How to Use the Wuro MCP in LangChain

Q: What data types does Wuro expose for LangChain?

Wuro exposes billing records, including listinvoices and listquotes, as primary data sources. You can also access contact information via getcontact, allowing your AI client to manage the full customer lifecycle.

Q: Is Wuro's product catalog usable with LangChain?

Yes, you use the listproducts tool. The agent can pull that list and then combine it with data from createinvoice, letting you build detailed invoices based on current inventory listings.

Automate complex billing workflows with Wuro using LangChain chains.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Wuro MCP to LangChain

Create your Vinkius account to connect Wuro to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Wuro with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build multi-step billing cycles.

The agent can build a full billing cycle, moving from discovery to final record. You start by finding a client using `get_contact`, and then immediately use that ID to call `list_invoices` or even trigger a new one with `create_invoice`. This keeps the entire process chained together for accurate accounting records. This sequencing is key: it doesn't just run commands; it uses the output of one step—like confirming a valid client ID—as the mandatory input for the next tool call.

Consolidate data across multiple sources.

Need to check if a product is available or if an old estimate needs updating? Your LangChain agent handles that complexity. It can run `list_products` and then use the results in conjunction with calling `get_quote`, ensuring all data points line up before giving you a final answer. This means your reasoning pipeline doesn't break when it hits multiple APIs; it keeps connecting them to build comprehensive business insights.

Manage internal records and history.

Managing internal company data is easy too. The agent can check who works for you using `list_employees`, or pull a full picture of corporate spending by calling `list_purchases`. This lets the chain build out reports that combine personnel data with financial history. The power here is in the flow: it takes the list of employees and uses that context to filter which purchases should be included in a final report.

Setup guide

Set up Wuro MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Wuro tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "wuro-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Wuro transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wuro. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Wuro now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Wuro MCP in LangChain

The agent lets you chain multiple reads together. For example, you can run `list_contacts` and then feed those results into a subsequent step that uses the contact IDs to call `get_invoice`. This keeps the entire lookup process in one traceable chain.

Absolutely. You can build pipelines where the agent first calls `list_products` to validate inventory, and then uses that validation result to determine if it should proceed with a `create_quote`. The process is fully sequential.

Wuro exposes billing records, including `list_invoices` and `list_quotes`, as primary data sources. You can also access contact information via `get_contact`, allowing your AI client to manage the full customer lifecycle.

Yes, you use the `list_products` tool. The agent can pull that list and then combine it with data from `create_invoice`, letting you build detailed invoices based on current inventory listings.

This MCP Server supports several financial data types, including Invoice details (from `get_invoice`), Quote estimates (from `get_quote`), and the core Contact IDs needed to link all billing records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript