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

Q: How do AutoGen agents access this MCP Server?

You register the tools with the AssistantAgent using the MCP adapter. This exposes the entire suite of 37 tools to the agents' conversational loop.

Q: Can AutoGen agents modify user permissions in Dynatrace (APM and Observability)?

Yes, agents can use updateaccountgrouppermissions and createaccountuser if authorized. You should restrict write access in your Vinkius token settings to prevent unauthorized changes.

Deploy autonomous SRE agent teams in AutoGen to debate, diagnose, and resolve system anomalies using real-time telemetry.

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Connect Dynatrace (APM and Observability) MCP to AutoGen

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

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Multi-agent alert debate using AutoGen

The `list_problems` tool feeds active system alerts directly into an AutoGen conversation. A dedicated triage agent parses the alert details, while a performance agent queries underlying infrastructure metrics using `query_metrics`. They debate the root cause in an open chat loop. Once they agree on the source of the anomaly, a third agent can execute `close_problem` to resolve the incident safely.

Collaborative synthetic test execution

The `trigger_synthetic_batch` tool allows your testing agents to run on-demand synthetic suites during deployments. One agent triggers the batch, while another monitors performance using `list_synthetic_executions`. If performance dips, they collaborate to find the breaking change. They can automatically adjust testing locations using `update_synthetic_location` without human intervention.

Collaborative dashboard design via MCP Server

The `create_dashboard` tool enables your visualization agents to build real-time monitoring layouts. The design agent drafts the layout, while a data specialist agent selects the correct metrics using `list_metrics`. They refine the dashboard iteratively. If a metric configuration is incorrect, they update the layout instantly using `update_dashboard` until it meets team standards.

Setup guide

Set up Dynatrace (APM and Observability) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Dynatrace (APM and Observability) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Dynatrace (APM and Observability)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Dynatrace (APM and Observability) data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Dynatrace (APM and Observability)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Dynatrace (APM and Observability) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Dynatrace (APM and Observability) MCP in AutoGen

You register the tools with the `AssistantAgent` using the MCP adapter. This exposes the entire suite of 37 tools to the agents' conversational loop.

Yes, agents can use `update_account_group_permissions` and `create_account_user` if authorized. You should restrict write access in your Vinkius token settings to prevent unauthorized changes.

The framework handles asynchronous tool calls natively. If multiple agents query metrics with `query_metrics` simultaneously, the requests are queued and executed efficiently.

No. Vinkius hosts the MCP server on its managed infrastructure, giving you a secure HTTP endpoint to connect your local AutoGen environment.

The server processes synthetic execution metrics, problem details, and system alerts. Vinkius secures this data by routing all traffic through isolated V8 sandboxes, ensuring no logs or payloads are stored after the tool call completes.

Use it with your favorite AI tools

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