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 LangChain 4 tools — connect in under 2 minutes

Name: AdsWizz
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 4 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect AdsWizz through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "adswizz": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using AdsWizz, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 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.

LangChain's ecosystem of 500+ components combines seamlessly with AdsWizz through native MCP adapters. Connect 4 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 4 tools from AdsWizz via MCP

Why Use LangChain with the AdsWizz MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine AdsWizz MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across AdsWizz queries for multi-turn workflows

AdsWizz + LangChain Use Cases

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

RAG with live data: combine AdsWizz tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query AdsWizz, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain AdsWizz tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every AdsWizz tool call, measure latency, and optimize your agent's performance

AdsWizz MCP Tools for LangChain (4)

These 4 tools become available when you connect AdsWizz to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

AdsWizz + LangChain FAQ

Common questions about integrating AdsWizz MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.