Ashby MCP Server for LangChain 10 tools — connect in under 2 minutes
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
Vinkius supports streamable HTTP and SSE.
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": {
"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
The Ashby MCP Server provides a direct natural language interface to your Ashby recruiting platform. Empower your AI agent to manage your hiring pipeline, from job listing analysis to candidate search and application tracking.
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.
Key Features
- Job Management — List all open, closed, and archived jobs, and retrieve detailed metadata for any specific position.
- Candidate Sourcing — Search for candidates by name or email and access full profiles, including tags and contact details.
- Application Tracking — Monitor the status of job applications and filter by job ID or workflow stage (e.g., Hired, Lead).
- Interview Oversight — Retrieve lists of scheduled interviews to stay on top of your recruiting calendar.
- Search Intelligence — Use powerful search tools to quickly find the right talent or job openings in your organization.
- Secure Integration — Uses secure HTTP Basic Authentication with your Ashby API key.
The Ashby MCP Server exposes 10 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.
How to Connect Ashby to LangChain via MCP
Follow these steps to integrate the Ashby MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Ashby via MCP
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
Ashby MCP Tools for LangChain (10)
These 10 tools become available when you connect Ashby to LangChain via MCP:
get_account_check
Verify Ashby account connection
get_application_info
Get details for a specific application
get_candidate_info
Get detailed information for a specific candidate
get_job_info
Get detailed information for a specific job
list_applications
List all job applications
list_candidates
List all candidates in Ashby
list_interviews
List all interviews
list_jobs
Supports status filtering. List all job listings in Ashby
search_candidates
Search for candidates by email or name
search_jobs
Search for jobs by title
Example Prompts for Ashby in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Ashby immediately.
"List all currently opened jobs in Ashby."
"Search for a candidate named 'John Doe'."
"Show me the details of application 'app_998877'."
Troubleshooting Ashby MCP Server with LangChain
Common issues when connecting Ashby to LangChain through the 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?
Connect Ashby with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Ashby to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
