Huginn MCP. Orchestrate private workflows via conversation.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Huginn MCP lets you control your private, self-hosted automation cloud directly from any AI agent. It's an open alternative to services like IFTTT or Zapier, giving you full API access to manage agents, trigger webhooks, and orchestrate complex event scenarios without relying on external SaaS platforms.
What your AI agents can do
List events
Retrieves a list of recent events that happened within the Huginn system.
Create agent
Creates a brand new agent definition inside your Huginn environment.
Delete agent
Permanently removes an existing automation agent from the system.
Check recent system activity, view detailed event payloads, and manually re-emit events for debugging.
Create, update, delete, or list all automation agents and entire workflow scenarios using natural language commands.
Manually trigger specific agents to run their full logic, or send arbitrary data via webhooks to kick off complex backend tasks.
List all active scenarios and export the entire configuration as JSON for backups or migrations.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Huginn (IFTTT Alternative) MCP - 13 Tools
Use these tools to manage every aspect of your automation system, from listing agents to re-emitting events and triggering webhooks.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Huginn (IFTTT Alternative) on Vinkius019e38aalist events
Retrieves a list of recent events that happened within the Huginn system.
019e38aacreate agent
Creates a brand new agent definition inside your Huginn environment.
019e38aadelete agent
Permanently removes an existing automation agent from the system.
019e38aaexport scenario
Generates a JSON file containing all settings for a specified workflow scenario.
019e38aaget agent
Fetches specific details and metadata for one particular agent.
019e38aaget event
Retrieves the full payload and detail history for a single event ID.
019e38aaimport scenario
Loads and recreates an entire workflow scenario using a provided JSON configuration file.
019e38aalist agents
Provides a comprehensive list of all agents currently configured in the system.
019e38aalist scenarios
Lists all available workflow scenarios that can be executed or managed.
019e38aareemit event
Takes an existing event and forces the system to process it again, useful for retrying failed steps.
019e38aarun agent
Immediately runs a specified agent, initiating its full automation sequence.
019e38aatrigger webhook
Sends custom JSON data to an agent configured as a webhook endpoint.
019e38aaupdate agent
Modifies the settings or definition of an existing automation agent.
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 Huginn (IFTTT Alternative), then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ 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
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Huginn. 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.
VINKIUS INFRASTRUCTURE
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No stored credentials
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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 13 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Dealing with automation means switching between five different interfaces.
Today, if an automated process breaks down, you're forced into a painful manual loop. You check the main dashboard for a status update; then you open the logs in a separate terminal window to see the error stack; next, you copy the failure ID into a chat tool just to ask someone what it means. It’s constant switching, copying, and pasting.
With this MCP, your agent handles all that friction. You talk to it once. If something breaks, you simply tell your agent to `list_events` or check details with `get_event`. The entire process—from failure detection to data retrieval—happens within one conversation thread. It’s a massive time saver.
Managing Agents and Scenarios
Before, setting up or migrating workflows meant manually clicking through dozens of settings pages across different tabs. If you wanted to back up the entire 'User Onboarding' sequence, you had to take screenshots and write down every single step in a spreadsheet.
Now, you ask your agent to `list_scenarios`, find what you need, and run `export_scenario`. You get a clean JSON file. The whole thing is contained, structured data that can be moved or archived immediately. It's pure control.
What you can do with this MCP connector
This MCP connects your local Huginn instance—your private automation cloud—to any AI agent. Instead of building complicated webhook chains in a separate dashboard, you talk to your agent and tell it exactly what needs doing with your workflows. You gain granular control over multi-step scenarios: need to check if an event happened? Call the relevant tools.
Need to start a whole process manually? Run an agent directly. It's about getting visibility into every piece of data flowing through your system, letting you inspect payloads and re-emit events for debugging or reprocessing. When you connect this MCP via Vinkius, your AI client treats your entire automation engine like just another set of tools—easy to talk to, easy to control.
This lets DevOps teams move complex orchestration logic out of the UI and right into natural conversation.
019e38aa-9332-704c-8fb1-55075cd711eb 
How Huginn MCP Works
- 1 Subscribe to this MCP in Vinkius, providing your Huginn Base URL and API Token.
- 2 Reference the necessary agent IDs or scenario names within a prompt to your AI client.
- 3 Your agent executes the required action (e.g., triggering an agent run) and returns the result or status code.
The bottom line is you bypass the graphical UI entirely, managing all automation logic through simple conversation with your agent.
Who Is Huginn MCP For?
Anyone whose job involves coordinating background processes and data flow. It's for the ops engineer who gets frustrated having to switch between a dashboard, a terminal, and a chat window just to debug a simple workflow. You need deep system access via natural language.
Monitoring system events and triggering recovery workflows without needing to leave the terminal or chat interface.
Managing web-scraping agents, inspecting captured payloads, and ensuring data integrity across multi-stage pipelines.
Orchestrating complex, multi-step scenarios and migrating configurations between different automation instances seamlessly.
What Changes When You Connect
- Run agents on demand: Instead of logging into a dashboard, you can tell your agent to use the
run_agenttool, kicking off complex processes with a single chat command. This is huge for testing and recovery. - Full visibility into data flow: Need to know why something broke? Use
list_eventsorget_eventto pull the raw payload data directly into your chat context. You don't have to hunt through logs. - Build reliable pipelines: If a step fails, you can use
reemit_eventand pass the updated event ID back in the prompt, forcing a retry without touching any dashboards. - Manage configurations easily: Use tools like
list_scenariosandexport_scenarioto get JSON backups of entire workflow groups. It simplifies migrating setups between environments. - Control specialized tasks: You can use
trigger_webhookwith custom data, which is perfect for connecting your AI agent to legacy backend systems that expect a specific JSON payload.
Real-World Use Cases
Debugging a Failed Scraper Run
A data enthusiast sees an alert that the 'eBay Scraper' failed. Instead of logging into Huginn, they simply ask their agent to get_event for the last 5 minutes, getting the full payload immediately to diagnose whether the failure was due to bad credentials or a structural change in the target site.
Testing New Workflow Logic
A DevOps engineer wants to test a new agent without setting up a dummy trigger. They use run_agent directly, pointing it at the 'Weather Notifier' agent, and watch the output in their chat window, confirming the logic works before committing any changes.
Automated System Backup
The ops team needs to back up all current workflow definitions. They ask the agent to list_scenarios first, then use export_scenario on the critical 'User Onboarding' sequence and get the JSON file for Git storage.
Initiating a Manual Process
A backend process needs manual initiation. Instead of calling an external API endpoint directly, they ask their agent to trigger_webhook with a specific payload telling the system: 'deploy' and the necessary credentials.
The Tradeoffs
Thinking it's just another Zapier clone
Trying to use your agent simply to connect two services with a single click, expecting drag-and-drop automation.
→
This MCP isn't about simple 'if this happens, do that.' It’s about deep control. If you need fine-grained state management or event reprocessing, use tools like reemit_event and pass the specific ID to your agent.
Forgetting what data is flowing
A process fails, and the user just sees 'Error: 400 Bad Request' without knowing why the payload was bad.
→
Always use get_event or list_events. This gives you the complete, raw data payload history for that specific moment, letting you see exactly what caused the system to reject the request.
Over-engineering agent creation
Writing complex scripts just to check if an agent exists before running anything.
→
Use list_agents first. It's a simple query that gives you all the names and statuses instantly, letting your agent guide you on what to do next.
When It Fits, When It Doesn't
You should use this MCP if your automation needs deep control over state, data payloads, or system lifecycle events. If you need to debug why a process failed, get_event and list_events are non-negotiable. Use it when you're dealing with self-hosted systems that require granular API interaction—this is for the advanced automation user. Don’t use this if your only goal is simple integration (e.g., 'when I post to X, send an email'). For those basic tasks, a dedicated SaaS connector will be simpler. This MCP shines when you need to orchestrate multi-step failure recovery or migrate complex setups using export_scenario and import_scenario.
Common Questions About Huginn MCP
How do I check if my agents are running properly using list_agents? +
You use the list_agents tool to get a summary of all configured agents and their current status. This gives you an immediate overview without having to drill into every single agent's settings.
What is the difference between list_events and get_event? +
The list_events tool shows a chronological feed of recent system activities. If you need the deep, full payload details for one specific instance, use get_event with the unique event ID.
Can I trigger an agent run without knowing its name? +
No, you must first use list_agents to identify the correct agent ID or name. You then pass that specific identifier into the run_agent tool for execution.
How do I update a scenario after it has been exported? +
You modify the JSON file locally, and then use the import_scenario tool to load the updated definition back into Huginn. This overwrites the old settings cleanly.
When I use `update_agent`, what kind of security settings can I change? +
You manage credentials and access permissions when using update_agent. This lets you swap out API keys or adjust roles, keeping your automation secure without touching the agent's core logic.
When I use `get_event`, what detailed information do I find about a workflow that failed? +
The event payload includes full metadata and specific error logs. This lets you see the exact stack trace or data failure point, so you know precisely where in the process it broke.
If I export a scenario using `export_scenario`, can I move that entire group of related agents to another system? +
The exported JSON captures all associated agent definitions and settings. You then use import_scenario on the target instance, letting you rebuild your complex workflows quickly.
What is the actual function of using `reemit_event`? +
Use this when source data changes or an event needs reprocessing. It sends a fresh copy of an old event, allowing downstream agents to run against updated information without manual intervention.
How do I trigger a specific Webhook Agent with data? +
Use the trigger_webhook tool. You will need the user_id, the agent_id, and the secret defined in that agent's configuration, along with the JSON payload you want to send.
Can I see what data my agents have collected recently? +
Yes! Use the list_events tool to see a list of recent activity, or get_event with a specific ID to see the full JSON payload of a single event.
Is it possible to run an agent immediately without waiting for its schedule? +
Absolutely. Use the run_agent tool with the Agent ID to force an immediate execution of that specific agent.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.