Where do I find my AdsWizz API Key?

API access must be provisioned by your AdsWizz account manager. Once enabled, you can generate an API key from the MyAdsWizz developer portal or account settings. You will also need to know your specific instance URL.

Can I check the targeting rules for a specific campaign?

Yes! Use the `get_campaign` tool with the Campaign ID. It will return the full configuration, including geographic, demographic, and device targeting rules.

Does this work for podcast advertising?

Absolutely. AdsWizz handles dynamic ad insertion (DAI) for podcasts. You can use the `list_zones` tool to manage podcast inventory placements.

AdsWizz MCP Server for LlamaIndex 4 tools — connect in under 2 minutes

Name: AdsWizz
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 4 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AdsWizz as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to AdsWizz. "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in AdsWizz?"
    )
    print(response)

asyncio.run(main())

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About AdsWizz MCP Server

Connect your AdsWizz account to your AI agent to orchestrate your digital audio advertising ecosystem. From managing programmatic audio campaigns to auditing publisher inventory and setting up precise targeting, your agent handles the AudioServe and AudioMatic workflows through natural conversation.

LlamaIndex agents combine AdsWizz tool responses with indexed documents for comprehensive, grounded answers. Connect 4 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Campaign Orchestration — List, retrieve, and monitor audio advertising campaigns across your network
Inventory Management — Audit active zones and publisher placements to ensure optimal ad delivery
Targeting Oversight — Retrieve and verify targeting parameters (geo, device, behavioral) for specific campaigns
Reporting & Analytics — Access aggregated performance reports including impressions, listens, and completion rates
Creative Verification — List ad creatives and verify companion banner configurations for interactive audio ads

The AdsWizz MCP Server exposes 4 tools through the Vinkius. Connect it to LlamaIndex 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 AdsWizz to LlamaIndex via MCP

Follow these steps to integrate the AdsWizz MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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 AdsWizz

Why Use LlamaIndex with the AdsWizz MCP Server

LlamaIndex provides unique advantages when paired with AdsWizz through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine AdsWizz tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain AdsWizz tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query AdsWizz, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what AdsWizz tools were called, what data was returned, and how it influenced the final answer

AdsWizz + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the AdsWizz MCP Server delivers measurable value.

Hybrid search: combine AdsWizz real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query AdsWizz to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying AdsWizz for fresh data

Analytical workflows: chain AdsWizz queries with LlamaIndex's data connectors to build multi-source analytical reports

AdsWizz MCP Tools for LlamaIndex (4)

These 4 tools become available when you connect AdsWizz to LlamaIndex via MCP:

get_audio_performance

Filterable by date. Get audio ad metrics

get_campaign

Get campaign details

list_campaigns

List audio ad campaigns

list_zones

g. podcasts, streams). List ad zones/inventory

Example Prompts for AdsWizz in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with AdsWizz immediately.

"List all active audio campaigns."

"Retrieve the targeting details for campaign ID 45678."

"List the ad zones available for my publisher account."

Troubleshooting AdsWizz MCP Server with LlamaIndex

Common issues when connecting AdsWizz to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

AdsWizz + LlamaIndex FAQ

Common questions about integrating AdsWizz MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query AdsWizz tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.