How to Use the Awin MCP in LangChain

Q: How do I connect the Awin MCP Server to LangChain?

Install langchain-mcp-adapters. Use MultiServerMCPClient with the Vinkius HTTP transport URL. Call client.gettools() and pass them to your ReAct agent.

Q: Can LangChain agents generate Awin tracking links automatically?

Yes. The agent calls the generatetrackinglink tool with a target URL. It returns the formatted affiliate link to use in your next chain step.

Q: How do I pull performance reports across multiple Awin accounts?

Build a sequence that runs listaccounts first. Your agent iterates through the returned IDs and executes getaggregatedreport for each one.

Build multi-step affiliate marketing pipelines linking Awin data directly into your LangChain agents via MCP.

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Connect Awin MCP to LangChain

Create your Vinkius account to connect Awin 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 Awin with LangChain

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Automate Affiliate Tracking in LangChain

Your ReAct agent needs to generate tracking links on the fly. You drop the `generate_tracking_link` tool into your chain. The agent takes a raw destination URL, fires it off to Awin, and gets the formatted affiliate link back in milliseconds. That output feeds straight into your next LangChain node. Maybe you pipe it into a Twitter bot or a newsletter generator. You track the exact latency and token usage for the whole sequence inside LangSmith.

Chain Advertiser Data to Reports

Stop pulling reports manually. You build an MCP pipeline that first hits `list_joined_programmes` to find active advertiser relationships. The agent stores that context, then loops through those IDs using `get_aggregated_report`. It pulls performance metrics across your entire portfolio. You get a single, unified data object back. The agent decides if a specific program needs a deeper look and triggers `list_transactions` to pull individual sales data from the last 31 days.

Monitor Promotions Autonomously

Affiliate marketing relies on timing. Your MCP Server runs a scheduled chain calling `list_promotions` to grab fresh voucher codes. It filters out expired deals before they ever hit your database. If a connection drops, the agent runs `get_account_check` to verify access. You catch authentication errors in your LangSmith traces before they break your live campaigns.

Setup guide

Set up Awin 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 Awin 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({
    "awin-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 Awin transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Awin MCP in LangChain

Install `langchain-mcp-adapters`. Use `MultiServerMCPClient` with the Vinkius HTTP transport URL. Call `client.get_tools()` and pass them to your ReAct agent.

Yes. The agent calls the `generate_tracking_link` tool with a target URL. It returns the formatted affiliate link to use in your next chain step.

Every tool execution logs directly to LangSmith. You see exactly how long `list_transactions` took and what inputs your agent passed to the Awin endpoint.

Build a sequence that runs `list_accounts` first. Your agent iterates through the returned IDs and executes `get_aggregated_report` for each one.

Vinkius handles the Awin auth token in an isolated sandbox. Your LangChain agent only receives the raw transaction records and commission amounts during the execution, and nothing gets stored on our end.

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