How to Use the Datanyze MCP in AutoGen

Q: How do I import Datanyze tools into AutoGen?

Use mcpservertools with StreamableHttpServerParams pointing to your Vinkius endpoint. This loads tools like getdomainintelligence into your AssistantAgent configuration automatically.

Q: Can multiple AutoGen agents share my Datanyze credit balance?

Yes, any agent in your group chat can call getapicreditbalance to check remaining credits. You can set up a coordinator agent that halts the workflow if credits fall below a specific threshold.

Q: How do AutoGen agents handle conflicting Datanyze search results?

If listcompetitordomains returns unexpected results, your agents can debate the relevance of the domains. They use conversational feedback to refine their search queries and run a second lookup if needed.

Q: Can AutoGen agents track software customers autonomously?

Yes, a researcher agent can call listtechnologycustomers to find companies using a specific platform. The agent then passes those domains to other agents to initiate deep-dive technographic profiles.

Let your AutoGen agents debate sales angles using live Datanyze technographics and verified B2B contact profiles.

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Create your Vinkius account to connect Datanyze to AutoGen 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 AutoGen

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Resolve target company profiles via AutoGen agents

`search_b2b_companies` matches query terms against company names and industry sectors to find target organizations. In an AutoGen setup, a researcher agent runs this Datanyze search to find prospects, then passes the list to a qualification agent to filter them. This multi-agent conversation ensures only high-fit Datanyze companies are processed. The AutoGen agents debate the company's industry fit based on the returned metadata before deciding to look up specific contacts via the MCP Server.

Audit domain technologies through agent consensus

`quick_tech_audit` extracts the core technology stack used by any target domain. One AutoGen agent analyzes this Datanyze stack to identify competitor software, while a strategy agent uses that analysis to draft a tailored cold outreach script. The AutoGen agents negotiate the best pitch angle based on the active Datanyze technologies found on the site. If the tech stack changes, the researcher agent triggers a new Datanyze audit to update the team's outreach strategy.

Check decision-makers using cooperative MCP workflows

`get_domain_contacts` pulls names, titles, and professional social links for key decision-makers. An AutoGen lead-gen agent extracts these Datanyze contacts, while a separate compliance agent checks the titles against your target buyer persona. The AutoGen agents collaborate to build a highly targeted outreach list. If a Datanyze contact doesn't meet your executive-level criteria, the compliance agent rejects the lead and instructs the researcher to find a different domain.

Setup guide

Set up Datanyze MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Datanyze tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Datanyze_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Datanyze data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

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

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Datanyze_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Datanyze data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Datanyze. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Datanyze MCP in AutoGen

Use mcp_server_tools with StreamableHttpServerParams pointing to your Vinkius endpoint. This loads tools like get_domain_intelligence into your AssistantAgent configuration automatically.

Yes, any agent in your group chat can call get_api_credit_balance to check remaining credits. You can set up a coordinator agent that halts the workflow if credits fall below a specific threshold.

If list_competitor_domains returns unexpected results, your agents can debate the relevance of the domains. They use conversational feedback to refine their search queries and run a second lookup if needed.

Yes, a researcher agent can call list_technology_customers to find companies using a specific platform. The agent then passes those domains to other agents to initiate deep-dive technographic profiles.

Your queries for B2B contacts and domain technographics are isolated in a zero-trust execution environment. Vinkius proxies the requests securely, meaning your AutoGen agents query the Datanyze API without exposing raw credentials.

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