Awin MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
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 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.
The largest ecosystem of integrations, chains, and agents. combine Awin 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 Awin queries for multi-turn workflows
Awin + LangChain Use Cases
Practical scenarios where LangChain combined with the Awin MCP Server delivers measurable value.
RAG with live data: combine Awin tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Awin, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Awin tools with web scrapers, databases, and calculators in a single agent run
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:
generate_tracking_link
Generate an Awin tracking link for a destination URL
get_account_check
Verify Awin connection and list available accounts
get_aggregated_report
Get aggregated performance reports
list_accounts
List all accounts (publisher/advertiser) you have access to
list_available_programmes
Helper to list only available programmes to join
list_joined_programmes
Helper to list only joined programmes
list_programmes
List joined or available advertiser programmes for a publisher
list_promotions
Retrieve details of promotions and voucher codes for a publisher
list_publishers
List all publishers with an active relationship (for advertisers)
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.
"List all advertiser programmes I have joined on Awin for Publisher ID 12345."
"Generate an Awin tracking link for https://example.com/product using Publisher 12345 and Advertiser 6789."
"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.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAwin + LangChain FAQ
Common questions about integrating Awin MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Awin with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Awin to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
