DataDive MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add DataDive 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="datadive_agent",
tools=tools,
system_message=(
"You help users with DataDive. "
"10 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 DataDive MCP Server
Integrate DataDive, the advanced toolset for Amazon sellers, directly into your AI workflow. Monitor product niches, track keyword rankings with Rank Radar, and analyze your sales profits and inventory levels using natural language.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use DataDive tools. Connect 10 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
- Niche Analysis — List and retrieve detailed metrics for product niches you are tracking.
- Keyword Tracking — Monitor organic and PPC rankings for any ASIN using Rank Radar data.
- Profit Oversight — Retrieve a high-level summary of your Amazon sales and financial performance.
- Inventory Management — Check current stock levels and get restock recommendations via chat.
The DataDive MCP Server exposes 10 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 DataDive to AutoGen via MCP
Follow these steps to integrate the DataDive 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 10 tools from DataDive automatically
Why Use AutoGen with the DataDive MCP Server
AutoGen provides unique advantages when paired with DataDive through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use DataDive tools to solve complex tasks
Role-based architecture lets you assign DataDive 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 DataDive tool calls
Code execution sandbox: AutoGen agents can write and run code that processes DataDive tool responses in an isolated environment
DataDive + AutoGen Use Cases
Practical scenarios where AutoGen combined with the DataDive MCP Server delivers measurable value.
Collaborative analysis: one agent queries DataDive while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from DataDive, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using DataDive data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process DataDive responses in a sandboxed execution environment
DataDive MCP Tools for AutoGen (10)
These 10 tools become available when you connect DataDive to AutoGen via MCP:
get_account_details
Returns metadata such as account tier, connected marketplace integrations, and subscription status. Retrieve metadata for your DataDive account
get_high_volume_keywords
Returns keywords with significant search volume and favorable competition metrics for ranking priority. List top performing keywords based on search volume and competition
get_inventory_status
Returns units in stock, inbound shipments, and daily sell-through rates to provide restock lead-time alerts. Check current inventory levels and restock recommendations
get_niche_details
Resolves high-level metrics such as average price, total niche volume, and competition score based on aggregated Amazon data. Get detailed analytics and metrics for a specific niche
get_profits_summary
Aggregates sales data, fees, and advertising spend to return net profit margins and ROI for the connected seller account. Retrieve a high-level financial summary of your Amazon sales
get_rank_radar
Returns real-time organic and sponsored positions across tracked keywords, enabling competitive visibility analysis. Get keyword ranking data (organic and PPC) for a specific ASIN
list_competitor_asins
Includes product titles, brand names, and baseline performance data. List all ASINs (competitors) tracked within a niche
list_niche_keywords
Returns search volume, relevancy scores, and priority indicators for product ranking and SEO optimization. List all keywords and search volumes for a specific niche
list_product_niches
Returns a collection of niche objects including name, marketplace (e.g., Amazon US), and tracking status. List all product niches tracked in your DataDive account
search_all_keywords
Matches against the global keyword repository in the user's account to find occurrences and metrics across multiple categories. Search for keywords across all your tracked niches
Example Prompts for DataDive in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with DataDive immediately.
"Show me the ranking data for ASIN 'B08S9DF7' using Rank Radar."
"List all product niches I'm currently tracking in DataDive."
"What is my profit summary for the last 30 days?"
Troubleshooting DataDive MCP Server with AutoGen
Common issues when connecting DataDive to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"DataDive + AutoGen FAQ
Common questions about integrating DataDive 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 DataDive 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.
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 DataDive to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.