How to Use the Dynatrace (APM and Observability) MCP in CrewAI

Q: How do I assign Dynatrace (APM and Observability) tools to specific CrewAI agents?

Pass your Vinkius MCP endpoint URL to the MCPServerHTTP class. Use the tool filter option to give your triage agent listproblems while limiting your remediation agent to closeproblem.

Q: Can CrewAI agents collaborate to resolve complex Dynatrace (APM and Observability) incidents?

Yes, one agent can monitor alerts using listproblems while another queries telemetry with querymetrics. They share context dynamically to locate and fix the root cause.

Q: Can my crew create new monitoring dashboards automatically?

Yes, your documentation agent can call createdashboard when a new service is deployed. The crew configures the layout to display the metrics returned by listmetrics.

Deploy a crew of autonomous AI agents to monitor, analyze, and resolve Dynatrace incidents using CrewAI.

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Connect Dynatrace (APM and Observability) MCP to CrewAI

Create your Vinkius account to connect Dynatrace (APM and Observability) 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 Dynatrace (APM and Observability) with CrewAI

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Perplexity

Triage complex infrastructure outages

`list_problems` alerts your lead triage agent to a new infrastructure incident. This agent delegates the investigation, tasking a specialist agent to gather context from the affected systems. The specialist agent runs `get_problem` and queries related metrics to find the root cause. Once the crew identifies the culprit, they write the diagnostic summary back to your team's communication channel.

Coordinate continuous synthetic test suites

`list_synthetic_monitors` lets your quality assurance agent audit your active test configurations. The agent identifies gaps in coverage across your endpoints and plans updates to your testing suite. It then tasks a creation agent to run `create_synthetic_monitor` to fill those gaps. The QA agent verifies the new setup by triggering a test run and analyzing the output.

Log agent decisions via this MCP Server

`ingest_events` allows your coordination agent to document every action the crew takes. When an agent modifies a configuration, it logs a custom event back to your monitoring dashboard. This maintains a clear audit trail of all autonomous remediations. Your human operators can see exactly when the crew ran `close_problem` and what telemetry justified the closure.

Setup guide

Set up Dynatrace (APM and Observability) 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 Dynatrace (APM and Observability) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Dynatrace (APM and Observability) 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 →

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="Dynatrace (APM and Observability) Analyst",
        goal="Access and analyze Dynatrace (APM and Observability) data via MCP.",
        backstory="Expert analyst with direct Dynatrace (APM and Observability) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Dynatrace (APM and Observability) 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 Dynatrace. 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 Dynatrace (APM and Observability) MCP in CrewAI

Pass your Vinkius MCP endpoint URL to the `MCPServerHTTP` class. Use the tool filter option to give your triage agent `list_problems` while limiting your remediation agent to `close_problem`.

Yes, one agent can monitor alerts using `list_problems` while another queries telemetry with `query_metrics`. They share context dynamically to locate and fix the root cause.

Configure your Vinkius MCP Server token with read-only permissions. This prevents agents from calling write operations like `delete_dashboard` or `update_account_group_permissions`.

Yes, your documentation agent can call `create_dashboard` when a new service is deployed. The crew configures the layout to display the metrics returned by `list_metrics`.

This server processes your live infrastructure metrics, synthetic test configurations, and problem logs. Vinkius secures this pipeline with zero-trust ephemeral environments, keeping your access tokens hidden from the CrewAI execution environment.

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