How to Use the DataDive MCP in CrewAI

Q: How do I give my CrewAI agents access to DataDive tools?

Pass your Vinkius HTTP endpoint directly into the mcps array when defining your agents. CrewAI automatically discovers and configures all available tools for your crew.

Q: Can I limit which DataDive tools a specific CrewAI agent can use?

Yes. Use MCPServerHTTP from crewai.mcp and apply a toolfilter. This lets you restrict your SEO agent to listnichekeywords while keeping financial tools private.

Q: How do CrewAI agents share keyword data from this MCP Server?

Agents use CrewAI's shared memory. When one agent runs searchallkeywords, the resulting keyword metrics are instantly accessible to other agents in the crew for further analysis.

Run autonomous multi-agent teams to dominate Amazon niches using CrewAI.

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Connect DataDive MCP to CrewAI

Create your Vinkius account to connect DataDive to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup DataDive with CrewAI

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Deploy automated research crews with this MCP Server

Run specialized agents that collaborate to dissect your market. Your research agent uses `list_product_niches` to find active categories, while your analyst agent runs `list_competitor_asins` to extract rival brands. They share findings in real time to build a complete profile. To complete the picture, a third agent calls `get_niche_details` to pull average prices and competition scores. Because they share memory, the agents combine these data points to pinpoint exactly where your competitors are vulnerable.

Coordinate SEO campaigns using CrewAI and DataDive

Stop doing keyword research manually. One agent pulls high-intent search terms with `get_high_volume_keywords`, while another runs `list_niche_keywords` to score relevancy. They cross-reference their lists to find the highest-ROI opportunities. An optimization agent then uses `search_all_keywords` to make sure you aren't cannibalizing terms across other products. This multi-agent coordination ensures your listing copy is backed by deep, multi-layered keyword intelligence.

Audit inventory and profits autonomously using our MCP Server

Keep your business healthy with autonomous audits. An inventory agent calls `get_inventory_status` to monitor sell-through rates and inbound shipments. Simultaneously, a finance agent runs `get_profits_summary` to track net margins and ROI. They pass their reports to a manager agent that looks up your account tier with `get_account_details`. This allows the crew to write highly contextual restock recommendations that align perfectly with your current business goals and cash flow.

Setup guide

Set up DataDive MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke DataDive tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="DataDive Analyst",
    goal="Access and analyze DataDive data via MCP.",
    backstory="Expert analyst with direct DataDive access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent DataDive transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="DataDive Analyst",
        goal="Access and analyze DataDive data via MCP.",
        backstory="Expert analyst with direct DataDive access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent DataDive transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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Common questions about DataDive MCP in CrewAI

Pass your Vinkius HTTP endpoint directly into the `mcps` array when defining your agents. CrewAI automatically discovers and configures all available tools for your crew.

Yes. Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. This lets you restrict your SEO agent to `list_niche_keywords` while keeping financial tools private.

Agents use CrewAI's shared memory. When one agent runs `search_all_keywords`, the resulting keyword metrics are instantly accessible to other agents in the crew for further analysis.

Yes. You can set up a sequential crew where the first agent finds competitors via `list_competitor_asins` and the second checks their keyword positions using `get_rank_radar`.

Extremely secure. Vinkius executes all tool calls, including retrieving search terms via `list_niche_keywords`, inside ephemeral V8 isolates. Your proprietary keyword lists never leave the secure sandbox environment.

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