How to Use the Holded MCP in LangChain

Q: Can a LangChain agent update inventory stock levels in Holded?

Yes, the agent can call updateproductstock as part of any reasoning chain. It just needs the warehouse ID and the new quantity passed in the JSON body payload.

Get your LangChain agents managing your Holded business, pulling invoices, and updating stock levels in multi-step chains.

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Connect Holded MCP to LangChain

Create your Vinkius account to connect Holded 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.

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Setup Holded with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Run multi-step billing audits with LangChain and Holded MCP Server

Let your agent pull a list of invoices and automatically cross-reference them against project progress. By linking `list_invoices` with `list_all_tasks`, your chain inspects whether billed items match completed work before you send anything to a client. You don't have to write glue code to pass invoice details down the line. The output of `get_invoice_details` feeds directly into the next chain step, letting your model parse the numbers, flag discrepancies, and update your team in one go.

Sync warehouse inventory on the fly

Keep your physical stock numbers in line with your digital records. When a customer orders, your agent can check real-time availability with `get_product_details` and then run `update_product_stock` to modify the count immediately. This setup avoids the lag that usually happens when syncing across different platforms. Your agent decides when to run the update based on real-time data, preventing you from overselling items you don't actually have in the warehouse.

Map out client relationships with structured chains

Stop jumping between your CRM and your project boards. This MCP Server lets your agent use `list_contacts` to find the exact client ID, then calls `get_contact_details` to verify billing addresses and tax information before starting a new build. You can chain this sequence directly into project planning tools. Once the client details are verified, the agent runs `list_projects` to confirm active timelines and ensure your team isn't double-booking their schedule.

Setup guide

Set up Holded 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 Holded 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({
    "holded-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 Holded transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Holded. 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

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Common questions about Holded MCP in LangChain

Yes, you can connect them in minutes. By using the LangChain MCP adapter, your agent gets direct access to tools like `list_invoices` and `get_contact_details` to run autonomous workflows.

You don't need to hardcode API keys into your application code. This MCP Server handles authentication through Vinkius, giving you a single endpoint token that exposes the entire toolset to your agent.

Yes, the agent can call `update_product_stock` as part of any reasoning chain. It just needs the warehouse ID and the new quantity passed in the JSON body payload.

Your chain will catch the error just like any other tool exception. You can inspect the exact failure reason, whether it's a rate limit issue or an invalid project ID from `get_project_details`.

Your financial records, contact profiles, and stock levels never touch third-party storage. All requests run through an isolated, zero-trust sandbox on Vinkius, ensuring your business data remains private and ephemeral during execution.

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