Adzuna MCP Server for Pydantic AI 4 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Adzuna through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Adzuna "
"(4 tools)."
),
)
result = await agent.run(
"What tools are available in Adzuna?"
)
print(result.data)
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.
Pydantic AI validates every Adzuna tool response against typed schemas, catching data inconsistencies at build time. Connect 4 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Adzuna MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Adzuna MCP Server
Pydantic AI provides unique advantages when paired with Adzuna through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Adzuna integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Adzuna connection logic from agent behavior for testable, maintainable code
Adzuna + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Adzuna MCP Server delivers measurable value.
Type-safe data pipelines: query Adzuna with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Adzuna tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Adzuna and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Adzuna responses and write comprehensive agent tests
Adzuna MCP Tools for Pydantic AI (4)
These 4 tools become available when you connect Adzuna to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Adzuna to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAdzuna + Pydantic AI FAQ
Common questions about integrating Adzuna MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.