Amazon DSP MCP Server for AutoGen 7 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Amazon DSP as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="amazon_dsp_agent",
tools=tools,
system_message=(
"You help users with Amazon DSP. "
"7 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Amazon DSP tools. Connect 7 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Amazon DSP MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 7 tools from Amazon DSP automatically
Why Use AutoGen with the Amazon DSP MCP Server
AutoGen provides unique advantages when paired with Amazon DSP through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Amazon DSP tools to solve complex tasks
Role-based architecture lets you assign Amazon DSP tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Amazon DSP tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Amazon DSP tool responses in an isolated environment
Amazon DSP + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Amazon DSP MCP Server delivers measurable value.
Collaborative analysis: one agent queries Amazon DSP while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Amazon DSP, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Amazon DSP data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Amazon DSP responses in a sandboxed execution environment
Amazon DSP MCP Tools for AutoGen (7)
These 7 tools become available when you connect Amazon DSP to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Amazon DSP to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Amazon DSP + AutoGen FAQ
Common questions about integrating Amazon DSP MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Amazon DSP with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
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 DSP to AutoGen
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
