Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Stigg API Key
- Start managing your SaaS billing from Claude, Cursor, or any MCP-compatible client
No more jumping between dashboards to check a customer's entitlement or manually reporting usage. Your AI acts as a billing operations assistant.
Who is this for?
- Product Managers — instantly check customer plan statuses and feature entitlements without opening the Stigg console.
- Customer Success — provision trials or update customer details directly during support interactions.
- Developers — test billing flows and report usage for metered features straight from the terminal or IDE.
Built-in capabilities (12)
Get customer details via GraphQL
Get entitlements state via GraphQL
Provision a customer and optional subscription via GraphQL
Provision a subscription via GraphQL
Report usage via GraphQL
Cancel a subscription via REST API
Create a new customer via REST API
Create a subscription via REST API
Retrieve a customer via REST API
Retrieve a subscription via REST API
Report usage for metered features via REST API
Update a customer via REST API
Why Google ADK?
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.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Stigg
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Stigg tools with BigQuery, Vertex AI, and Cloud Functions
Stigg in Google ADK
Stigg and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Stigg to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Stigg in Google ADK
The Stigg 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Stigg for Google ADK
Every tool call from Google ADK to the Stigg MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I provision a customer and a subscription in one go?
Yes! Use the gql_provision_customer tool. It allows you to create the customer entity and optionally provide a planId to start their subscription immediately in a single GraphQL call.
How do I report usage for a metered feature?
You can use either rest_report_usage or gql_report_usage. Simply provide the customerId, the featureId, and the numeric value to update their metered usage in Stigg.
Is it possible to cancel an active subscription via the agent?
Yes, use the rest_cancel_subscription tool by providing the specific subscription ID. The agent will process the cancellation through Stigg's REST API.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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