How to Use the Adtraction MCP in LangChain

Build multi-step affiliate pipelines in LangChain by chaining Adtraction tool outputs into your agent's reasoning logic.

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Connect Adtraction MCP to LangChain

Create your Vinkius account to connect Adtraction 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 Adtraction with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain Adtraction metrics into LangChain agents

Feed program metadata directly into your logic chains. Your agent invokes `get_program_details` and passes the result to subsequent chain links to automate reporting. LangSmith tracing records every move. You see exactly how the agent decides to trigger `list_programs` based on your specific chain parameters.

Automate transaction auditing in LangChain

Connect `list_transactions` to your data analysis chain. The agent pulls raw records and routes them into vector stores or databases for immediate reconciliation. This MCP Server keeps your LangChain pipeline stateless. Each session handles data fresh, ensuring your audit trails remain accurate.

Program performance monitoring via LangChain

Query `get_stats_by_program` to drive agent decisions. When stats dip, your chain triggers alerts or updates your marketing strategy automatically. Combine this with `list_channels` to map your reach. Your agent correlates media channel performance against real-time affiliate data without manual input.

Setup guide

Set up Adtraction 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 Adtraction 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({
    "adtraction-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 Adtraction 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 Adtraction. 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 Adtraction MCP in LangChain

Install the necessary adapters and initialize the MultiServerMCPClient. Point your configuration to the provided endpoint URL to register the tools.

Yes, it supports multi-server aggregation. You can combine Adtraction data with other MCP tools within the same LangChain agent.

By default, the connection is stateless. Use the client session method if you need to maintain context between different chain executions.

The agent treats each tool call as a discrete step. You define the sequence, and the framework passes the output of one tool as input to the next.

Vinkius handles authentication via a single endpoint token. Your transaction records and affiliate program details never leave the secure, ephemeral sandbox environment.

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