Humaans MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Humaans 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"humaans": {
"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 Humaans, 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 Humaans MCP Server
Connect your AI agents to Humaans, the modern HRIS for global teams. This MCP server allows you to list and manage employees, track leave requests, view public holidays, and access organization data like teams, departments, and offices directly through the Humaans API. Ideal for automating HR operations and employee directory lookups.
LangChain's ecosystem of 500+ components combines seamlessly with Humaans through native MCP adapters. Connect 10 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.
The Humaans MCP Server exposes 10 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 Humaans to LangChain via MCP
Follow these steps to integrate the Humaans 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 10 tools from Humaans via MCP
Why Use LangChain with the Humaans MCP Server
LangChain provides unique advantages when paired with Humaans through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Humaans 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 Humaans queries for multi-turn workflows
Humaans + LangChain Use Cases
Practical scenarios where LangChain combined with the Humaans MCP Server delivers measurable value.
RAG with live data: combine Humaans tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Humaans, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Humaans tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Humaans tool call, measure latency, and optimize your agent's performance
Humaans MCP Tools for LangChain (10)
These 10 tools become available when you connect Humaans to LangChain via MCP:
get_employee
Retrieves details for a specific employee
get_me
Gets current authenticated user info
list_departments
Lists organization departments
list_documents
Lists company and employee documents
list_employees
Lists all employees
list_leaves
Lists employee leave requests
list_offices
Lists organization offices
list_public_holidays
Lists public holidays
list_roles
Lists job roles
list_teams
Lists organization teams
Example Prompts for Humaans in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Humaans immediately.
"List all employees in the London office."
"Who is currently on leave?"
"Show me the organization chart (teams and departments)."
Troubleshooting Humaans MCP Server with LangChain
Common issues when connecting Humaans to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHumaans + LangChain FAQ
Common questions about integrating Humaans 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.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Humaans with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Humaans to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.