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How to Use the Nuviad Advertising MCP in LangChain

Chain together real-time mobile ad decisions in LangChain to adjust bids and pull performance reports automatically.

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…and any MCP-compatible client

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LangChain

Connect Nuviad Advertising MCP to LangChain

Create your Vinkius account to connect Nuviad Advertising to LangChain 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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Chain Nuviad mobile ad actions in LangChain

The `list_campaigns` tool pulls active campaign lists directly into your LangChain run, letting the next link in your chain make immediate bidding decisions. Your LangChain agent monitors campaign health and triggers `request_campaign_report` when performance drops below your target threshold. LangSmith logs every step of this process, keeping a clean record of exactly why a report was requested.

Automate micro-bid adjustments with LangChain agents

The `list_micro_bids` and `list_micro_margins` tools expose current bidding limits and margin targets to your LangChain agent for instant optimization. This setup eliminates manual spreadsheet audits. Because LangChain tracks token usage and tool outputs, you can audit how your agent handles micro-bids without guessing.

Build multi-server workflows using this MCP Server

This MCP Server works alongside other servers in your LangChain configuration to bridge the gap between marketing data and execution. By combining targeting lists from `list_targeting_lists` with external CRM tools via this MCP connection, your LangChain pipeline acts as a central hub for campaign management.

Setup guide

Set up Nuviad Advertising MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Nuviad Advertising tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

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

async with MultiServerMCPClient({
    "nuviad-advertising-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Nuviad Advertising transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nuviad. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Nuviad Advertising MCP in LangChain

Use the MultiServerMCPClient from langchain-mcp-adapters to point to the server's HTTP endpoint. Once connected, call client.get_tools() and pass them directly to your LangChain agent setup.
Yes. Your LangChain agent can call request_campaign_report and poll get_report_status in subsequent steps of the chain, preventing execution blocks.
LangChain catches API errors through standard exception handling in your chain. If list_targeting_lists fails, your agent can fall back to alternative logic or log the failure in LangSmith.
Yes, you can mix these tools with any of LangChain's 500+ integrations. You might pull details with list_creatives and send them to an image analysis tool in the same execution run.
Your campaign performance data, including micro-bids and creative lists, stays within your local LangChain execution environment. The Vinkius MCP host runs the server in an isolated sandbox, meaning your raw API credentials and bidding strategies are never exposed or stored.

Start using the Nuviad Advertising MCP today

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