Ninehire MCP Server for LangChainGive LangChain instant access to 12 tools to Check Api Health, Get Applicant Profile, Get Authenticated User Info, and more
LangChain is the leading Python framework for composable LLM applications. Connect Ninehire 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 Ninehire app connector for LangChain is a standout in the Industry Titans 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({
"ninehire": {
"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 Ninehire, 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 Ninehire MCP Server
Connect your Ninehire account to any AI agent and take full control of your talent acquisition and applicant tracking orchestration through natural conversation. Ninehire (나인하이어) provides a modern recruitment platform, and this integration allows you to retrieve job metadata, manage candidate profiles, and monitor interview evaluations directly from your chat interface.
LangChain's ecosystem of 500+ components combines seamlessly with Ninehire 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
- Job & Requirement Orchestration — List all active job openings and retrieve detailed requirements programmatically to ensure your hiring roadmap is always synchronized.
- Applicant & Pipeline Intelligence — Access and monitor candidate profiles and retrieve detailed application history directly from the AI interface to maintain high-fidelity talent pools.
- Evaluation & Feedback Control — List interview scores and comments via natural language to drive better hiring decisions and team alignment.
- Manual Applicant Ingestion — Register new applicants and manage department or location metadata using simple AI commands.
- Operational Monitoring — Track system responses and manage recruitment webhooks to ensure your hiring workflows are always optimized.
The Ninehire 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 Ninehire tools available for LangChain
When LangChain connects to Ninehire through Vinkius, your AI agent gets direct access to every tool listed below — spanning applicant-tracking, talent-acquisition, hiring-pipeline, 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.
Verify Ninehire API status
Get details for a specific candidate
Get current account profile
Get details for a specific job
Get evaluations for a candidate
List active webhooks
List internal hiring teams
List candidates and applicants
List hiring locations
Supports filtering by title, job group, and employment type. List all job openings
List company departments
Requires essential info like name and email. Add a candidate manually
Connect Ninehire to LangChain via MCP
Follow these steps to wire Ninehire 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 Ninehire MCP Server
LangChain provides unique advantages when paired with Ninehire through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Ninehire 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 Ninehire queries for multi-turn workflows
Ninehire + LangChain Use Cases
Practical scenarios where LangChain combined with the Ninehire MCP Server delivers measurable value.
RAG with live data: combine Ninehire tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Ninehire, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Ninehire tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Ninehire tool call, measure latency, and optimize your agent's performance
Example Prompts for Ninehire in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Ninehire immediately.
"List all active job postings in Ninehire."
"Show me all candidates who applied for the Senior Developer position."
"List all departments and hiring locations configured in my organization."
Troubleshooting Ninehire MCP Server with LangChain
Common issues when connecting Ninehire to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNinehire + LangChain FAQ
Common questions about integrating Ninehire 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.