How to Use the Adzuna Alternative MCP in Pydantic AI

Q: What is the correct way to add the Adzuna Alternative MCP Server to Pydantic AI?

Use the unified MCPToolset approach. Pass your Vinkius HTTP endpoint URL into MCPToolset("http://...") and add it to your agent's toolsets list. Do not use the deprecated MCPServerHTTP class.

Bring strict type safety to labor market data. Connect Pydantic AI to real-time job listings and fail loudly on bad responses.

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Connect Adzuna Alternative MCP to Pydantic AI

Create your Vinkius account to connect Adzuna Alternative to Pydantic AI 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 Alternative with Pydantic AI

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Type-Safe Job Searches in Pydantic AI

Silent failures ruin production systems. When your agent calls `search_jobs`, Pydantic AI validates the incoming job advertisements against your predefined models. If the API returns a missing salary field, the system throws a validation error immediately. You dictate exactly what the data should look like. The agent pulls sector definitions via `get_categories` and ensures every subsequent search strictly adheres to those valid strings. Correctness takes priority over everything else in this framework.

Validate Salary Histograms

Processing compensation data requires absolute precision. The `get_histogram` tool fetches salary distributions, and your agent verifies the numerical arrays before passing them to downstream reporting tools. Bad data stops right at the boundary. The same strict rules apply to individual role estimates. Hitting `get_jobsworth` returns specific salary projections. Because you are using this MCP Server, the framework guarantees those projections match your expected schema before the LLM even sees them.

Audit Historical Market Trends

Time-series data is notoriously messy. Your setup uses `get_history` to pull past vacancy and pay metrics. The framework parses those timestamps and values, rejecting anything that does not fit your strict Pydantic definitions. You can cross-reference this with active regional data. The agent calls `get_geodata` for location-based vacancy counts and `get_top_companies` for employer rankings. Every single field gets checked at runtime.

Setup guide

Set up Adzuna Alternative MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "adzuna-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Adzuna Alternative tools.",
)

result = await agent.run("List recent Adzuna Alternative transactions")
print(result.output)

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Common questions about Adzuna Alternative MCP in Pydantic AI

Use the unified `MCPToolset` approach. Pass your Vinkius HTTP endpoint URL into `MCPToolset("http://...")` and add it to your agent's `toolsets` list. Do not use the deprecated `MCPServerHTTP` class.

Yes. That is the entire point of the framework. If the labor market API returns unexpected JSON structures for a job listing, Pydantic AI raises a validation error instead of hallucinating a fix.

You can. The framework is completely model-agnostic. You can route the job market data through OpenAI, Anthropic, or a local Llama instance, and the type validation remains exactly the same.

You must install the framework with MCP support included. Run `pip install "pydantic-ai-slim[mcp]"` to get the necessary transport dependencies for connecting to external endpoints.

Vinkius isolates every single request. When your agent queries specific job titles or regional salary bands, the operation runs in a temporary V8 sandbox. Once the API returns the JSON, the sandbox is destroyed, leaving no trace of your research criteria.

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