Where do I find my Adrecord API Token?

Log in to your account (Adrecord or Adtraction), navigate to **Account** > **Settings**. You can generate or retrieve your API Token there. It will be used in the `X-Token` header for all requests.

Can I see my pending commissions?

Yes! Use the `list_transactions` tool to retrieve all tracked sales and leads, including their current status (Pending, Approved, Denied) and commission amounts.

Does this server support product feeds?

Yes, you can use the `get_product_feed` tool to retrieve structured product data from advertisers you are partnered with.

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

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Adrecord MCP Server

Connect your Adrecord (powered by Adtraction) affiliate account to your AI agent to unlock professional performance marketing management. From auditing advertiser programs to tracking real-time sales and managing your media channels, your agent handles your affiliate ecosystem through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Adrecord 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 rates and rules
Transaction Auditing — Retrieve detailed logs of sales and leads to monitor your marketing performance and ROI
Channel Oversight — List and manage your registered media channels (websites, social media) across the network
Product Feed Access — Retrieve and audit product data from advertisers to power your affiliate content
Performance Insights — Quickly identify top-performing programs and track your pending earnings directly from chat

The Adrecord 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 Adrecord to LangChain via MCP

Follow these steps to integrate the Adrecord 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 Adrecord via MCP

Why Use LangChain with the Adrecord MCP Server

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

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

Adrecord + LangChain Use Cases

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

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

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

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

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

Adrecord MCP Tools for LangChain (5)

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

get_product_feed

Fetch advertiser product data

get_program_details

Get program metadata

list_channels

List media channels

list_programs

List advertiser programs

list_transactions

Filterable by status. List sales and leads

Example Prompts for Adrecord in LangChain

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

"List all active advertiser programs I am partnered with."

"Show me all transactions from the last 30 days."

"Retrieve the product feed for program ID 5678."

Troubleshooting Adrecord MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Adrecord + LangChain FAQ

Common questions about integrating Adrecord 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.