Robolytix MCP for AI. Manage and audit bot performance from your chat.
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Robolytix connects your AI agent directly to your Robotic Process Automation (RPA) analytics platform. It lets you manage bot workflows, track performance metrics, and read detailed logs through natural conversation.
Use tools like `list_rpa_processes` or send `sonar_start` messages to monitor process health without leaving your chat window.
What your AI can do
Get process
Gets the full configuration details for a specific robotic process using its identifier.
Get run messages
Pulls every single log message recorded during a specific process run, useful for debugging failures.
Get run
Retrieves summary data and metadata for one particular bot execution run.
Retrieves current metadata and details for a specific configured robotic process using get_process.
Gets detailed information about any completed or active bot execution, including the unique run ID via get_run.
Pulls every single log entry and step message from a specific process run using get_run_messages.
Retrieves aggregated statistics across all your RPA activities using get_stats.
Pulls a list of all configured robotic processes, providing their necessary identifiers via list_rpa_processes.
Logs specific events like start, checkpoint, or end using specialized sonar tools (sonar_start, sonar_checkpoint, sonar_end).
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Robolytix MCP Server: 10 Tools for RPA Monitoring
These ten tools give your AI agent direct access to every aspect of your robotic process automation system—from logging starts to retrieving detailed failure messages.
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Start using Robolytix on VinkiusGet Process
Gets the full configuration details for a specific robotic process using its identifier.
Get Run Messages
Pulls every single log message recorded during a specific process run, useful for...
Get Run
Retrieves summary data and metadata for one particular bot execution run.
Get Stats
Fetches high-level, aggregated performance statistics across all managed automations.
List Rpa Processes
Returns a list of every configured RPA process name and ID in the system.
List Runs
Generates a paginated list of all recorded bot runs within a given time frame.
Sonar Checkpoint
Logs an intermediate 'common' event in the process workflow, useful for tracking major steps.
Sonar End
Marks the successful completion of a monitored automation run.
Sonar Error
Logs an explicit error event into the process workflow for immediate alerting.
Sonar Start
Logs the official start of a new robotic process run, initiating monitoring.
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Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
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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 connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Searching through logs for a single error shouldn't take 15 minutes of clicking.
Today, finding out why an automated process failed is a mess. You open the main dashboard, see 'Failure.' Then you click into that specific run—that's one tab. You check the logs, which are often paginated and poorly indexed. You might have to jump between three different views just to piece together *why* the bot stopped.
With this MCP server, your agent handles all that friction. Instead of clicking tabs or scrolling through pages, you ask: 'Show me the messages for run r-999.' The tool runs `get_run_messages` and hands you every log entry in one clean response. It's direct.
Using Robolytix MCP Server: Log a process start with `sonar_start`.
Manual monitoring requires clicking into the bot platform, finding the 'Start Monitoring' button, and hoping the system logs that event correctly. You lose time just getting the tracking mechanism running.
Now, you simply tell your agent to `sonar_start`. It sends the message instantly. The entire process is logged from a single command. That immediate logging eliminates setup time entirely.
What your AI can actually do with this
Robolytix connects your AI agent straight into your Robotic Process Automation (RPA) analytics platform. You can manage and query bot workflows—everything from simple status checks to deep-dive error analysis—using plain language commands right through your chat window.
If you wanna know what bots you got running, start by calling list_rpa_processes. That tool spits out a list of every single RPA process name and ID configured in the system. Once you've got the name, you can dig deeper into that specific automation using get_process; it pulls all the full configuration details for that robotic process based on its identifier.
To see what ran recently, use list_runs. This generates a paginated list of every bot run recorded within a given timeframe. After you pick a unique run ID from that list, you can get summary data and metadata about that single execution with get_run. That lets you check the overall performance metrics for one specific instance right away.
When things go sideways or you need to know exactly what happened during an active process, get_run_messages is your best friend. It pulls every single log message and step that was recorded during that specific process run, which is killer for debugging failures. You don't just get a summary; you get the whole transcript.
For monitoring overall system health, start with get_stats. This fetches high-level, aggregated performance statistics across every automation your company runs. It gives you the big picture without having to sift through thousands of individual logs.
When you need to track milestones or signal major events in a process workflow, you use specialized 'Sonar' tools. You mark the beginning of monitoring by sending sonar_start. If the process hits a critical intermediate step—like pulling data from an external API—you log it with sonar_checkpoint, which tracks that specific milestone.
When everything finishes clean, you send sonar_end to mark successful completion. Conversely, if something breaks, you immediately flag it using sonar_error to make sure everyone gets alerted right away.
Essentially, your agent uses these tools to act as a complete monitoring system. You use list_rpa_processes and get_process to understand the structure; then you use list_runs and get_run to pinpoint specific instances of activity. If those runs need detailed scrutiny, get_run_messages gives you every word they said. You keep tabs on the whole operation using get_stats, while the specialized sonar tools—sonar_start, sonar_checkpoint, sonar_end, and sonar_error—let your agent actively control the monitoring flow, signaling exactly when things start, what major steps they hit, or where they fail.
It's a full cycle of visibility.
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Here's how it actually works
The bottom line is, your AI client acts as a dedicated operations manager, running commands that usually require jumping between multiple dashboards.
First, subscribe to the Robolytix MCP Server and enter your API Key in the client settings.
Next, prompt your agent with a request—for example: 'What were the errors on run r-999?'
The agent uses the appropriate tool (like get_run_messages) to query Robolytix and returns the structured log data directly in the chat.
Who is this actually for?
This is for anyone who spends too much time switching tabs between RPA platforms, logging systems, and spreadsheets. If you're an Ops Engineer tired of manual status checks at 2 AM, or a Business Analyst needing proof that a process actually worked, this saves the clicks.
Needs to quickly check if their bot failed and pull detailed logs. They use get_run followed by get_run_messages to debug code.
Monitors system health across dozens of bots. They rely on sending explicit events with tools like sonar_checkpoint and list_runs to keep the monitoring stream updated.
Tracks overall business process health and performance over time. They use get_stats to generate reports on success rates and average run times.
What Changes When You Connect
Stop dashboard hopping. Instead of switching between the RPA tool, the logging system, and a spreadsheet to check status, you use get_run or list_runs. The agent pulls all necessary metadata directly into your conversation.
Pinpoint failures instantly. When something breaks, don't search through thousands of lines of text. Use get_run_messages to pull the exact log sequence and error message right away.
Automate monitoring checkpoints. You can trigger major milestones using tools like sonar_checkpoint. This ensures that even complex processes are logged at critical junctures, giving you a clear operational timeline.
Get system-wide visibility with get_stats. Instead of running separate reports for success rates and run times, one query gives you the aggregate performance numbers across all bots.
Manage process discovery on demand. Need to know what processes exist? Use list_rpa_processes first to get the correct IDs before attempting to monitor or modify anything.
See it in action
Investigating a failed batch job
A user suspects the 'Invoice Generation' bot failed last night. They ask their agent, 'What went wrong with the latest invoice run?' The agent runs list_runs to find the ID, then uses get_run for metadata, and finally calls get_run_messages. This pulls a full log showing exactly which step (Step 9) failed, saving hours of manual investigation.
Documenting process flow
An Automation Manager needs to prove that a multi-stage workflow ran correctly. They prompt the agent to 'Start tracking the Order Processing bot run.' The agent executes sonar_start, then logs checkpoints with sonar_checkpoint at key steps, and finally calls sonar_end. This creates an immutable, auditable log trail in seconds.
Calculating daily performance metrics
A DevOps engineer needs a quick health check. They ask the agent for 'Today's overall bot performance.' The agent runs get_stats, returning success rates and failure counts across all bots, instantly giving them the data they need without logging into any web portal.
Debugging missing process IDs
A developer is about to monitor a new bot but doesn't know its ID. They simply ask, 'What are my available bots?' The agent uses list_rpa_processes, returning the list of names and their exact identifiers, allowing the developer to proceed with monitoring.
The honest tradeoffs
Assuming full stats from a single query
The user asks for 'all logs' without specifying a run ID. The agent attempts one massive call, which fails or times out due to data volume.
Always scope your request. First, use list_runs to narrow down the time frame, then pass that specific Run ID to get_run_messages. Don't try to pull everything at once.
Trying to find a process without listing it
The user assumes their bot is named 'Client Invoicing' but the actual name in the system is 'Invo-Gen v3'. The query fails because of an incorrect identifier.
Always start by running list_rpa_processes. This gives you the canonical names and IDs. Then, use that correct ID with get_process.
Missing key workflow events
The process runs successfully but never logs a clean end signal, leaving monitoring ambiguous.
Always wrap your critical processes by calling the sequence: sonar_start, followed by necessary checkpoints (sonar_checkpoint), and finishing with sonar_end.
When It Fits, When It Doesn't
Use this server if your primary job involves auditing, monitoring, or debugging automated workflows. If you need to know how a process ran (logs), if it succeeded (stats/runs), or what processes exist (list_rpa_processes), use the Robolytix MCP Server.
Don't use this if you just need simple data retrieval that doesn't relate to bot execution—for instance, if you only needed a static list of employee names. For pure metadata lookup, a dedicated directory service or database query tool is better. If your problem is simply 'I need an API endpoint for X,' but you don't know the run ID or process name yet, start by calling list_rpa_processes and then get_stats. This builds context before action.
Questions you might have
How do I check overall bot health using get_stats? +
You ask your agent to run get_stats. It returns aggregated performance metrics, including total runs today, average success rate, and the count of errors across all bots.
What is the difference between list_runs and get_run? +
list_runs gives you a paginated index of many run IDs over time. get_run takes one specific ID and returns the detailed metadata for just that single execution.
I need to track a custom step in my process, what tool should I use? Do I use sonar_checkpoint? +
Yes, you must use sonar_checkpoint. It sends an intermediate 'common' message into the workflow. This logs your specific milestone without triggering a full start or end event.
Which tool do I use to find out what processes are available? +
You run list_rpa_processes. This returns all configured bot names and their required IDs, so you know exactly which process to target next.
If an automation fails mid-run, how do I use sonar_error to log the failure immediately? +
You send sonar_error when a process hits an unexpected exception. This tool immediately logs the error message and prevents data loss by marking the run as failed in Robolytix.
I need more than just basic details; how do I use get_run_messages to see every step of a run? +
Use get_run_messages to pull the complete, granular log history for any given process run. It retrieves all associated messages—from start notes to calculation steps—allowing deep forensic analysis.
Before running a bot, how do I use get_process to check its defined parameters? +
The get_process tool pulls the static definition and configuration details for a specific process ID. This lets you verify required inputs or setup changes before you initiate any run.
After I've successfully completed all steps, which tool should I use to mark the automation as finished? +
Use sonar_end to signal that the process has reached its successful conclusion. This finalizes the run lifecycle in Robolytix and updates the overall health metrics.
Can my AI automatically start a process run in Robolytix and track its common steps? +
Yes! Use the sonar_start tool to initiate a run, and sonar_common for subsequent steps. Provide the processid and a unique runid, and your agent will log the milestones in your Robolytix dashboard instantly.
How do I find a processid for my automation? +
Log in to the Robolytix dashboard, go to Settings > Processes, select your process, and the unique GUID will be displayed in the General tab.
What should I use as a runid? +
The runid can be any unique string for that specific execution instance (e.g., a timestamp, a UUID, or an order number). Just ensure you use the same ID for all sonar messages belonging to that single run.
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