How to Use the Adzuna Alternative MCP in LlamaIndex

Q: Can I filter which MCP tools my agent sees?

Use the allowedtools parameter during setup. This restricts the agent to just pulling job categories or top companies if you want to limit API spend.

Index live labor market analytics and job listings directly into your LlamaIndex knowledge base.

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Connect Adzuna Alternative MCP to LlamaIndex

Create your Vinkius account to connect Adzuna Alternative to LlamaIndex 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 LlamaIndex

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Embed historical salary data into vector stores

Running `get_history` pulls past compensation and vacancy data straight into your LlamaIndex documents. Your RAG setup can now answer questions about how tech salaries changed over the last five years using hard numbers. Combining this with `get_geodata` creates a localized knowledge base. Users query your index for regional hiring trends, and the system retrieves exact regional statistics instead of guessing.

Query compensation estimates with LlamaIndex MCP Server

The `get_jobsworth` tool calculates expected pay for any given job description. Your agent calls this function during a query and injects the estimate directly into the context window. Fetching `get_histogram` data adds distribution curves to that same context. This means your application builds answers based on the full spectrum of market rates rather than a single median number.

Ground HR applications in real-time job postings

Executing `search_jobs` retrieves active advertisements that LlamaIndex instantly embeds. Semantic search then matches candidate resumes against actual open positions on the market today. You can run `get_top_companies` to keep an updated index of high-volume employers. The FunctionAgent automatically routes user questions about hiring leaders to this specific tool.

Setup guide

Set up Adzuna Alternative MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Adzuna Alternative MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Adzuna Alternative tools.",
)
response = await agent.run("List recent Adzuna Alternative data")

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Common questions about Adzuna Alternative MCP in LlamaIndex

Grab the llama-index-tools-mcp package via pip. Set up a BasicMCPClient with your Vinkius URL and convert it using McpToolSpec.

You control the indexing layer. Storing the tool outputs in your vector store means subsequent identical queries hit the database instead of the live API.

It works out of the box. Pass the awaited tool list to the agent constructor and it figures out when to fetch salary data based on the user prompt.

Use the allowed_tools parameter during setup. This restricts the agent to just pulling job categories or top companies if you want to limit API spend.

Vinkius operates on a zero-trust architecture. Your specific salary queries and job search parameters pass through an ephemeral instance that destroys itself after returning the payload. No logs stick around.

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