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Recurly MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

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({
        "recurly": {
            "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 Recurly, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Recurly
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* 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 Recurly MCP Server

Connect your Recurly subscription billing and management platform securely to your conversational AI agent. Activating this integration transforms your AI into a dynamic revenue operations assistant, giving it the autonomy to look up accounts, adjust active subscription states, and analyze invoice pipelines directly from the terminal.

LangChain's ecosystem of 500+ components combines seamlessly with Recurly through native MCP adapters. Connect 10 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

  • Account Management — Quickly list your customer directory, view detailed billing profiles, or instantly create a new account mapping without opening the vendor console.
  • Subscription Operations — Easily search and read subscription lifecycle states, enroll users in fresh catalog plans, un-cancel previous subscriptions, or permanently cancel an ongoing billing mandate.
  • Invoice & Plan Catalogs — Retrieve the list of historical generated invoices to verify successful automated payments or pull all active billing models (Catalog Plans) to review available products.

The Recurly MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Recurly to LangChain via MCP

Follow these steps to integrate the Recurly MCP Server with LangChain.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Recurly via MCP

Why Use LangChain with the Recurly MCP Server

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

01

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

02

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

03

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

04

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

Recurly + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Recurly MCP Tools for LangChain (10)

These 10 tools become available when you connect Recurly to LangChain via MCP:

01

cancel_subscription

This action is irreversible. Cancels an active subscription

02

create_account

Specify code, email, and name. Creates a new customer account

03

create_subscription

Creates a new subscription for an account

04

get_account_details

Retrieves details for a specific customer account

05

get_subscription_details

Retrieves details for a specific subscription

06

list_accounts

Lists all customer accounts in Recurly

07

list_catalog_plans

Lists all available subscription plans in the product catalog

08

list_invoices

Lists all generated invoices

09

list_subscriptions

Lists all subscriptions managed by Recurly

10

reactivate_subscription

Reactivates a previously cancelled or expired subscription

Example Prompts for Recurly in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Recurly immediately.

01

"List the last 5 invoices generated in our account."

02

"Cancel the subscription with ID 'sub_39xjd82kw0'."

03

"Retrieve the billing details for account code 'cus_alpha_92'."

Troubleshooting Recurly MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Recurly + LangChain FAQ

Common questions about integrating Recurly MCP Server with LangChain.

01

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.
02

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.
03

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.

Connect Recurly to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.