How do I find my Amazon Ads API credentials?

You need to create a 'Login with Amazon' application in the Amazon Developer Console to get your Client ID and Client Secret. Then, you generate a Refresh Token. The agent will use these to obtain short-lived Access Tokens.

How do I choose the correct region?

Select the region that matches your target marketplace: **NA** (North America - US, CA, MX, BR), **EU** (Europe - UK, DE, FR, IT, ES, etc.), or **FE** (Far East - JP, AU, SG).

Why do reports take time to generate?

Amazon Ads reporting API is asynchronous. When you request a report using the `request_sp_report` tool, it returns a `reportId`. You must wait a few moments and use the `get_report_status` tool to download the data once it's ready.

Amazon Ads MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Amazon Ads
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Amazon Ads through Vinkius, pass the Edge URL in the `mcps` parameter and every Amazon Ads 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

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Amazon Ads Specialist",
    goal="Help users interact with Amazon Ads effectively",
    backstory=(
        "You are an expert at leveraging Amazon Ads 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 Amazon Ads "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

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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 Amazon Ads MCP Server

Connect your Amazon Ads account to your AI agent to unlock professional campaign orchestration and performance tracking. From auditing Sponsored Products and Sponsored Brands to generating asynchronous performance reports and managing keyword bids, your agent handles your e-commerce advertising strategy through natural conversation.

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

Profile Oversight — Retrieve Amazon Ads profiles to manage campaigns across different global marketplaces
Campaign Orchestration — List and audit Sponsored Products and Sponsored Brands campaigns to monitor active budgets
Ad Group & Keyword Management — List ad groups and targeted keywords to ensure your products appear in the right search results
Performance Reporting — Request and retrieve asynchronous reports to analyze clicks, impressions, and ad spend
Advertising Insights — Quickly identify underperforming keywords or out-of-budget campaigns directly from your chat interface

The Amazon Ads MCP Server exposes 8 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 Amazon Ads to CrewAI via MCP

Follow these steps to integrate the Amazon Ads 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 8 tools from Amazon Ads

Why Use CrewAI with the Amazon Ads MCP Server

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

Amazon Ads + CrewAI Use Cases

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

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

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

Amazon Ads MCP Tools for CrewAI (8)

These 8 tools become available when you connect Amazon Ads to CrewAI via MCP:

get_report_status

Check report status

list_profiles

List advertiser profiles

list_sb_campaigns

List Sponsored Brands campaigns

list_sb_keywords

List SB keywords

list_sp_ad_groups

List SP ad groups

list_sp_campaigns

List Sponsored Products campaigns

list_sp_keywords

List SP keywords

request_sp_report

Request performance report

Example Prompts for Amazon Ads in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Amazon Ads immediately.

"List my Amazon Ads profiles."

"Show me the active Sponsored Products campaigns for profile ID '123456'."

"Request a campaign performance report for yesterday (Profile ID '123456')."

Troubleshooting Amazon Ads MCP Server with CrewAI

Common issues when connecting Amazon Ads 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.

Amazon Ads + CrewAI FAQ

Common questions about integrating Amazon Ads 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.