Hurma MCP Server for LangChainGive LangChain instant access to 12 tools to Create Candidate, Create Leave Request, Export Overtimes, and more
LangChain is the leading Python framework for composable LLM applications. Connect Hurma 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 Hurma app connector for LangChain is a standout in the Productivity 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({
"hurma": {
"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 Hurma, 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 Hurma MCP Server
Connect your Hurma instance to any AI agent and manage your HR operations through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Hurma 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
- Recruiting Pipeline — List all candidates, inspect profiles, create new candidate records, and track hiring progress
- Employee Directory — Browse all employees with department and position details
- Time-Off Management — Monitor out-of-office schedules and leave requests
- Department Structure — Browse organizational departments
- Position Management — List all job positions
- Onboarding Tracking — Monitor new hire checklists and progress
The Hurma 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 Hurma tools available for LangChain
When LangChain connects to Hurma through Vinkius, your AI agent gets direct access to every tool listed below — spanning employee-directory, time-off-tracking, onboarding, 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.
Create a new candidate
Create a new leave or absence request
Export overtime data
Get details for a specific candidate
Get details for a specific employee
Get employee vacation balance
List recruitment candidates
List custom field definitions
List all company departments
List all employees
List employees currently out of office
List recruitment stages
Connect Hurma to LangChain via MCP
Follow these steps to wire Hurma 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 Hurma MCP Server
LangChain provides unique advantages when paired with Hurma through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Hurma 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 Hurma queries for multi-turn workflows
Hurma + LangChain Use Cases
Practical scenarios where LangChain combined with the Hurma MCP Server delivers measurable value.
RAG with live data: combine Hurma tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Hurma, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Hurma tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Hurma tool call, measure latency, and optimize your agent's performance
Example Prompts for Hurma in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Hurma immediately.
"Show all candidates in the pipeline and employees out of office this week."
"List all employees in Engineering and create a new candidate for Senior Backend."
"Show onboarding status for new hires and all departments."
Troubleshooting Hurma MCP Server with LangChain
Common issues when connecting Hurma to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHurma + LangChain FAQ
Common questions about integrating Hurma 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.