How can I pause billing for a client who needs a break?

Just tell your agent to 'Place a hold on subscription ID `123`'. It hits the `/holds.json` endpoint, clamping the account and completely forbidding the next billing cycle from firing until you choose to resume it.

Can my agent upgrade a customer to a higher pricing tier instantly?

Absolutely. You can ask for a list of products to find the new Plan ID, then prompt the agent to update the subscription target. The platform handles the mid-cycle prorations automatically while your agent executes the switch.

What happens when I cancel a subscription through the AI?

When you execute a cancellation, you can include a 'message' documenting the churn logic (e.g., 'Moving to competitor'). The AI executes an irreversible DELETE call stopping the MRR securely and appending your specific reason for analytics.

Chargify MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Chargify
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Chargify as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="chargify_agent",
    instruction=(
        "You help users interact with Chargify "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Chargify MCP Server

Connect your Chargify (Maxio) site to any AI agent and take absolute control of your SaaS revenue operations by simply chatting. Bypass massive spreadsheets, complex API docs, and tedious financial dashboards.

Google ADK natively supports Chargify as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

Customers — Query your B2B accounts, retrieve specific financial details, or formulate brand new CRM customer records instantly
Subscriptions — Inspect active and canceled states, trace billing cycles, past-due flags, or irreversibly cancel subscriptions documenting specific churn reasons
Planes & Upgrades — Browse your active product catalog and seamlessly upgrade or modify a customer's plan mid-cycle with a single command
Holds & Resumes — Place an absolute freeze/hold on a subscription forbidding next billing, and resume it seamlessly when ready

The Chargify MCP Server exposes 10 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.

How to Connect Chargify to Google ADK via MCP

Follow these steps to integrate the Chargify MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Chargify via MCP

Why Use Google ADK with the Chargify MCP Server

Google ADK provides unique advantages when paired with Chargify 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 Chargify

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 Chargify tools with BigQuery, Vertex AI, and Cloud Functions

Chargify + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Chargify MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Chargify and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Chargify tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Chargify regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Chargify

Chargify MCP Tools for Google ADK (10)

These 10 tools become available when you connect Chargify to Google ADK via MCP:

cancel_subscription

Irreversibly vaporize explicit validations extracting rich Churn flags

create_customer

json` tracking exact Name and Email strings tied to the B2B engine. Provision a highly-available JSON Payload generating hard Customer bindings

get_customer_details

json` checking exactly what references exist per SaaS consumer. Perform structural extraction of properties driving active Account logic

get_subscription_details

json` tracking exact billing cycle, MRR, and past-due flags. Inspect deep internal arrays mitigating specific Plan Math

hold_subscription

json` clamping the subscription entirely forbidding next billing until cleared. Identify precise active arrays spanning native Pause tracking

list_catalog_products

json` grabbing precisely the valid handles needed to trigger a plan switch. Retrieve the exact structural matching verifying Product mapping

list_customers

json` mapping exact user email arrays inside a Chargify site. Identify bounded CRM records inside the Headless Chargify/Maxio Platform

list_subscriptions

json` dropping exact state strings resolving whether active or canceled. Retrieve explicit Cloud logging tracing explicit Recurring limits

resume_subscription

json` ripping a Hold state unlocking MRR engine immediately. Dispatch an automated validation check routing explicit Resume logic

update_subscription_product

Identify precise active arrays spanning native Plan tracking/Upgrades

Example Prompts for Chargify in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Chargify immediately.

"We promised Acme Corp a grace period. Put a hold on subscription 4040 immediately."

"List our product catalog. I need to know the IDs to upgrade an account."

"Customer sub_899 just requested cancellation via email. Reason: 'budget cuts'. Please process it."

Troubleshooting Chargify MCP Server with Google ADK

Common issues when connecting Chargify to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Chargify + Google ADK FAQ

Common questions about integrating Chargify MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.