Hexomatic MCP. Run, debug, and manage all your web scraping workflows via chat.
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…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Hexomatic. Connects your web scraping and no-code automation workflows directly to your AI agent. You can list workflows, trigger runs, and get detailed logs without opening a browser.
Manage scraping recipes and monitor usage credits all from a chat interface.
What your AI agents can do
Get account usage
Checks your current account usage and remaining automation credits.
Get execution logs
Retrieves the detailed, step-by-step logs for a specific workflow run.
Get workflow details
Gets the full configuration and settings for a specific automation workflow.
Retrieves your current plan usage and remaining automation credits using get_account_usage.
Pulls detailed step-by-step logs for a specific workflow run using get_execution_logs.
Retrieves the detailed settings and structure of a specific automation workflow using get_workflow_details.
Gets the final, structured data output from a completed workflow execution using get_workflow_results.
Lists all available built-in automations or lists all custom workflows in your account.
Lists all point-and-click scraping recipes you've configured.
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Hexomatic MCP Server: 11 Tools for Automation Ops
Use these tools to list workflows, trigger runs, get detailed logs, and manage all your scraping recipes directly from your agent.
019d75b0get account usage
Checks your current account usage and remaining automation credits.
019d75b0get execution logs
Retrieves the detailed, step-by-step logs for a specific workflow run.
019d75b0get workflow details
Gets the full configuration and settings for a specific automation workflow.
019d75b0get workflow results
Retrieves the final, structured data output from a finished workflow run.
019d75b0list account teams
Lists all teams and collaborators associated with your Hexomatic account.
019d75b0list automations
Lists all built-in and custom automation workflows, such as Tech Stack Discovery.
019d75b0list scraping recipes
Lists all your point-and-click data scraping recipes.
019d75b0list workflows
Lists all automation workflows by ID, helping you identify which workflow to run.
019d75b0run workflow
Manually triggers a workflow execution and allows you to pass variables like target URLs.
019d75b0search workflows
Finds specific automation workflows by searching their name or title.
019d75b0update workflow status
Activates or deactivates a workflow to control its operational status.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Hexomatic, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Connect your AI agent directly to your Hexomatic account. You manage web scraping and automation workflows through conversation, treating your agent like a dedicated automation architect. list_workflows lets you see every automation workflow by ID, while list_automations shows all built-in and custom workflows, like Tech Stack Discovery. You can find specific automations using search_workflows, and you'll also see all your point-and-click data scraping recipes by calling list_scraping_recipes.
You'll manage your account and teams with list_account_teams and keep tabs on your usage and remaining automation credits using get_account_usage. You can manually trigger any workflow using run_workflow, passing variables like target URLs; for instance, you can run the workflow and pass a target URL. You can also check the full settings and structure of any specific workflow with get_workflow_details, and if you need to switch a workflow on or off, you'll use update_workflow_status.
When a workflow finishes, get_workflow_results pulls the final, structured data output. If something goes wrong, get_execution_logs grabs the detailed, step-by-step logs for any specific run. You can review all the built-in and custom workflows by calling list_automations.
How Hexomatic MCP Works
- 1 Subscribe to the Hexomatic MCP Server and enter your API Key in the client settings.
- 2 Tell your AI agent what you need—for example, 'List all workflows' or 'Run the Tech Stack Discovery workflow with this URL'.
- 3 The agent calls the necessary Hexomatic tools, and the server returns the data directly to your chat interface.
The bottom line is, your AI agent handles the complex API calls for you. You just talk to it.
Who Is Hexomatic MCP For?
This is for data teams that spend too much time jumping between web dashboards and spreadsheets. If you're a Growth Marketer needing immediate lead lists, or a Data Analyst struggling to debug why a scraper failed, this saves hours of context switching. It lets you manage complex operations via conversation.
Automates data extraction from target websites and checks the success rate of scraping runs without leaving the chat.
Uses AI to analyze competitor tech stacks and gather market news through predefined, repeatable automated workflows.
Instantly triggers lead generation workflows and pulls enriched prospect lists for immediate campaign use.
What Changes When You Connect
- You instantly check resource status. Instead of guessing how many runs you have left, use
get_account_usageto see your current plan usage and credits. - Debugging is faster. If a scraper fails, don't stare at the dashboard. Use
get_execution_logsto pull detailed, step-by-step logs directly into your conversation. - You gain full oversight. Use
list_workflowsto see every automation you have. You can then useget_workflow_detailsto check the exact configuration before running it. - You can run anything. Need to scrape a competitor's site? Use
run_workflowand pass the target URL as a variable, triggering the automation instantly. - You get clean data. Once a workflow finishes, use
get_workflow_resultsto pull only the structured data, skipping the raw log noise. - You manage your library. Use
list_automationsto see all 100+ ready-to-use tools, like 'Tech Stack Discovery', andlist_scraping_recipesto see your custom scrapers.
