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 CrewAI 5 tools — connect in under 2 minutes

Name: Adrecord
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 5 Tools Framework

Connect your CrewAI agents to Adrecord through Vinkius, pass the Edge URL in the `mcps` parameter and every Adrecord tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Adrecord Specialist",
    goal="Help users interact with Adrecord effectively",
    backstory=(
        "You are an expert at leveraging Adrecord tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Adrecord "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 5 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Adrecord becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Adrecord tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Adrecord MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 5 tools from Adrecord

Why Use CrewAI with the Adrecord MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Adrecord through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Adrecord + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Adrecord for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Adrecord, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Adrecord tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Adrecord against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Adrecord MCP Tools for CrewAI (5)

These 5 tools become available when you connect Adrecord to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Adrecord + CrewAI FAQ

Common questions about integrating Adrecord MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.