Q: Is Grafana search functionality available to CrewAI?

Your agents use searchdashboards to find UIDs by tag or title. This is essential for agents that need to locate specific service health metrics.

Q: How do I restrict which Grafana tools my CrewAI agents use?

Use the toolfilter option in your agent setup. This limits the agents to only the tools necessary for their specific role.

Deploy a CrewAI team to monitor and resolve system issues using live Grafana observability tools.

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Connect Grafana MCP to CrewAI

Create your Vinkius account to connect Grafana to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Grafana with CrewAI

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Specialized monitoring agents in CrewAI

Assign a dedicated agent to poll `firing_alerts` every few minutes. This agent maintains a constant watch on your infrastructure status. When an alert fires, the monitor agent alerts the rest of the crew. They then coordinate to investigate the affected services.

Collaborative dashboard investigation

Have your research agent use `search_dashboards` to locate the right metrics. It then passes the UID to `get_dashboard` so the analyst agent can read the panel queries. This hand-off mimics human SRE behavior. Each agent focuses on a specific part of the troubleshooting process.

System-wide datasource verification

Use `list_datasources` to map out your available observability targets. CrewAI agents use this list to decide which metrics provider to query during an incident. Your crew stays updated on any changes to the monitoring setup. It ensures agents always pull data from the correct, active sources.

Setup guide

Set up Grafana MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Grafana tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Grafana Analyst",
    goal="Access and analyze Grafana data via MCP.",
    backstory="Expert analyst with direct Grafana access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Grafana transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Grafana Analyst",
        goal="Access and analyze Grafana data via MCP.",
        backstory="Expert analyst with direct Grafana access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Grafana transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Grafana. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Grafana MCP in CrewAI

Pass the server URL to your agent configuration. The agents will automatically register `firing_alerts` and other tools for collaborative use.

Yes. CrewAI uses shared memory to pass results between agents. Once one agent retrieves a dashboard, the others can act on that information.

Your agents use `search_dashboards` to find UIDs by tag or title. This is essential for agents that need to locate specific service health metrics.

Use the tool_filter option in your agent setup. This limits the agents to only the tools necessary for their specific role.

The server uses one-time endpoint tokens for authentication. Your sensitive dashboard and alert metadata are encrypted in transit and never cached by the crew.

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