Amazon Marketing Cloud MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Amazon Marketing Cloud 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 Marketing Cloud. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Amazon Marketing Cloud?"
)
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 Marketing Cloud MCP Server
Connect your Amazon Marketing Cloud (AMC) instance to your AI agent to unlock professional cross-channel advertising analytics. From defining SQL-based workflows to executing ad-hoc queries and retrieving secure download URLs for your reports, your agent handles your AMC data pipelines through natural conversation.
LlamaIndex agents combine Amazon Marketing Cloud tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Workflow Orchestration — List, retrieve, and manage saved SQL workflows to standardize your analytics
- Execution Management — Trigger new workflow executions or ad-hoc SQL queries and monitor their processing status
- Results Retrieval — Securely fetch S3 download URLs for completed execution outputs directly from chat
- Task Oversight — Audit recent execution history and cancel long-running or stalled queries
- Data Insights — Quickly organize and trigger complex multi-touch attribution queries without navigating the AWS console
The Amazon Marketing Cloud MCP Server exposes 10 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 Marketing Cloud to LlamaIndex via MCP
Follow these steps to integrate the Amazon Marketing Cloud 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 10 tools from Amazon Marketing Cloud
Why Use LlamaIndex with the Amazon Marketing Cloud MCP Server
LlamaIndex provides unique advantages when paired with Amazon Marketing Cloud through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Amazon Marketing Cloud tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Amazon Marketing Cloud tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Amazon Marketing Cloud, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Amazon Marketing Cloud tools were called, what data was returned, and how it influenced the final answer
Amazon Marketing Cloud + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Amazon Marketing Cloud MCP Server delivers measurable value.
Hybrid search: combine Amazon Marketing Cloud real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Amazon Marketing Cloud 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 Marketing Cloud for fresh data
Analytical workflows: chain Amazon Marketing Cloud queries with LlamaIndex's data connectors to build multi-source analytical reports
Amazon Marketing Cloud MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Amazon Marketing Cloud to LlamaIndex via MCP:
create_execution
Execute an AMC query
create_workflow
Create an AMC workflow
delete_execution
Cancel an execution
delete_workflow
Delete an AMC workflow
get_execution_download_urls
Get execution download URLs
get_execution_status
g. PENDING, COMPLETED). Check execution status
get_workflow_details
Get workflow details
list_executions
List workflow executions
list_workflows
List AMC workflows
update_workflow
Update an AMC workflow
Example Prompts for Amazon Marketing Cloud in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Amazon Marketing Cloud immediately.
"List my saved AMC workflows."
"Check the status of execution ID 'exec-12345'."
"Execute workflow 'wkfl-98765' for the last 7 days."
Troubleshooting Amazon Marketing Cloud MCP Server with LlamaIndex
Common issues when connecting Amazon Marketing Cloud to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAmazon Marketing Cloud + LlamaIndex FAQ
Common questions about integrating Amazon Marketing Cloud 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 Marketing Cloud 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 Marketing Cloud to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.