How to Use the Adzuna MCP in CrewAI

Q: How do I add the Adzuna MCP Server to my CrewAI setup?

Install crewaitools and pass the HTTP endpoint into your agent's mcps list. For granular control, import MCPServerHTTP to filter exactly which tools each specialized agent can access.

Deploy autonomous agent crews to research job markets and analyze salary trends using CrewAI and the Adzuna MCP Server.

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Connect Adzuna MCP to CrewAI

Create your Vinkius account to connect Adzuna to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Adzuna with CrewAI

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Autonomous Market Research Crews

The `search_jobs` tool gives your researcher agent direct access to thousands of vacancies across multiple countries. You assign one agent to scrape job listings by postcode while another reviews the output. These specialized agents share memory throughout the session. The researcher finds the open roles, and the analyst agent immediately begins processing those specific titles without needing human intervention.

Hierarchical Salary Analysis

`get_salary_history` allows your financial analyst agent to pull long-term pay trends for specific roles. A manager agent can then direct a secondary worker to fetch current market distributions using `get_salary_histogram`. This setup creates a fully autonomous operation where agents delegate tasks based on incoming data. The crew evaluates historical context against current histograms to output a final market report.

CrewAI MCP Server Integration

Your competitive intelligence agent relies on `list_top_companies` to identify who is hiring in specific categories. You pass the server URL directly into your agent's `mcps` array for instant access. Advanced setups use `MCPServerHTTP` with a `tool_filter` to restrict which agents can see specific employer lists. A monitor agent watches the entire session while the primary crew executes the company research.

Setup guide

Set up Adzuna MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Adzuna tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Adzuna Analyst",
    goal="Access and analyze Adzuna data via MCP.",
    backstory="Expert analyst with direct Adzuna access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Adzuna transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Adzuna Analyst",
        goal="Access and analyze Adzuna data via MCP.",
        backstory="Expert analyst with direct Adzuna access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Adzuna transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Adzuna. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Adzuna MCP in CrewAI

Install `crewai[tools]` and pass the HTTP endpoint into your agent's `mcps` list. For granular control, import `MCPServerHTTP` to filter exactly which tools each specialized agent can access.

Agents maintain shared memory during execution. One worker pulls the vacancy listings, and the next worker in the sequence reads that exact data to perform its analysis.

You assign the history tool to a specific data-gathering agent. In a hierarchical setup, a manager agent decides when that worker needs to pull historical trends based on the current context.

The server connects via stdio, SSE, or Streamable HTTP. CrewAI handles the transport layer automatically when you provide the endpoint URL.

The system processes your target job categories and postal codes inside an isolated Vinkius sandbox. Once your crew finishes its hierarchical execution, the ephemeral environment disappears entirely along with your search data.

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