Ashby MCP Server for LangChainGive LangChain instant access to 10 tools to Create Ashby Candidate, Get Ashby Application, Get Ashby Candidate, and more
LangChain is the leading Python framework for composable LLM applications. Connect Ashby 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 for LangChain
The Ashby MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 10 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({
"ashby-alternative": {
"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 Ashby, 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 Ashby MCP Server
Connect your Ashby account to any AI agent and take full control of your recruiting pipeline and candidate experience through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Ashby 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.
What you can do
- Candidate Orchestration — List and manage candidate profiles programmatically, including creating new records and retrieving high-fidelity profile metadata
- Application Lifecycle Management — Monitor job applications and retrieve detailed status metrics for specific candidates to coordinate your hiring funnel in real-time
- Interview Intelligence — Access scheduled interviews and retrieve submitted high-fidelity feedback reports to summarize performance and sentiment
- Job & Department Visibility — Retrieve complete directories of open jobs, departments, and hiring managers to maintain a perfectly coordinated organizational view
- User & Location Monitoring — Access your internal recruiter directory and physical office locations directly through your agent for instant operational reporting
The Ashby MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Ashby tools available for LangChain
When LangChain connects to Ashby through Vinkius, your AI agent gets direct access to every tool listed below — spanning applicant-tracking, talent-acquisition, hiring-pipeline, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create ashby candidate on Ashby
Create candidate
Get ashby application on Ashby
Get application details
Get ashby candidate on Ashby
Get candidate details
Get ashby job on Ashby
Get job details
List ashby applications on Ashby
List applications
List ashby candidates on Ashby
List candidates
List ashby feedback on Ashby
List feedback
List ashby interviews on Ashby
List interviews
List ashby jobs on Ashby
List jobs
List ashby users on Ashby
List users
Connect Ashby to LangChain via MCP
Follow these steps to wire Ashby into LangChain. The entire setup takes under two minutes — your credentials stay safe behind 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 Ashby MCP Server
LangChain provides unique advantages when paired with Ashby through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Ashby 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 Ashby queries for multi-turn workflows
Ashby + LangChain Use Cases
Practical scenarios where LangChain combined with the Ashby MCP Server delivers measurable value.
RAG with live data: combine Ashby tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Ashby, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Ashby tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Ashby tool call, measure latency, and optimize your agent's performance
Example Prompts for Ashby in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Ashby immediately.
"List all active candidates in my Ashby recruiting pipeline."
"Show the latest interview feedback for candidate ID 'cand_123'."
"Create a new candidate profile for 'Jane Smith' (jane@example.com)."
Troubleshooting Ashby MCP Server with LangChain
Common issues when connecting Ashby to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAshby + LangChain FAQ
Common questions about integrating Ashby 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?
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