Real-World Use Cases
Finding a competitor's tech stack
The product researcher needs to know what tech a competitor uses. They tell their agent: 'Run the Tech Stack Discovery workflow for example.com.' The agent uses run_workflow and, when done, uses get_workflow_results to pull a clean list of technologies (AWS, React, etc.). The data is immediately ready for a report.
Debugging a failed lead scrape
A marketer's scraper suddenly stops working. Instead of going through the web UI, they ask their agent to get_execution_logs for the last run. The logs show exactly which step failed—a missing selector or a rate limit—allowing them to fix the workflow without guessing.
Checking overall automation health
The ops engineer needs a quick health check. They first use list_workflows to see what's active, then get_workflow_details to confirm the settings are correct, and finally get_account_usage to ensure they have credits remaining.
Bulk data extraction for analysis
A data analyst needs data from 5 different URLs. They use run_workflow, passing the list of 5 URLs in the body JSON. The agent executes the workflow and uses get_workflow_results to compile all five sets of data into one output for analysis.
The Tradeoffs
Treating the system like a single endpoint
Trying to get everything at once by writing a single prompt: 'List my workflows, give me the logs, and tell me my usage.' This forces the agent to perform multiple, unrelated calls and results in an overwhelming, unparsable block of text.
→
Break it into steps. First, use list_workflows to see the ID. Then, use get_workflow_details for the config. If you need logs, use get_execution_logs with the specific ID. Keep the calls targeted.
Ignoring workflow state
Trying to run a workflow that is deactivated or configured incorrectly. The user gets a generic 'failure' message and doesn't know why.
→
Always check the status first. Use list_workflows or search_workflows to find the name, then use update_workflow_status if it needs activating. This confirms the workflow is ready to run.
Passing vague run variables
Running a workflow and just saying, 'Run it for the website.' The agent doesn't know which site or what format is needed.
→
Be explicit. Use run_workflow and format the input variables precisely, like: 'Run workflow ID hex_123 with the target URL: https://vinkius.com.' The tool requires structured input.
When It Fits, When It Doesn't
Use this if you need to interact with a complex, multi-step automation pipeline. This is for data professionals who need to manage, test, and debug web scrapers and workflows programmatically. You should use it if your current process involves running scheduled jobs or complex data transformations. Don't use it if you just need to check a simple value, like a single API key, or if you only need to view a static list of records. If you just need a list, list_workflows is enough. If you need to execute and debug, this full server is required.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hexomatic. 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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Running a scraper used to mean opening the web dashboard and clicking through five different tabs.
Before this server, you had to log into the Hexomatic dashboard. You'd find the right workflow, check its status, manually input the target URL into a specific field, hit 'Run', and then wait. If it failed, you were stuck navigating deep into the logs section, manually copying IDs, and scrolling through massive amounts of raw JSON to find the root cause.
Now, your AI agent handles all that. You tell it what to do—'Run the LinkedIn Lead Finder for this company.' It executes the workflow via `run_workflow` and gives you a clear status update. If it fails, you just ask it to `get_execution_logs`, and the diagnosis is immediate.
Hexomatic MCP Server: Run, debug, and manage workflows from chat
You no longer have to toggle between the web UI and your chat client. You can use `list_scraping_recipes` to see what scrapers exist, and then use `get_workflow_details` to validate the exact settings. You can even `update_workflow_status` if a workflow needs to be taken offline temporarily.
The difference is context. You manage the entire automation lifecycle—from listing to running to debugging—without ever leaving your agent's chat window. It’s a massive shift in operational efficiency.
Common Questions About Hexomatic MCP
How do I check if a workflow is active before I use `run_workflow`? +
You can use list_workflows to see all workflows, and then use get_workflow_details to confirm its current status. This prevents running a deactivated job.
What is the difference between `get_workflow_details` and `get_workflow_results`? +
get_workflow_details shows the setup—the recipes, the inputs, the logic. get_workflow_results shows the output—the actual structured data generated after the workflow finished.
Can I list all available automation workflows using `list_automations`? +
Yes, list_automations lists all built-in and custom automations available in your account, like Tech Stack Discovery.
How do I get the detailed logs for a failed run? +
Use get_execution_logs and provide the specific workflow ID. The tool gives you a step-by-step trace, which is better than just a failure message.
Do I need to use `list_workflows` before running a workflow? +
While not strictly required, using list_workflows first helps you confirm the correct ID, especially if you have many similar workflows.
How do I check my current spending limit using `get_account_usage`? +
The get_account_usage tool returns your current plan usage and remaining automation credits. This tells you exactly how much budget you have left for runs.
What data can I retrieve from `get_workflow_results`? +
The tool retrieves the final, structured output data from a completed workflow. This is the usable data—not the logs—that you need for analysis.
What happens if I pass bad input data to `run_workflow`? +
The tool will return a specific error message indicating the input problem. You'll need to adjust your JSON body before retrying the run.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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