Stigg MCP Server for Google ADKGive Google ADK instant access to 12 tools to Gql Get Customer, Gql Get Entitlements State, Gql Provision Customer, and more
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Stigg as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Stigg MCP Server for Google ADK is a standout in the Developer Tools 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
Geminifrom 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="stigg_agent",
instruction=(
"You help users interact with Stigg "
"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 Stigg MCP Server
Connect your Stigg account to any AI agent to take full control of your pricing and packaging workflows. Manage the entire customer lifecycle from provisioning to usage reporting through natural conversation.
Google ADK natively supports Stigg 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
- Customer Lifecycle — Create, update, and retrieve customer profiles using REST or GraphQL tools.
- Subscription Management — Provision new subscriptions, fetch active plan details, or cancel them when needed.
- Usage Reporting — Report metered feature usage in real-time to ensure accurate billing and entitlement enforcement.
- Hybrid API Access — Choose between REST and GraphQL actions for flexible integration with your billing data.
The Stigg MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Stigg tools available for Google ADK
When Google ADK connects to Stigg through Vinkius, your AI agent gets direct access to every tool listed below — spanning billing, subscriptions, saas-pricing, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Gql get customer on Stigg
Get customer details via GraphQL
Gql get entitlements state on Stigg
Get entitlements state via GraphQL
Gql provision customer on Stigg
Provision a customer and optional subscription via GraphQL
Gql provision subscription on Stigg
Provision a subscription via GraphQL
Gql report usage on Stigg
Report usage via GraphQL
Rest cancel subscription on Stigg
Cancel a subscription via REST API
Rest create customer on Stigg
Create a new customer via REST API
Rest create subscription on Stigg
Create a subscription via REST API
Rest get customer on Stigg
Retrieve a customer via REST API
Rest get subscription on Stigg
Retrieve a subscription via REST API
Rest report usage on Stigg
Report usage for metered features via REST API
Rest update customer on Stigg
Update a customer via REST API
Connect Stigg to Google ADK via MCP
Follow these steps to wire Stigg into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind 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 Stigg MCP Server
Google ADK provides unique advantages when paired with Stigg 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 Stigg
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 Stigg tools with BigQuery, Vertex AI, and Cloud Functions
Stigg + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Stigg MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Stigg and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Stigg tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Stigg regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Stigg
Example Prompts for Stigg in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Stigg immediately.
"Create a customer with ID 'cust_123', name 'Alice', and email 'alice@example.com' using REST."
"Report 50 units of usage for feature 'api-calls' for customer 'cust_123'."
"Get the details for customer 'cust_123' using GraphQL."
Troubleshooting Stigg MCP Server with Google ADK
Common issues when connecting Stigg to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkStigg + Google ADK FAQ
Common questions about integrating Stigg MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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