Where do I find my Adtraction API Token?

Log in to your Adtraction account, navigate to **Account** > **Settings** > **API**. You can generate or retrieve your unique token there. It will be used in the `X-Token` header.

Can I see my earnings by advertiser?

Yes! Use the `get_stats_by_program` tool. Your agent will retrieve aggregated statistics for each advertiser you are partnered with, including commissions and conversion rates.

Does this support transaction status tracking?

Yes, the `list_transactions` tool provides the current status (Pending, Approved, Denied) for every sale or lead tracked in your account.

Adtraction MCP Server for LangChain 5 tools — connect in under 2 minutes

Name: Adtraction
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 5 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Adtraction 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({
        "adtraction": {
            "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 Adtraction, 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 Adtraction MCP Server

Connect your Adtraction affiliate account to your AI agent to unlock professional performance marketing management. From auditing advertiser programs across multiple categories to tracking real-time transactions and managing your product feeds, your agent handles your affiliate operations through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Adtraction through native MCP adapters. Connect 5 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

Program Management — List and retrieve details for available advertiser programs, including commission structures and categories
Transaction Auditing — Retrieve detailed logs of sales and leads to monitor your marketing performance and earnings status
Real-time Statistics — Retrieve performance data broken down by day or by advertiser program directly from chat
Product Feed Access — List and retrieve metadata for advertiser product feeds to support your affiliate content strategy
Channel Oversight — List and manage your approved marketing channels (websites, social media) within the network

The Adtraction MCP Server exposes 5 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 Adtraction to LangChain via MCP

Follow these steps to integrate the Adtraction 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 5 tools from Adtraction via MCP

Why Use LangChain with the Adtraction MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Adtraction 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 Adtraction queries for multi-turn workflows

Adtraction + LangChain Use Cases

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

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

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

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

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

Adtraction MCP Tools for LangChain (5)

These 5 tools become available when you connect Adtraction to LangChain via MCP:

get_program_details

Get program metadata

get_stats_by_program

Get performance stats per program

list_channels

List approved media channels

list_programs

List affiliate programs

list_transactions

List affiliate transactions

Example Prompts for Adtraction in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Adtraction immediately.

"List all advertiser programs in the 'Fashion' category."

"Show me my performance stats for today."

"Retrieve the latest 5 approved transactions."

Troubleshooting Adtraction MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Adtraction + LangChain FAQ

Common questions about integrating Adtraction 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.