Recurly MCP Server for LangChainGive LangChain instant access to 11 tools to Create Billing Account, Get Account Details, Get Invoice, and more
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.
Ask AI about this App Connector for LangChain
The Recurly app connector for LangChain is a standout in the Money Moves category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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-alternative": {
"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())
* 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 account to any AI agent and simplify your subscription billing, revenue management, and customer orchestration through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Recurly through native MCP adapters. Connect 11 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
- Subscription Management — List all active and expired product subscriptions, and retrieve detailed metadata and plan info
- Account Coordination — Query your database of billing accounts and retrieve detailed metadata, balance, and status
- Billing Tracking — Access a history of generated invoices and monitor their payment status directly from your agent
- Plan catalog — Query available subscription plans and their pricing to choose the right context for each interaction
- Direct Enrollment — Register new customer accounts programmatically directly from your agent
The Recurly MCP Server exposes 11 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.
All 11 Recurly tools available for LangChain
When LangChain connects to Recurly through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscriptions, billing, recurring-revenue, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Register a new account
Get details for a specific account
Get details for a specific invoice
Get revenue export dates
Get details for a specific subscription
List billing accounts
List invoices
List all active coupons
List available plans
List Recurly subscriptions
List recent transactions
Connect Recurly to LangChain via MCP
Follow these steps to wire Recurly into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Recurly MCP Server
LangChain provides unique advantages when paired with Recurly through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Recurly 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 Recurly queries for multi-turn workflows
Recurly + LangChain Use Cases
Practical scenarios where LangChain combined with the Recurly MCP Server delivers measurable value.
RAG with live data: combine Recurly tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Recurly, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Recurly tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Recurly tool call, measure latency, and optimize your agent's performance
Example Prompts for Recurly in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Recurly immediately.
"List all active subscriptions in Recurly."
"Show me the subscription revenue breakdown by plan for the current billing period."
"List all failed invoice payments from the last 14 days that need follow-up."
Troubleshooting Recurly MCP Server with LangChain
Common issues when connecting Recurly to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersRecurly + LangChain FAQ
Common questions about integrating Recurly MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.