How to Use the Deel MCP in LangChain
Build automated HR chains in LangChain. Connect this MCP server to your agents for real-time contract and payment data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Deel MCP to LangChain
Create your Vinkius account to connect Deel 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.
Chain Deel data with LangChain
Feed `get_contract` and `list_invoices` outputs directly into your agent reasoning loops. Each tool call provides structured data for your next chain link. Your agents parse these responses to trigger follow-up actions without manual intervention. It makes multi-step HR workflows predictable and traceable.
Trace Deel tool usage in LangSmith
Monitor every request sent from your LangChain pipeline. Inspect the latency and token usage of every `list_payments` execution in your dashboard. Debugging becomes trivial when you see the exact JSON input and output for every step. You catch logic errors before they hit your production data.
Aggregate multi-server HR pipelines
Combine this MCP server with other data sources in a single LangChain graph. Your agent decides if it needs `list_people` or another tool to resolve a task. This setup allows your application to handle complex logic across disparate systems. You get a unified view of team member status and financial obligations.
Set up Deel MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - 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 LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"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 Deel tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"deel-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 Deel transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Deel. 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.
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 Deel MCP in LangChain
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Deel MCP today
We host it, we monitor it, we maintain it. You just paste one token.