Amazon DSP MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Amazon DSP through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"amazon-dsp": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Amazon DSP, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Amazon DSP through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Amazon DSP MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 7 tools from Amazon DSP via MCP
Why Use LangChain with the Amazon DSP MCP Server
LangChain provides unique advantages when paired with Amazon DSP through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Amazon DSP MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Amazon DSP queries for multi-turn workflows
Amazon DSP + LangChain Use Cases
Practical scenarios where LangChain combined with the Amazon DSP MCP Server delivers measurable value.
RAG with live data: combine Amazon DSP tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Amazon DSP, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Amazon DSP tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Amazon DSP tool call, measure latency, and optimize your agent's performance
Amazon DSP MCP Tools for LangChain (7)
These 7 tools become available when you connect Amazon DSP to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Amazon DSP to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAmazon DSP + LangChain FAQ
Common questions about integrating Amazon DSP MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.