How to Use the Datanyze MCP in OpenAI Agents SDK

Q: How do I install the Datanyze MCP Server for the OpenAI Agents SDK?

Run pip install openai-agents in your environment. You configure the connection using MCPServerStreamableHttp with your Vinkius endpoint.

Q: Can the OpenAI Agents SDK cache Datanyze tools?

Yes. Set cacheToolsList=True when passing the server to your Agent constructor. This prevents the system from re-fetching the schema on every run.

Q: How do I track my Datanyze API usage?

Your agent executes getapicreditbalance directly. This returns the exact number of credits remaining on your account.

Connect Datanyze to your OpenAI Agents SDK system to build production sales agents that hunt down B2B contacts and technographics.

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Connect Datanyze MCP to OpenAI Agents SDK

Create your Vinkius account to connect Datanyze to OpenAI Agents SDK 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 Datanyze with OpenAI Agents SDK

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Map software stacks with this MCP Server

The Datanyze MCP Server gives your OpenAI agent direct access to company software footprints. You call `get_domain_intelligence` to pull back the exact tools a target account runs. Your agent evaluates that list against its guardrails before executing the next step in your sales pipeline. Finding quick answers takes seconds. Running `quick_tech_audit` grabs just the core technologies without pulling the heavy metadata payload. Tracing these calls in the OpenAI dashboard shows exactly how your agent qualified the account.

Extract decision makers and contact profiles

Finding the right buyer requires the specific contact data provided by Datanyze. Calling `get_domain_contacts` resolves individual profiles, including job titles and professional social links for identified decision-makers. The agent hands this raw data off to a specialized outreach agent. Building lists based on software usage works perfectly here. Your system executes `list_technology_customers` to find companies actively using a specific platform ID. You pass those domains back into the contact tool to build a highly targeted prospect list.

Identify competitors and traffic metrics

Market research happens automatically when your agent uses Datanyze to map similar companies. Firing `list_competitor_domains` returns a list of domains sharing similar technographic profiles. The agent uses this to find alternative targets when an initial account falls through. Traffic data adds another layer of qualification. You run `get_domain_traffic_rank` to check global visibility. Combining these tools lets your production system filter out small players before wasting API credits, which you track via `get_api_credit_balance`.

Setup guide

Set up Datanyze MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Datanyze tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Datanyze tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Datanyze tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Datanyze Agent",
            instructions="You have access to Datanyze tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Datanyze MCP in OpenAI Agents SDK

Run `pip install openai-agents` in your environment. You configure the connection using `MCPServerStreamableHttp` with your Vinkius endpoint.

Yes. Set `cacheToolsList=True` when passing the server to your Agent constructor. This prevents the system from re-fetching the schema on every run.

It works perfectly. You assign the technographic tools to a research agent. That agent then hands the validated data off to your communication agent.

Your agent executes `get_api_credit_balance` directly. This returns the exact number of credits remaining on your account.

The Vinkius V8 Isolate Sandbox processes job titles, professional social links, and domain metadata in a completely ephemeral environment. Nothing gets stored on disk. Connections terminate immediately after the OpenAI agent receives the payload.

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