4,000+ servers built on vurb.ts
Vinkius
Mastra AISDK
Mastra AI
Stigg MCP Server

Bring Billing
to Mastra AI

Learn how to connect Stigg to Mastra AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Gql Get CustomerGql Get Entitlements StateGql Provision CustomerGql Provision SubscriptionGql Report UsageRest Cancel SubscriptionRest Create CustomerRest Create SubscriptionRest Get CustomerRest Get SubscriptionRest Report UsageRest Update Customer

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Stigg

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

  1. Subscribe to this server
  2. Enter your Stigg API Key
  3. 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)

gql_get_customer

Get customer details via GraphQL

gql_get_entitlements_state

Get entitlements state via GraphQL

gql_provision_customer

Provision a customer and optional subscription via GraphQL

gql_provision_subscription

Provision a subscription via GraphQL

gql_report_usage

Report usage via GraphQL

rest_cancel_subscription

Cancel a subscription via REST API

rest_create_customer

Create a new customer via REST API

rest_create_subscription

Create a subscription via REST API

rest_get_customer

Retrieve a customer via REST API

rest_get_subscription

Retrieve a subscription via REST API

rest_report_usage

Report usage for metered features via REST API

rest_update_customer

Update a customer via REST API

Why Mastra AI?

Mastra's agent abstraction provides a clean separation between LLM logic and Stigg tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

  • Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Stigg without touching business code

  • Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

  • TypeScript-native: full type inference for every Stigg tool response with IDE autocomplete and compile-time checks

  • One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

M
See it in action

Stigg in Mastra AI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Stigg and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Stigg to Mastra AI 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.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Stigg in Mastra AI

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 Mastra AI 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.

Stigg
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

The Vinkius Advantage

How Vinkius secures Stigg for Mastra AI

Every tool call from Mastra AI to the Stigg MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

05

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

06

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

07

createMCPClient not exported

Install: npm install @mastra/mcp

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