How do I find my Publisher ID for queries?

Use the `list_accounts` tool. It will return all accounts associated with your token, including their unique IDs and account types (Publisher or Advertiser).

Can I filter transactions by status?

Yes. When using the `list_transactions` tool, you can provide a status parameter such as 'pending', 'approved', 'declined', or 'deleted' to narrow down your results.

How far back can I retrieve transaction data?

The Awin API allows you to retrieve individual transactions for a maximum range of 31 days per request. For longer periods, you may need to perform multiple targeted queries.

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

Name: Awin
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Awin through Vinkius, pass the Edge URL in the `mcps` parameter and every Awin 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="Awin Specialist",
    goal="Help users interact with Awin effectively",
    backstory=(
        "You are an expert at leveraging Awin 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 Awin "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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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 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.

When paired with CrewAI, Awin becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Awin 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

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 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 Awin to CrewAI via MCP

Follow these steps to integrate the Awin 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 10 tools from Awin

Why Use CrewAI with the Awin MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Awin 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

Awin + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Awin 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 Awin, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Awin 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 Awin against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Awin MCP Tools for CrewAI (10)

These 10 tools become available when you connect Awin to CrewAI 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 CrewAI

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

Common issues when connecting Awin 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.

Awin + CrewAI FAQ

Common questions about integrating Awin 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.