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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Stigg through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Stigg MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Stigg queries for multi-turn workflows
Stigg in LangChain
Stigg and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Stigg to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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