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Awin MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Awin through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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({
        "awin": {
            "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 Awin, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Awin
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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 Awin MCP Server

Orchestrate your affiliate marketing performance with Awin, the world's leading affiliate network. By connecting Awin to your AI agent, you transform complex data retrieval and program management into a natural conversation. Your agent can instantly audit transaction history, list joined advertiser programmes, retrieve real-time performance reports, and even generate tracked affiliate links without you ever touching a dashboard. Whether you're a publisher optimizing revenue or an advertiser monitoring relationships, your agent acts as a direct bridge to your Awin account, ensuring your marketing efforts are always data-driven and efficient.

LangChain's ecosystem of 500+ components combines seamlessly with Awin through native MCP adapters. Connect 10 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

  • Account Oversight — List all publisher and advertiser accounts you have access to across the Awin network.
  • Programme Management — Explore joined or available advertiser programmes, auditing relationship statuses and requirements.
  • Transaction Auditing — Retrieve detailed lists of individual transactions, complete with metadata, status, and conversion values.
  • Performance Reporting — Access aggregated performance reports to analyze revenue and conversion trends over specific timeframes.
  • Link Generation — Instantly generate tracking links for destination URLs to ensure your affiliate traffic is correctly attributed.

The Awin MCP Server exposes 10 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 Awin to LangChain via MCP

Follow these steps to integrate the Awin MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Awin via MCP

Why Use LangChain with the Awin MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Awin MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Awin queries for multi-turn workflows

Awin + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Awin MCP Tools for LangChain (10)

These 10 tools become available when you connect Awin to LangChain via MCP:

01

generate_tracking_link

Generate an Awin tracking link for a destination URL

02

get_account_check

Verify Awin connection and list available accounts

03

get_aggregated_report

Get aggregated performance reports

04

list_accounts

List all accounts (publisher/advertiser) you have access to

05

list_available_programmes

Helper to list only available programmes to join

06

list_joined_programmes

Helper to list only joined programmes

07

list_programmes

List joined or available advertiser programmes for a publisher

08

list_promotions

Retrieve details of promotions and voucher codes for a publisher

09

list_publishers

List all publishers with an active relationship (for advertisers)

10

list_transactions

List individual transactions for a publisher (max 31 days)

Example Prompts for Awin in LangChain

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

01

"List all advertiser programmes I have joined on Awin for Publisher ID 12345."

02

"Generate an Awin tracking link for https://example.com/product using Publisher 12345 and Advertiser 6789."

03

"Show my aggregated performance report for the last 7 days in UTC."

Troubleshooting Awin MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Awin + LangChain FAQ

Common questions about integrating Awin MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Awin to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.