How to Use the Ashby MCP in LangChain

Q: How do I connect the Ashby MCP Server to LangChain?

Install langchain-mcp-adapters and langgraph. Initialize a MultiServerMCPClient pointing to the Vinkius endpoint, then pass the tools to your agent.

Q: Can my LangChain agent create new Ashby candidates?

Yes. The agent uses the createashbycandidate tool when it detects a new resume or profile in the chain. You control the validation steps before the insertion happens.

Q: Does the connection support persistent context?

The connection is stateless by default. Call client.session() to maintain history across multiple recruiting queries.

Build multi-step recruiting pipelines by connecting Ashby to your LangChain agents.

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Connect Ashby MCP to LangChain

Create your Vinkius account to connect Ashby 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 Ashby with LangChain

Ask AI about this MCP

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Claude

Perplexity

Chain Ashby MCP Server lookups

Your ReAct agents decide when to pull job details using `get_ashby_job` based on user prompts. They parse the requirements, then immediately trigger `list_ashby_candidates` to find exact matches. The MCP protocol handles the schema mapping automatically. Output from one tool feeds directly into the next. A custom chain grabs candidate history via `get_ashby_candidate`, runs a quick evaluation against the job spec, and pushes the result back to your database. LangSmith tracks the exact latency for every API call.

Automate interview scheduling logic

Fetching current application statuses starts with `list_ashby_applications`. Your agent reads the pipeline stage. If an applicant passed the technical screen, the system pulls interview availability using `list_ashby_interviews`. Developers build loops that require zero human input for basic triage. The agent evaluates the feedback scores from `list_ashby_feedback` and decides if it should move the person forward. You define the rules, the code executes them.

Feed new applicants directly

Ingesting resumes from external sources triggers the `create_ashby_candidate` tool. Your pipeline parses a raw PDF, formats the required JSON payload, and fires it into the ATS. Combining these endpoints means you build a complete sourcing engine. The script lists active roles via `list_ashby_jobs`, scrapes matching profiles, and populates your talent pool without manual data entry.

Setup guide

Set up Ashby 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 Ashby 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({
    "ashby-alternative-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 Ashby transactions"
    })
    print(result["messages"][-1].content)

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

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Common questions about Ashby MCP in LangChain

Install `langchain-mcp-adapters` and `langgraph`. Initialize a `MultiServerMCPClient` pointing to the Vinkius endpoint, then pass the tools to your agent.

Yes. The agent uses the `create_ashby_candidate` tool when it detects a new resume or profile in the chain. You control the validation steps before the insertion happens.

LangSmith traces every call. You see exactly what parameters the agent sent to the server and the exact JSON response it got back.

The connection is stateless by default. Call `client.session()` to maintain history across multiple recruiting queries.

The server processes names, resumes, and interview feedback. Vinkius runs the connection inside a zero-trust V8 isolate sandbox, meaning your ATS data never touches a persistent disk.

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