Recurly MCP Server for LangChain 10 tools — connect in under 2 minutes
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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
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
Recurly MCP Tools for LangChain (10)
These 10 tools become available when you connect Recurly to LangChain via MCP:
cancel_subscription
This action is irreversible. Cancels an active subscription
create_account
Specify code, email, and name. Creates a new customer account
create_subscription
Creates a new subscription for an account
get_account_details
Retrieves details for a specific customer account
get_subscription_details
Retrieves details for a specific subscription
list_accounts
Lists all customer accounts in Recurly
list_catalog_plans
Lists all available subscription plans in the product catalog
list_invoices
Lists all generated invoices
list_subscriptions
Lists all subscriptions managed by Recurly
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.
"List the last 5 invoices generated in our account."
"Cancel the subscription with ID 'sub_39xjd82kw0'."
"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.
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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Recurly with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Recurly to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
