How to Use the ChartMogul MCP in Google ADK

Q: Can I restrict the tools exposed to the agent?

Yes, you can use the toolnames filter in the ADK setup to restrict access. For example, you can expose only getcustomercountmetrics while hiding detailed customer profiles.

Query live subscription metrics and customer growth charts directly from your Google ADK agent using this MCP Server.

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Connect ChartMogul MCP to Google ADK

Create your Vinkius account to connect ChartMogul 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.

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Setup ChartMogul with Google ADK

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Feed live SaaS metrics into Google ADK pipelines

The `get_arr_metrics` tool retrieves your live annualized run rate directly into your Google ADK agent. This allows your Gemini model to analyze long-term revenue trends alongside enterprise datasets already sitting in BigQuery. Because Gemini handles massive contexts, you can feed months of raw ARR data into a single prompt. The Google ADK agent uses this tool to build instant financial summaries without exporting CSV files.

Audit subscriber growth using this MCP Server

The `get_customer_count_metrics` tool pulls historical subscriber volumes into your Google ADK environment. Your agent cross-references these counts with your marketing campaign data in Vertex AI to calculate accurate customer acquisition costs. You configure this tool inside your McpToolset to let the Gemini model pull metrics on demand. This gives your cloud-hosted Google ADK agents a direct link to live subscription growth data.

Map active billing systems to Google ADK agents

The `list_mogul_data_sources` tool exposes all active subscription platforms connected to your account. Your Google ADK agent reads this list to determine which billing platforms are feeding your revenue metrics. By identifying the source of each metric, your Gemini-powered Google ADK agent can flag discrepancies between different payment gateways. This ensures your cloud database matches your actual billing records.

Setup guide

Set up ChartMogul 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 ChartMogul 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="ChartMogul_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ChartMogul tools via MCP.",
    tools=mcp_tools,
)

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Common questions about ChartMogul MCP in Google ADK

You initialize the McpToolset with the Vinkius HTTP URL and pass it to your LlmAgent. The Google ADK automatically maps the MCP tools so your Gemini model can call them instantly.

Yes, because Google ADK supports Gemini's long context window, you can pull years of metrics using get_subscription_metrics and let the model run deep trend analysis.

Yes, you can write Google ADK agents that query BigQuery for usage data and then call get_mrr_metrics to compare usage against recurring revenue. This bridges your raw database with your billing metrics.

Yes, you can use the tool_names filter in the ADK setup to restrict access. For example, you can expose only get_customer_count_metrics while hiding detailed customer profiles.

Yes, your SaaS revenue metrics and customer counts are processed in memory and never stored by Vinkius. The MCP Server runs in a secure, zero-trust sandbox that isolates your API keys.

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