How to Use the HRBlade MCP in LangChain

Q: Can LangChain agents handle interview responses from HRBlade?

Absolutely. You can include listinterviewresponses in your agent's toolkit to let it process video feedback automatically.

Chain your recruitment data directly into LangChain agents for automated candidate pipeline management and interview scheduling.

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Connect HRBlade MCP to LangChain

Create your Vinkius account to connect HRBlade 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.

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Setup HRBlade with LangChain

Ask AI about this MCP

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Claude

Perplexity

Candidate data pipelines for LangChain

Connect your recruitment flow to LangChain chains. Use `list_candidates` to pull records, then pipe that data into the next step of your agentic workflow. This setup keeps your logic modular. You aren't just calling APIs; you're building a chain where `get_candidate_details` provides the exact context needed for your agent to decide the next action.

Automated scheduling via LangChain

Trigger interview invitations without manual oversight. When your agent identifies a qualified lead, it executes `send_interview_invitation` using the candidate's verified profile. Everything stays within the chain. You maintain full control over the execution order while the server handles the heavy lifting of interacting with your ATS.

Interview template management for LangChain

Audit your existing interview structures dynamically. Use `list_interviews` to give your LangChain agent visibility into current templates before it triggers a `create_interview` call. This prevents errors and duplicate records. The agent evaluates available templates against the candidate's specific job requirements before committing any changes.

Setup guide

Set up HRBlade 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 HRBlade 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({
    "hrblade-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 HRBlade transactions"
    })
    print(result["messages"][-1].content)

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Common questions about HRBlade MCP in LangChain

You connect the server via the MCP adapter. Once initialized, the agent treats your recruitment tools as native functions within its chain.

Absolutely. You can include `list_interview_responses` in your agent's toolkit to let it process video feedback automatically.

Yes. Every call made to the server is logged through your standard observability stack, so you see exactly what the agent sent and received.

That is the core strength of this setup. You can pass the output of one tool directly into another to build complex, automated hiring sequences.

The server uses a single endpoint token for authentication. Candidate data is only accessed when your agent explicitly invokes a tool, ensuring minimal exposure.

Use it with your favorite AI tools

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

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