Orb MCP Server for LangChainGive LangChain instant access to 10 tools to Cancel Subscription, Create Customer, Create Ledger Entry, and more
LangChain is the leading Python framework for composable LLM applications. Connect Orb 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 for LangChain
The Orb MCP Server for LangChain is a standout in the Data Management category — giving your AI agent 10 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({
"orb": {
"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 Orb, 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 Orb MCP Server
Connect your Orb account to any AI agent to streamline your revenue operations and usage-based billing workflows through natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Orb 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
- Usage Ingestion — Send batches of usage events with idempotency keys to track consumption in real-time.
- Subscription Lifecycle — Create, update, and cancel subscriptions, tying customers to specific billing plans seamlessly.
- Customer Management — Provision new customers and list existing ones with full metadata and external ID mapping.
- Invoicing & Revenue — List historical invoices or fetch upcoming draft invoices to predict end-of-month billing.
- Credit Ledgers — Manage prepaid credits by creating ledger entries for increments, decrements, or expirations.
The Orb MCP Server exposes 10 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 10 Orb tools available for LangChain
When LangChain connects to Orb through Vinkius, your AI agent gets direct access to every tool listed below — spanning usage-based-billing, revenue-operations, subscription-management, 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.
Cancel subscription on Orb
Cancel a subscription
Create customer on Orb
Requires name and email. Create a new customer in Orb
Create ledger entry on Orb
Create a ledger entry for credits
Create subscription on Orb
Create a subscription for a customer
Fetch ledger on Orb
Fetch credit ledger for a customer
Get upcoming invoice on Orb
Fetch upcoming invoice for a subscription
Ingest events on Orb
Events require customer_id, event_name, timestamp, idempotency_key, and properties. Ingest usage events into Orb
List customers on Orb
List customers in Orb
List invoices on Orb
List invoices
Update subscription on Orb
Update an existing subscription
Connect Orb to LangChain via MCP
Follow these steps to wire Orb into LangChain. The entire setup takes under two minutes — your credentials stay safe behind 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 Orb MCP Server
LangChain provides unique advantages when paired with Orb through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Orb 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 Orb queries for multi-turn workflows
Orb + LangChain Use Cases
Practical scenarios where LangChain combined with the Orb MCP Server delivers measurable value.
RAG with live data: combine Orb tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Orb, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Orb tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Orb tool call, measure latency, and optimize your agent's performance
Example Prompts for Orb in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Orb immediately.
"List the last 5 customers created in Orb."
"Ingest a usage event for customer cust_123: 50 units of 'api_requests'."
"What is the upcoming invoice amount for subscription sub_987?"
Troubleshooting Orb MCP Server with LangChain
Common issues when connecting Orb to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOrb + LangChain FAQ
Common questions about integrating Orb 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?
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