Recharge MCP Server for LangChainGive LangChain instant access to 11 tools to Cancel Subscription, Get Customer, Get Order, and more
LangChain is the leading Python framework for composable LLM applications. Connect Recharge 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 Recharge 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({
"recharge": {
"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 Recharge, 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 Recharge MCP Server
Connect your Recharge account to any AI agent and simplify your subscription management and recurring billing workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Recharge 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 cancelled subscriptions, retrieve detailed metadata, and update parameters programmatically
- Customer Database — Query your database of subscribers and retrieve detailed profile and billing info
- Order Tracking — Monitor processed subscription orders and stay on top of your fulfillment pipeline
- Financial Insights — Access processed charges and billing history to understand your recurring revenue
- Direct Control — Modify subscription quantities and scheduled charge dates without manual dashboard navigation
The Recharge 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 Recharge tools available for LangChain
When LangChain connects to Recharge through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscriptions, recurring-billing, shopify-subscriptions, 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.
Cancel a subscription
Get details for a specific customer
Get details for a specific order
Get details for a specific subscription
List billing charges
List Recharge customers
List all subscription products
List customer addresses
List processed orders
List Recharge subscriptions
Update an existing subscription
Connect Recharge to LangChain via MCP
Follow these steps to wire Recharge 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 Recharge MCP Server
LangChain provides unique advantages when paired with Recharge through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Recharge 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 Recharge queries for multi-turn workflows
Recharge + LangChain Use Cases
Practical scenarios where LangChain combined with the Recharge MCP Server delivers measurable value.
RAG with live data: combine Recharge tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Recharge, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Recharge tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Recharge tool call, measure latency, and optimize your agent's performance
Example Prompts for Recharge in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Recharge immediately.
"List all active subscriptions in Recharge."
"Show me all active subscriptions that are due for renewal in the next 7 days."
"Show me the churn analysis for the last 30 days with cancellation reasons."
Troubleshooting Recharge MCP Server with LangChain
Common issues when connecting Recharge to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersRecharge + LangChain FAQ
Common questions about integrating Recharge 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.