How to Use the Recruit CRM MCP in LangChain

Q: Can LangChain perform Recruit CRM searches?

Yes, the agent uses listcandidates or listjobs to search your account. It processes the results to answer specific questions about your pipeline.

Chain Recruit CRM tool calls in your LangChain agents to automate candidate sourcing and job pipeline management.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Recruit CRM MCP to LangChain

Create your Vinkius account to connect Recruit CRM 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.

GDPR Free for Subscribers

Setup Recruit CRM with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Sequence Recruit CRM actions in LangChain

Pipe the output of `list_candidates` directly into `get_candidate_details` to build multi-step recruitment workflows. Your agent handles the logic between these calls without manual intervention. LangSmith captures every step of this process. You get a clear view of latency and tool inputs whenever your chain runs.

Agent-driven Recruit CRM data access

Your LangChain agent picks the right tool to fetch client data. It decides if it needs `list_jobs` or `get_job_details` based on the current context. You avoid writing brittle scripts for every data request. The agent adapts to the information it finds in real time.

Unified Recruit CRM and database workflows

Mix Recruit CRM data with your vector stores or external APIs. This MCP Server lets you link candidate records with internal company databases in one chain. Developers build complex reasoning pipelines that span multiple data sources. You define the flow, and the agent executes the steps.

Setup guide

Set up Recruit CRM MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
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 LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "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 Recruit CRM tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "recruit-crm-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 Recruit CRM transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Recruit CRM. 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.

Connect Recruit CRM now

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 Recruit CRM MCP in LangChain

Install the necessary adapters and initialize the MultiServerMCPClient with the provided endpoint. This creates a bridge between your agent and the recruitment data.

Yes, the agent uses `list_candidates` or `list_jobs` to search your account. It processes the results to answer specific questions about your pipeline.

LangSmith tracks every interaction with this MCP Server. You see exactly what the agent requested and how the API responded.

The agent treats each tool as a functional node. It selects the tool required to move the current task forward.

Your candidate names, emails, and phone numbers stay within your session. Vinkius manages the connection, and you control the data access at the endpoint.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript