Adzuna MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Adzuna as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Adzuna. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in Adzuna?"
)
print(response)
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.
LlamaIndex agents combine Adzuna tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Adzuna MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 4 tools from Adzuna
Why Use LlamaIndex with the Adzuna MCP Server
LlamaIndex provides unique advantages when paired with Adzuna through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Adzuna tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Adzuna tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Adzuna, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Adzuna tools were called, what data was returned, and how it influenced the final answer
Adzuna + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Adzuna MCP Server delivers measurable value.
Hybrid search: combine Adzuna real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Adzuna to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Adzuna for fresh data
Analytical workflows: chain Adzuna queries with LlamaIndex's data connectors to build multi-source analytical reports
Adzuna MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect Adzuna to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Adzuna to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAdzuna + LlamaIndex FAQ
Common questions about integrating Adzuna MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.