ChartMogul MCP Server for Google ADKGive Google ADK instant access to 12 tools to Create Customer Record, Get Api Status, Get Arr History, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ChartMogul as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this App Connector for Google ADK
The ChartMogul app connector for Google ADK is a standout in the Data Analytics category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="chartmogul_alternative_agent",
instruction=(
"You help users interact with ChartMogul "
"using 12 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About ChartMogul MCP Server
Connect your ChartMogul account to any AI agent and take full control of your SaaS revenue intelligence and subscription monitoring workflows through natural conversation.
Google ADK natively supports ChartMogul as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Revenue Orchestration — Retrieve real-time metrics for Monthly Recurring Revenue (MRR), Annual Run Rate (ARR), and Average Revenue Per Account (ARPA) programmatically
- Churn & Retention Intelligence — Monitor customer churn rates and LTV (Lifetime Value) metrics across custom time intervals to understand your business health in real-time
- Customer Lifecycle Management — List and manage your subscriber base programmatically, including retrieving detailed historical profiles and MRR contributions
- Infrastructure Monitoring — Access information about your connected data sources (Stripe, Braintree, etc.) and subscription plans to ensure high-fidelity billing oversight
- Trend Analysis — Query historical metrics over specific periods (day, week, month, quarter) to identify growth patterns and seasonal shifts directly through your agent
The ChartMogul MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 ChartMogul tools available for Google ADK
When Google ADK connects to ChartMogul through Vinkius, your AI agent gets direct access to every tool listed below — spanning mrr-tracking, saas-analytics, churn-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add new customer
Check connection
Analyze ARR
Analyze retention
Monitor user growth
Get customer profile
Check Customer LTV
Analyze MRR
Get key SaaS metrics
List SaaS customers
) connected to ChartMogul. List connected sources
List billing plans
Connect ChartMogul to Google ADK via MCP
Follow these steps to wire ChartMogul into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the ChartMogul MCP Server
Google ADK provides unique advantages when paired with ChartMogul through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ChartMogul
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine ChartMogul tools with BigQuery, Vertex AI, and Cloud Functions
ChartMogul + Google ADK Use Cases
Practical scenarios where Google ADK combined with the ChartMogul MCP Server delivers measurable value.
Enterprise data agents: ADK agents query ChartMogul and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine ChartMogul tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query ChartMogul regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ChartMogul
Example Prompts for ChartMogul in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with ChartMogul immediately.
"Show our MRR and ARR summary for the last 3 months."
"What is our current churn rate compared to last month?"
"Get the MRR contribution for customer 'john.doe@example.com'."
Troubleshooting ChartMogul MCP Server with Google ADK
Common issues when connecting ChartMogul to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkChartMogul + Google ADK FAQ
Common questions about integrating ChartMogul MCP Server with Google ADK.