Adzuna MCP Server for LangChain 4 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Adzuna 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({
"adzuna": {
"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 Adzuna, 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 Adzuna MCP Server
Connect your Adzuna developer account to your AI agent to unlock a powerful job search and labor market intelligence engine. From finding the latest vacancies based on keywords and location to retrieving historical salary data and identifying top employers, your agent handles employment data through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Adzuna through native MCP adapters. Connect 4 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
- Comprehensive Job Search — Search for thousands of job listings across multiple countries using keywords, Postcodes, and categories
- Salary Benchmarking — Retrieve average salary data and distributions (histograms) for specific job roles and locations
- Employment Trends — Access historical salary data to monitor how compensation for specific skills changes over time
- Market Insights — List top hiring companies and explore geodata to identify regions with the highest job density
- Career Auditing — Quickly retrieve job details including descriptions, contract types, and redirect URLs directly from chat
The Adzuna MCP Server exposes 4 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 Adzuna to LangChain via MCP
Follow these steps to integrate the Adzuna 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 4 tools from Adzuna via MCP
Why Use LangChain with the Adzuna MCP Server
LangChain provides unique advantages when paired with Adzuna through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Adzuna 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 Adzuna queries for multi-turn workflows
Adzuna + LangChain Use Cases
Practical scenarios where LangChain combined with the Adzuna MCP Server delivers measurable value.
RAG with live data: combine Adzuna tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Adzuna, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Adzuna tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Adzuna tool call, measure latency, and optimize your agent's performance
Adzuna MCP Tools for LangChain (4)
These 4 tools become available when you connect Adzuna to LangChain via MCP:
get_salary_histogram
Retrieve a histogram distribution of current average salaries for a specified search query
get_salary_history
Retrieve the historical average salary trends over time for a specific job title and country
list_top_companies
List the top hiring companies and employers based on a specific job category or keyword
search_jobs
You must provide a valid 2-letter country code. Search for thousands of job vacancies across multiple countries using keywords, Postcodes, and categories
Example Prompts for Adzuna in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Adzuna immediately.
"Search for 'Python Developer' jobs in London."
"Show me the average salary history for 'Data Scientist' in the US."
"What are the top hiring companies for 'Sales' roles in Brazil?"
Troubleshooting Adzuna MCP Server with LangChain
Common issues when connecting Adzuna to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAdzuna + LangChain FAQ
Common questions about integrating Adzuna 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 Adzuna 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 Adzuna to LangChain
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.