How to Use the AppDynamics (Application Performance Monitor API) MCP in Google ADK

Q: How do I integrate AppDynamics (Application Performance Monitor API) with Google ADK?

Use the McpToolset class to point your agent at the server URL. Pass this toolset into the tools parameter of your LlmAgent.

Q: Can I filter tools when using AppDynamics (Application Performance Monitor API) in Google ADK?

You can use the toolnames filter to restrict the agent. This limits the available tools to only those necessary for your specific monitoring task.

Connect Google ADK to your infrastructure metrics. Monitor your stack with Gemini-powered reasoning.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect AppDynamics (Application Performance Monitor API) MCP to Google ADK

Create your Vinkius account to connect AppDynamics (Application Performance Monitor API) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup AppDynamics (Application Performance Monitor API) with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Analyze performance data using Google ADK

Your agent uses `get_metric_data` to pull raw performance numbers into Gemini's context window. It correlates this data with other logs stored in BigQuery for a full view of your stack. Use `list_nodes` and `list_tiers` to identify infrastructure drift. The agent flags nodes that deviate from the expected performance baseline.

Automate health rules with Google ADK

Back up your environment by calling `export_health_rules`. The agent saves these to your bucket for version control or migration tasks. Restore or update configurations using `import_health_rules`. Your agent ensures that performance policies match your current infrastructure requirements across all environments.

Manage custom match rules via Google ADK

Refine how your controller identifies business transactions using `list_custom_match_rules`. The agent updates these rules to capture new traffic patterns automatically. It parses the output to verify that your transaction matching logic is still effective. This keeps your monitoring accurate as your application evolves.

Setup guide

Set up AppDynamics (Application Performance Monitor API) MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with AppDynamics (Application Performance Monitor API) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="AppDynamics (Application Performance Monitor API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AppDynamics (Application Performance Monitor API) tools via MCP.",
    tools=mcp_tools,
)

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 AppDynamics. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect AppDynamics (Application Performance Monitor API) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AppDynamics (Application Performance Monitor API) MCP in Google ADK

Use the `McpToolset` class to point your agent at the server URL. Pass this toolset into the `tools` parameter of your `LlmAgent`.

Yes, this MCP server supports both Stdio and HTTP transports. You can choose the transport that matches your Google Cloud deployment strategy.

You can use the `tool_names` filter to restrict the agent. This limits the available tools to only those necessary for your specific monitoring task.

Data is processed within an ephemeral V8 sandbox. The server only transmits the specific performance snapshots requested by your agent.

Vinkius manages all transport security. Your performance event logs remain private within the sandbox environment, isolated from other agent processes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript