Automate.io MCP. Audit bots, check usage, and trace runs instantly.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Automate.io MCP Server gives your AI client full control over your integration workflows. You can list all bots, check which apps are connected, trace execution logs, and audit your billing usage—all through natural conversation.
It turns complex, multi-tab dashboard auditing into simple, conversational commands.
What your AI agents can do
Get bot
Gets the explicit configuration details for a single automated bot.
Get usage
Retrieves the current billing usage statistics for the entire account.
List apps
Lists all supported integrations that can be connected to the platform.
Lists every automated bot defined in your Automate.io account.
Retrieves the specific rules, triggers, and actions for one designated bot.
Provides an audit list of every external service (like Salesforce or Slack) linked to your account.
Audits the specific OAuth tokens or API keys attached to your connected apps.
Retrieves live statistics showing how many workflow runs you've used against your account limit.
Generates a chronological list of execution attempts (successes or failures) for a specific bot.
Ask AI about this MCP
Supported MCP Clients
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Automate.io MCP Server: 6 Tools for Workflow Ops
Use these tools to manage, monitor, and audit every aspect of your Automate.io workflows and integrations via your AI client.
019d7556get bot
Gets the explicit configuration details for a single automated bot.
019d7556get usage
Retrieves the current billing usage statistics for the entire account.
019d7556list apps
Lists all supported integrations that can be connected to the platform.
019d7556list bot runs
Lists the historical execution runs for a specific bot.
019d7556list bots
Lists every automated bot configured in the account.
019d7556list connections
Lists all currently authorized third-party application connections.
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 Automate.io, 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
Yo, this Automate.io MCP Server gives your AI client total control over your integration workflows. You can check every bot, audit your connections, track run logs, and peep your billing usage—all through plain talk. It takes the headache of digging through a multi-tab dashboard and turns it into simple commands.
Listing and Auditing Bots
- You can use
list_botsto get a rundown of every automated bot you've set up in your account. - To dive deep into one bot, run
get_botto pull the explicit configuration details for a single automated bot.
Tracking Bot Performance
- Need to know what happened last time? Use
list_bot_runsto generate a chronological list of execution attempts (success or failure) for a specific bot.
Checking Integrations and Connections
- To see what external services are hooked up, run
list_appsto list all supported integrations that can connect to the platform. - To audit your actual connections, use
list_connectionsto list every authorized third-party application connection. - You can also check the specific OAuth tokens or API keys attached to your connected apps by running
list_connections.
Monitoring Usage and Billing
- Use
get_usageto retrieve live statistics showing how many workflow runs you've used against your account limit.
Here's the rundown:
- Your AI client lets you list all bots and their setups.
- It lets you get detailed info on a single bot's rules, triggers, and actions.
- You can list every connected SaaS application, giving you an audit list of every external service linked to your account.
- You can audit all existing integrations and their tokens by listing the connections.
- You can check live usage and billing quotas by checking the usage stats.
- You can trace a bot's history of runs, getting a chronological list of outcomes for any specific bot.
How Automate.io MCP Works
- 1 Subscribe to the Automate.io MCP Server and input your API Key.
- 2 Your AI client sends a natural language request (e.g., 'Show me the last 10 runs for the CRM bot').
- 3 The server executes the necessary tool (
list_bot_runs) and returns structured data directly to your client.
The bottom line is you ask your AI agent questions about your workflows, and it executes the correct API calls to give you the live data.
Who Is Automate.io MCP For?
The Integration Engineer who needs to debug a failed webhook at 2 AM without logging into the dashboard. The Operations Team that needs to check if the billing quota is about to run out. The IT Admin who must prove compliance by auditing every connected OAuth token.
Uses the server to remotely debug failed execution runs, finding the exact failure point without needing to log into the Automate.io dashboard.
Checks billing quotas and traces structural issues on mission-critical workflows to ensure continuous uptime.
Audits all connected SaaS applications and active endpoints to manage security compliance and verify attached credentials.
What Changes When You Connect
- Audit Credentials: Use
list_connectionsto audit every OAuth token or API key attached to your SaaS platforms. This proves compliance and helps you spot stale or expired credentials immediately. - Debug Failures: If a workflow fails, use
list_bot_runsto pull the full execution history. You see the exact failure time and the error message without manually digging through logs. - Quota Management: The
get_usagetool gives you live billing stats. You know exactly how many workflow runs are left before the billing cycle resets. - System Overview: Run
list_botsto get a comprehensive roster of every bot. Then, useget_boton a specific name to check its underlying structural rules and triggers. - Connectivity Check: Use
list_appsto discover which external applications are even supported by the platform, helping you plan new integrations. - Full Visibility: By chaining these tools—like
list_botsfollowed bylist_bot_runs—you get a complete, conversational picture of your entire automation stack.
Real-World Use Cases
Debugging a broken 'Lead Capture' bot.
The sales ops team notices the 'Lead Capture' bot failed overnight. Instead of logging into the dashboard and clicking through failure logs, they ask their agent: 'What were the last 10 runs for Lead Capture?' The agent uses list_bot_runs, instantly showing the failure and the API Token Expired error, solving the problem in seconds.
Compliance audit of external services.
The IT admin needs to prove that only authorized services are connected. They ask the agent to list_connections. The agent returns a clear list of all OAuth tokens and API keys, allowing the admin to immediately flag the one connected service that hasn't been used in months.
Checking billing limits before a campaign.
Before a major marketing campaign, the marketing manager asks: 'How many workflow runs do we have left?' The agent runs get_usage, providing the current quota remaining. This prevents the campaign from failing due to hitting the execution limit.
Reviewing a newly built workflow's structure.
The integration engineer finishes a bot and needs to check its logic. They ask the agent to get_bot for the new bot name. The agent returns the full metadata, letting the engineer verify the triggers and actions before deployment.
The Tradeoffs
Treating the server as a static list.
Just calling list_bots and assuming you have all the answers. You see the name 'CRM Bot' but don't know if it's running or what it does.
→
After running list_bots, you must follow up by asking the agent to use get_bot on the specific bot name. This gives you the structural rules and triggers, not just the name.
Forgetting to check connections.
A bot fails because Slack's API key expired, but the user assumes the bot is broken, wasting hours debugging the code.
→
First, run list_connections. This immediately shows which external apps are attached and if their OAuth tokens are flagged as degraded or expired.
Ignoring run history.
The bot runs successfully once, but the failure happens on the tenth run. If you only check get_bot, you won't see the failure point.
→
You must use list_bot_runs to get the chronological log. This lets you pinpoint the exact time and attempt number that failed.
When It Fits, When It Doesn't
Use this server if you need to audit, debug, or track usage for a complex, multi-step automation process. You need to know why a bot failed, what connections are active, and if you have quota left. Don't use it if you just need a simple list of names or want to check the status of a single, isolated piece of code. For simple checks, just look at the bot's source code. If you need to know the state of the entire system—the connections, the runs, and the usage—you need this server. If you only need to list supported apps, list_apps handles that, but for running operations, this server is mandatory.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Automate.io. 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 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Debugging automation workflows shouldn't require logging into three different dashboards.
Today, when an automated process breaks, you're stuck. You open the dashboard, click 'View Logs,' then you have to find the specific bot, filter by date, and scroll through hundreds of entries to find the error. If the failure is related to an external service, you then have to open the 'Connections' tab, check the credentials, and repeat the process. It's a massive, frustrating click-through mess.
With the Automate.io MCP Server, you talk to your agent. You just ask, 'What went wrong with the CRM bot yesterday?' The agent uses `list_bot_runs` and immediately gives you the failure log and the error code. It pulls all the necessary data from the platform and gives you a clean, readable answer.
Automate.io MCP Server: Get full visibility into your integrations.
Manual checks for connectivity are a nightmare. You have to navigate to the 'App Connections' section, manually confirm the OAuth status for every service, and then cross-reference those tokens against the bots that use them. If one token is stale, you don't know which bot will break until it actually fails.
This server lets you audit everything. You run `list_connections` to see every connected service and its token status. You can cross-reference that with `list_apps` to understand the full scope. You control the visibility, and you stop guessing where the failure came from.
Common Questions About Automate.io MCP
How do I check my billing limit using the Automate.io MCP Server? +
Run get_usage. This tool pulls the live billing statistics for your account. It tells you exactly how many workflow executions you have left against your total quota.
Which tool do I use to see if a specific bot is running? +
You need to use list_bot_runs. This tool gives you a chronological record of all execution attempts for a bot, showing if it succeeded or failed, and when.
I can't find the configuration for my bot; what tool should I use? +
Use get_bot. This tool pulls the full, explicit configuration details for a single bot, showing its rules, triggers, and actions.
What is the difference between `list_bots` and `get_bot`? +
list_bots gives you a simple roster of all bot names. get_bot takes one of those names and returns the deep, structural metadata, showing how it's actually built.
How do I audit all the connected apps in Automate.io? +
Run list_connections. This tool audits every authorized third-party connection, listing the service and the status of its API key or OAuth token.
How do I use `list_connections` to check which OAuth tokens are active? +
The list_connections tool shows all authorized integrations and their current status. You'll see if an OAuth token is active or if it needs refreshing, giving you a clear audit of your connected SaaS platforms.
If a bot fails, how do I use `list_bot_runs` to debug the failure? +
The list_bot_runs tool provides a chronological record of execution attempts. You can filter these runs to pinpoint the exact failure, often showing error codes or messages that tell you where the workflow broke.
What information does `get_bot` provide about a specific bot's structure? +
get_bot gives you the full structural rules, triggers, and action metadata for one bot. This lets you inspect the underlying logic without having to navigate the Automate.io dashboard.
Can I diagnose why a specific Automate.io bot failed recently? +
Yes. Grab the Bot ID and ask your agent to list its recent execution runs. The agent fetches chronological logs highlighting success status and precise internal failures, saving you endless clicks on the dashboard log pages.
Can I check my quota limit proactively using my AI Agent? +
Absolutely. You can request your current usage statistics at any moment. Your agent checks raw configurations against execution quotas so you can anticipate upgrades before critical workflows freeze unexpectedly.
Is it possible to list which explicit apps my organization has connected? +
Yes. The list connections tool will surface every external SaaS platform that has an attached OAuth token or active API Key inside your Automate.io environment. Essential tool to trace orphaned security keys across integrations.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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