How do I get a Datanyze API Token?

Log in to your Datanyze account, navigate to the API section in your settings, and you can retrieve your unique API Token from there.

What are technographics?

Technographics refers to the analysis of the software and technology tools a company uses, such as their CRM, cloud provider, or analytics platform.

Does searching for a domain use credits?

Yes, most Datanyze API calls consume credits based on your current plan. You can use the get_api_credit_balance tool to monitor your remaining credits.

Datanyze MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Datanyze
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Datanyze through Vinkius, pass the Edge URL in the `mcps` parameter and every Datanyze tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Datanyze Specialist",
    goal="Help users interact with Datanyze effectively",
    backstory=(
        "You are an expert at leveraging Datanyze tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Datanyze "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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* 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 Datanyze MCP Server

Integrate Datanyze, the leader in technographics and B2B intelligence, directly into your AI workflow. Research target companies, identify the software technologies they use, and retrieve contact information for key decision-makers using natural language.

When paired with CrewAI, Datanyze becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Datanyze tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Technographic Auditing — Identify the CMS, CRM, marketing automation, and other technologies used by any domain.
Lead Generation — Search for B2B companies by industry or keyword and retrieve contact profiles.
Market Analysis — Find domains similar to your competitors and track global traffic ranks.
Credit Monitoring — Keep track of your Datanyze API credit balance directly via chat.

The Datanyze MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 Datanyze to CrewAI via MCP

Follow these steps to integrate the Datanyze MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Datanyze

Why Use CrewAI with the Datanyze MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Datanyze through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Datanyze + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Datanyze MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Datanyze for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Datanyze, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Datanyze tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Datanyze against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Datanyze MCP Tools for CrewAI (10)

These 10 tools become available when you connect Datanyze to CrewAI via MCP:

get_api_credit_balance

Check your remaining Datanyze API credits

get_domain_contacts

Resolves individual profiles including job titles, departments, and professional social links for identified decision-makers. List key decision-makers and contact profiles for a domain

get_domain_intelligence

Returns a comprehensive profile including active software stacks, website metadata, and organizational technographic attributes. Retrieve technographics and metadata for a specific domain

get_domain_traffic_rank

Retrieve the global traffic rank for a specific domain

list_competitor_domains

Returns a list of domains sharing similar technographic profiles or industry characteristics. Find domains similar to or competing with a specific domain

list_industry_sectors

List all industry categories available for filtering

list_technology_customers

Returns a list of company domains currently identified as users of the specified platform. List companies currently using a specific technology ID

list_tracked_technologies

Returns a list of technical identifiers and category classifications for various software solutions. List all software technologies and platforms tracked by Datanyze

quick_tech_audit

Identify core technologies used by a domain

search_b2b_companies

Matches query terms against company names, industry sectors, and descriptive metadata to return a list of matching organizational entities. Search for companies matching a specific keyword or industry

Example Prompts for Datanyze in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Datanyze immediately.

"What technologies are used by 'stripe.com'?"

"Find B2B companies in the 'Fintech' industry in London."

"How many API credits do I have left?"

Troubleshooting Datanyze MCP Server with CrewAI

Common issues when connecting Datanyze to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Datanyze + CrewAI FAQ

Common questions about integrating Datanyze MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.