How to Use the Adtelligent MCP in LangChain

Chain Adtelligent tools in LangChain to automate your DSP campaign management and SSP reporting pipelines.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Adtelligent MCP to LangChain

Create your Vinkius account to connect Adtelligent 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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Setup Adtelligent with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build reasoning chains with LangChain

Feed Adtelligent output directly into your next agent step. You can pass the result of `list_campaigns` into an analysis chain to determine budget allocation without manual intervention. This MCP Server lets your agent decide when to pull data. It links the tool execution flow so your logic remains observable in LangSmith from start to finish.

Automate DSP campaign oversight

Connect your agent to `list_advertisers` to monitor performance across your portfolio. Your LangChain workflows will treat these records as native inputs for dynamic decision-making. Stop writing static scripts for your ad operations. These tools allow your agent to verify active campaigns and trigger updates based on real-time data.

Direct SSP performance reporting

Request your revenue metrics using `get_ssp_report` inside your agent loop. It provides raw data that your chain can parse for immediate trend analysis. Your agent handles the auth tokens securely while you focus on the logic. This setup keeps your reporting metrics synced with your broader adtech stack.

Setup guide

Set up Adtelligent MCP in LangChain

Prerequisites

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

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

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

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Adtelligent tool calls through the MCP protocol.
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({
    "adtelligent-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 Adtelligent transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Adtelligent. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Adtelligent MCP in LangChain

Install the MCP adapters and point your client to our HTTP endpoint. You will then inject the tool list into your agent constructor to start executing commands.

Yes, every tool call acts as an input for the next step. You can chain reporting data from one tool into a logic block for your campaign manager.

Absolutely. Since these are standard MCP tools, every interaction is tracked in your LangSmith dashboard for full visibility into latency and tool usage.

You provide your SSP Auth Token directly to the server configuration. The Vinkius sandbox keeps your keys isolated from other processes.

We keep your SSP statistics and advertiser lists within an ephemeral memory space. No logs persist beyond your active agent session.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python