Holded MCP Server for LangChainGive LangChain instant access to 12 tools to Create Invoice, List Contacts, List Credit Notes, and more
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.
Ask AI about this App Connector for LangChain
The Holded app connector for LangChain is a standout in the Erp Operations category — giving your AI agent 12 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({
"holded-alternative": {
"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())
* 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 account to any AI agent and take full control of your business operations and ERP workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Holded through native MCP adapters. Connect 12 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
- Sales Lifecycle — Manage everything from quotes and sales orders to invoices and credit notes programmatically
- Purchase Tracking — Monitor supplier relationships and manage purchase orders and invoices with ease
- CRM & Contacts — Organize your customer base, inventory products, and business expenses in one centralized hub
- Treasury & Payments — Monitor payments, treasury accounts, and financial health directly through your agent
- Inventory Control — List and manage products and stock levels to ensure your business never misses a beat
The Holded MCP Server exposes 12 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.
All 12 Holded tools available for LangChain
When LangChain connects to Holded through Vinkius, your AI agent gets direct access to every tool listed below — spanning invoicing, accounting, inventory-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Requires contact ID and items. Create a new invoice
List CRM contacts
List all credit notes
List business expenses
List all sales invoices
List recent payments
List inventory products
List purchase invoices
List purchase orders
List all quotes
List all sales orders
List active webhooks
Connect Holded to LangChain via MCP
Follow these steps to wire Holded into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the 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 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
Example Prompts for Holded in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Holded immediately.
"List all my unpaid sales invoices from Holded."
"Create a new contact 'John Doe' as a lead with email 'john@example.com'."
"Show me the last 5 business expenses."
Troubleshooting Holded MCP Server with LangChain
Common issues when connecting Holded to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHolded + LangChain FAQ
Common questions about integrating Holded 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.