How do I find my Holded API Key?

Log in to your Holded account, click on the **Settings** icon (top right), go to **Developers**, and you will find your unique **API Key** listed there. You can create multiple keys for different integrations.

What document types are supported in the invoicing tools?

This integration currently focuses on the `invoice` document type. For other types like sales orders or purchase orders, you can use the generic `list_invoices` logic if they are mapped under the same module in your instance.

Can I update stock levels through this integration?

Yes! Use the `update_product_stock` tool. You must provide the product ID and a JSON string containing the warehouse ID and the new quantity to update your inventory.

Is the integration secure for ERP data?

Absolutely. The integration uses official Holded API keys in the request header over HTTPS. Your credentials and business data are encrypted and stored securely within the Vinkius Cloud infrastructure.

Holded MCP Server for LangChain 11 tools — connect in under 2 minutes

Name: Holded
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Holded through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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({
        "holded": {
            "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 Holded, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Holded MCP Server

Connect your Holded ERP platform to any AI agent and take full control of your invoicing, CRM, and project management through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Holded 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

Invoicing Oversight — List all documents, retrieve detailed invoice data, and monitor payment statuses efficiently.
CRM & Contact Management — Access lists of clients, suppliers, and leads, and retrieve full profile information for better relationship management.
Project & Task Tracking — List active projects and monitor tasks across your entire portfolio to ensure deadlines are met.
Inventory & Products — Access your product catalog and update stock levels directly from the chat interface.
Business Intelligence — Retrieve account and organization metadata to maintain a high-level overview of your business operations.
Unified ERP — Bridge the gap between your accounting and operations using the comprehensive Holded API.

The Holded 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.

How to Connect Holded to LangChain via MCP

Follow these steps to integrate the Holded MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Holded via MCP

Why Use LangChain with the Holded MCP Server

LangChain provides unique advantages when paired with Holded through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Holded 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 Holded queries for multi-turn workflows

Holded + LangChain Use Cases

Practical scenarios where LangChain combined with the Holded MCP Server delivers measurable value.

RAG with live data: combine Holded tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Holded, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Holded tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Holded tool call, measure latency, and optimize your agent's performance

Holded MCP Tools for LangChain (11)

These 11 tools become available when you connect Holded to LangChain via MCP:

get_api_profile

Retrieve information about the authenticated account

get_contact_details

Get detailed profile information for a specific contact

get_invoice_details

Get detailed information about a specific invoice

get_product_details

Get detailed information for a specific product

get_project_details

Get detailed configuration and status for a project

list_all_tasks

List tasks across all projects

list_contacts

Useful for finding the contact ID required for documents. List all contacts (clients, suppliers, leads) in Holded

list_invoices

Use this to monitor billing and find IDs for specific document actions. List all invoices in your Holded account

list_products

List all products and services in your Holded inventory

list_projects

List all active and past projects

update_product_stock

Pass details as a JSON string in "body_json" (requires warehouseId and new quantity). Update the stock level for a specific product

Example Prompts for Holded in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Holded immediately.

"List all active projects and show the last task for each."

"Find contact 'Acme Corp' and show their recent invoices."

"Show me the details for product ID 'prod_992' and its stock level."

Troubleshooting Holded MCP Server with LangChain

Common issues when connecting Holded to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Holded + LangChain FAQ

Common questions about integrating Holded MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.