How do I find my Hexomatic API Key?

Log in to your Hexomatic account and navigate to the **Integrations** or **API** section in your settings. You will be able to generate and copy your unique API key from there.

Can I run a specific workflow via the AI agent?

Yes! Use the `run_workflow` tool by providing the unique workflow ID. You can also pass runtime parameters (like a list of URLs to scrape) as a JSON string in the `body_json` parameter.

How do I access the data scraped by a workflow?

Once a workflow execution is complete, use the `get_workflow_results` tool with the workflow ID to retrieve the scraped data in a structured format.

Is the integration secure for managing automation data?

Absolutely. The integration uses official Hexomatic API keys over HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

Hexomatic MCP Server for CrewAI 11 tools — connect in under 2 minutes

Name: Hexomatic
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Hexomatic through Vinkius, pass the Edge URL in the `mcps` parameter and every Hexomatic 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

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Hexomatic Specialist",
    goal="Help users interact with Hexomatic effectively",
    backstory=(
        "You are an expert at leveraging Hexomatic 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 Hexomatic "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

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

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Hexomatic MCP Server

Connect your Hexomatic account to any AI agent and take full control of your web scraping and no-code automation workflows through natural conversation.

When paired with CrewAI, Hexomatic becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Hexomatic 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

Workflow Oversight — List all automation workflows, retrieve detailed configurations, and monitor their active status.
Run Automations — Manually trigger workflow executions and pass runtime variables like target URLs directly from the chat.
Scraping Insights — List point-and-click scraping recipes and retrieve output data from completed executions.
Execution Logs — Access detailed logs for any workflow run to troubleshoot or audit automation steps.
Built-in Automations — Browse 100+ ready-to-use automations, including Tech Stack Discovery and Email Finding.
Usage Monitoring — Instantly check your account's automation credits and current plan usage.

The Hexomatic MCP Server exposes 11 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 Hexomatic to CrewAI via MCP

Follow these steps to integrate the Hexomatic 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 11 tools from Hexomatic

Why Use CrewAI with the Hexomatic MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Hexomatic 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

Hexomatic + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Hexomatic 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 Hexomatic, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Hexomatic 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 Hexomatic against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Hexomatic MCP Tools for CrewAI (11)

These 11 tools become available when you connect Hexomatic to CrewAI via MCP:

get_account_usage

Retrieve current plan usage and automation credits

get_execution_logs

Retrieve the execution logs for a specific workflow

get_workflow_details

Get detailed configuration for a specific workflow

get_workflow_results

Retrieve the output data from a completed workflow execution

list_account_teams

List teams and collaborators

list_automations

List all built-in Hexomatic automations (e.g., Tech Stack Discovery)

list_scraping_recipes

List all point-and-click scraping recipes

list_workflows

Use this to identify the ID of the workflow you want to run. List all automation workflows in your Hexomatic account

run_workflow

You can pass runtime variables like input URLs as a JSON string in "body_json". Manually trigger an execution of a workflow

search_workflows

Search for workflows by name or title

update_workflow_status

Activate or deactivate a workflow

Example Prompts for Hexomatic in CrewAI

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

"List all active automation workflows."

"Show me the results from the latest 'Tech Stack Discovery' run."

"Run workflow ID 'hex_5501' with the target URL 'https://vinkius.com'."

Troubleshooting Hexomatic MCP Server with CrewAI

Common issues when connecting Hexomatic 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.

Hexomatic + CrewAI FAQ

Common questions about integrating Hexomatic 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.