How to Use the Worksuite MCP in LangChain

Q: Can LangChain handle payments data from Worksuite?

Yep. The listpayments and listinvoices tools let you pull financial records. You can then chain that payment data into a report alongside project details using the MCP Server.

Build multi-step worker pipelines with LangChain on Worksuite.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Worksuite MCP to LangChain

Create your Vinkius account to connect Worksuite 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 Worksuite with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Sequential Data Retrieval

The agent chains together data requests. For example, it first runs `list_jobs` to pull available openings, then passes the job IDs into `get_job` to retrieve full descriptions. This makes complex workflows easy. You don't just get a list; you get structured, actionable details that feed directly into the next step of your code.

Contractor Onboarding Pipelines

You can automate contractor vetting using multiple tools in sequence. An agent first calls `list_talents` to see who's available, then uses `get_talent` on a specific profile. It even checks their history by calling `list_invoices` for payment verification. This entire process is visible and traceable through the chain output, letting you debug exactly where the pipeline stalled or succeeded.

Project Status Updates

Need to know if a project is on track? Your AI client runs `list_projects` for an overview. Then, it drills down using `get_project` to find milestones and checks task completion by calling `list_tasks`. The whole thing links together into one coherent status report. This chaining capability means you build sophisticated decision-making models that rely on structured data flow.

Setup guide

Set up Worksuite 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 Worksuite 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({
    "worksuite-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 Worksuite 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 Worksuite. 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 Worksuite 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 Worksuite MCP in LangChain

Your agent calls the MCP Server's tools directly. You wrap them in a chain, defining the sequence of tool calls needed to achieve your goal.

Yep. The `list_payments` and `list_invoices` tools let you pull financial records. You can then chain that payment data into a report alongside project details using the MCP Server.

It lets your AI client build multi-step reasoning pipelines. Instead of one tool call, you create an agent that decides which tools to use and in what order based on intermediate results.

Yes. The LangChain setup supports multi-server aggregation, so you can combine this Worksuite data with other services into one large agent workflow.

This server handles invoices and payments. Specifically, it exposes `list_invoices` and `list_payments`, giving you access to the core financial records for contractors and projects.

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