Amazon Ads MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Amazon Ads as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Amazon Ads. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Amazon Ads?"
)
print(response)
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 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.
LlamaIndex agents combine Amazon Ads tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Amazon Ads MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Amazon Ads
Why Use LlamaIndex with the Amazon Ads MCP Server
LlamaIndex provides unique advantages when paired with Amazon Ads through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Amazon Ads tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Amazon Ads tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Amazon Ads, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Amazon Ads tools were called, what data was returned, and how it influenced the final answer
Amazon Ads + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Amazon Ads MCP Server delivers measurable value.
Hybrid search: combine Amazon Ads real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Amazon Ads to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Amazon Ads for fresh data
Analytical workflows: chain Amazon Ads queries with LlamaIndex's data connectors to build multi-source analytical reports
Amazon Ads MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Amazon Ads to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Amazon Ads to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAmazon Ads + LlamaIndex FAQ
Common questions about integrating Amazon Ads MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Amazon Ads with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
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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 Amazon Ads to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.