Adzuna MCP Server for CrewAI 4 tools — connect in under 2 minutes
Connect your CrewAI agents to Adzuna through Vinkius, pass the Edge URL in the `mcps` parameter and every Adzuna tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Adzuna Specialist",
goal="Help users interact with Adzuna effectively",
backstory=(
"You are an expert at leveraging Adzuna tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Adzuna "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 4 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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.
When paired with CrewAI, Adzuna becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Adzuna tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 CrewAI 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 CrewAI via MCP
Follow these steps to integrate the Adzuna MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 4 tools from Adzuna
Why Use CrewAI with the Adzuna MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Adzuna through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Adzuna + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Adzuna MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Adzuna for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Adzuna, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Adzuna tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Adzuna against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Adzuna MCP Tools for CrewAI (4)
These 4 tools become available when you connect Adzuna to CrewAI 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 CrewAI
Ready-to-use prompts you can give your CrewAI 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 CrewAI
Common issues when connecting Adzuna to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Adzuna + CrewAI FAQ
Common questions about integrating Adzuna MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 CrewAI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.