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Stigg MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Gql Get Customer, Gql Get Entitlements State, Gql Provision Customer, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Stigg through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Stigg MCP Server for Mastra AI is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients
typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "stigg": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Stigg Agent",
    instructions:
      "You help users interact with Stigg " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Stigg?"
  );
  console.log(result.text);
}

main();
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

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.

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.

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 Mastra AI 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 Mastra AI

When Mastra AI 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

Gql get customer on Stigg

Get customer details via GraphQL

gql

Gql get entitlements state on Stigg

Get entitlements state via GraphQL

gql

Gql provision customer on Stigg

Provision a customer and optional subscription via GraphQL

gql

Gql provision subscription on Stigg

Provision a subscription via GraphQL

gql

Gql report usage on Stigg

Report usage via GraphQL

rest

Rest cancel subscription on Stigg

Cancel a subscription via REST API

rest

Rest create customer on Stigg

Create a new customer via REST API

rest

Rest create subscription on Stigg

Create a subscription via REST API

rest

Rest get customer on Stigg

Retrieve a customer via REST API

rest

Rest get subscription on Stigg

Retrieve a subscription via REST API

rest

Rest report usage on Stigg

Report usage for metered features via REST API

rest

Rest update customer on Stigg

Update a customer via REST API

Connect Stigg to Mastra AI via MCP

Follow these steps to wire Stigg into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 12 tools from Stigg via MCP

Why Use Mastra AI with the Stigg MCP Server

Mastra AI provides unique advantages when paired with Stigg through the Model Context Protocol.

01

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

02

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

03

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

04

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

Stigg + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Stigg MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Stigg, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Stigg as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Stigg on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Stigg tools alongside other MCP servers

Example Prompts for Stigg in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Stigg immediately.

01

"Create a customer with ID 'cust_123', name 'Alice', and email 'alice@example.com' using REST."

02

"Report 50 units of usage for feature 'api-calls' for customer 'cust_123'."

03

"Get the details for customer 'cust_123' using GraphQL."

Troubleshooting Stigg MCP Server with Mastra AI

Common issues when connecting Stigg to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Stigg + Mastra AI FAQ

Common questions about integrating Stigg MCP Server with Mastra AI.

01

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.
02

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.
03

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.

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