How do I find my Amazon DSP 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. You also need your Advertiser ID.

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, it returns a `reportId`. You must wait a few moments and use the check status tool to download the data once it's ready.

Amazon DSP MCP Server for LlamaIndex 7 tools — connect in under 2 minutes

Name: Amazon DSP
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 7 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Amazon DSP as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 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 DSP. "
            "You have 7 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Amazon DSP?"
    )
    print(response)

asyncio.run(main())

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About Amazon DSP MCP Server

Connect your Amazon DSP (Demand-Side Platform) account to your AI agent to unlock professional programmatic advertising orchestration. From managing display and video campaigns to auditing audience segments and tracking performance reports, your agent handles your programmatic strategy through natural conversation.

LlamaIndex agents combine Amazon DSP tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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

Campaign Orchestration — List and manage DSP campaigns (formerly Orders) and monitor their budgets and delivery statuses
Ad Group Oversight — Retrieve details for ad groups (Line Items) to verify targeting and pacing settings
Creative Management — List and audit creative assets associated with your campaigns to ensure brand compliance
Audience Targeting — Retrieve custom audiences and segments used for precise programmatic targeting
Performance Reporting — Request and monitor asynchronous performance reports to analyze impressions, reach, and conversions

The Amazon DSP MCP Server exposes 7 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 DSP to LlamaIndex via MCP

Follow these steps to integrate the Amazon DSP 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 7 tools from Amazon DSP

Why Use LlamaIndex with the Amazon DSP MCP Server

LlamaIndex provides unique advantages when paired with Amazon DSP through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Amazon DSP tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Amazon DSP tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Amazon DSP, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Amazon DSP tools were called, what data was returned, and how it influenced the final answer

Amazon DSP + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Amazon DSP MCP Server delivers measurable value.

Hybrid search: combine Amazon DSP real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Amazon DSP 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 DSP for fresh data

Analytical workflows: chain Amazon DSP queries with LlamaIndex's data connectors to build multi-source analytical reports

Amazon DSP MCP Tools for LlamaIndex (7)

These 7 tools become available when you connect Amazon DSP to LlamaIndex via MCP:

get_campaign_details

Get campaign metadata

get_report_status

Check report status

list_ad_groups

List DSP ad groups

list_audiences

List audiences

list_campaigns

List DSP campaigns

list_creatives

List creatives

request_report

Request performance report

Example Prompts for Amazon DSP in LlamaIndex

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

"List my Amazon DSP campaigns."

"Show me the active ad groups for campaign ID '123456'."

"Request a DSP performance report for yesterday."

Troubleshooting Amazon DSP MCP Server with LlamaIndex

Common issues when connecting Amazon DSP to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Amazon DSP + LlamaIndex FAQ

Common questions about integrating Amazon DSP MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Amazon DSP tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.