Stigg MCP Server for LangChainGive LangChain instant access to 12 tools to Gql Get Customer, Gql Get Entitlements State, Gql Provision Customer, and more

Name: Stigg
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Stigg through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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The Stigg MCP Server for LangChain 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

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "stigg": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Stigg, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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.

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.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Stigg via MCP

Why Use LangChain with the Stigg MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Stigg MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Stigg queries for multi-turn workflows

Stigg + LangChain Use Cases

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

RAG with live data: combine Stigg tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Stigg, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Stigg tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Stigg tool call, measure latency, and optimize your agent's performance

Example Prompts for Stigg in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Stigg + LangChain FAQ

Common questions about integrating Stigg MCP Server with LangChain.

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.