Senar.io MCP. Control AR training assignments and audit compliance from chat.
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Senar.io MCP Server lets your AI client manage AR/VR corporate training. It gives you tools to list users, assign them to specific training collections, and pull real-time performance data from simulations.
Run reports on completions, track activity logs, or add new content—all through natural conversation.
What your AI agents can do
Add content
Adds a new module or lesson to an existing AR content collection.
Create user and assign
Creates a user account and immediately assigns them to a specified AR training collection.
Get activity data
Retrieves detailed, real-time records of user training attempts and success rates.
Create a new user account and link them directly to one or more specific training collections.
Pull real-time logs detailing training attempts, success rates, and duration for compliance checks.
List all existing AR simulation collections and retrieve specific metadata about any given group.
Get a user's overall progress, showing which modules they completed and their current performance level.
List all past training sessions for a single user to verify compliance and development records.
Ask AI about this MCP
Supported MCP Clients
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Senar.io MCP Server: 9 Tools for Corporate L&D
These nine tools allow your AI client to perform complex actions—from user provisioning to performance auditing—across the Senar.io AR training platform.
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 Senar.io on Vinkius019dd156add content
Adds a new module or lesson to an existing AR content collection.
019dd156create user and assign
Creates a user account and immediately assigns them to a specified AR training collection.
019dd156get activity data
Retrieves detailed, real-time records of user training attempts and success rates.
019dd156get collection details
Pulls metadata for an entire content group, showing what modules are included in that collection.
019dd156get progress
Returns the current learning completion status and performance summary for a specific user.
019dd156get user sessions
Lists every historical training session record associated with a single user ID.
019dd156get user details
Retrieves all profile metadata for one specified user account.
019dd156list collections
Shows a list of all available AR simulator content collections in the organization.
019dd156list users
Retrieves a complete directory listing of every managed user within your Senar account.
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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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 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Audit reporting used to mean exporting CSV files and coffee runs.
Today, checking compliance means logging into the main platform, running reports for 'Failed Attempts,' downloading that big spreadsheet, opening it in Excel, filtering by date range, and then emailing the whole mess out. It's slow, painful, and you often miss key details because the data is siloed.
With this MCP server, you ask your agent: 'Pull all users who failed their mandatory safety module last quarter.' You get a clean JSON output listing only those people, directly in the chat. No downloads, no spreadsheets, just actionable data.
Senar.io MCP Server gives you `create_user_and_assign`.
Before this server, onboarding a new employee meant multiple handoffs: IT created the account; L&D manually found the user in the LMS and assigned the correct course collection via the web UI. It was an asynchronous mess.
Now you ask your agent to 'Onboard Jane Doe for Safety Compliance.' The system runs `create_user_and_assign` instantly, handling both the profile creation and the module assignment with one command.
What you can do with this MCP connector
Listen up. This server lets your AI client run your whole AR/VR corporate training program without you having to jump through hoops or click a thousand buttons. You treat it like talking to an expert teammate who's already logged into the system and knows exactly what data you need, right when you need it.
You can manage every person and piece of content using nine specific tools. Want to know who's on staff? Just run list_users to pull a full directory of everyone managed in your Senar account. Need more info on one guy? Use get_user_details for all the profile metadata you gotta see.
When it comes to assigning people, you can create an entire new user account and link them straight into specific AR training collections with create_user_and_assign. This gets 'em set up and ready to train in one go. You'll never have to manually enter credentials or assign modules again.
If you need to check what content is available, start by running list_collections to see every AR simulator collection your company uses. To dive deep into a specific group, use get_collection_details; this pulls the metadata for that entire content set, showing exactly which modules it contains. And if you gotta update the training library? You can add a brand-new lesson or module to an existing collection using add_content.
Tracking performance is where this thing really shines. To get a snapshot of one user's learning status—which modules they finished and how good they are doing right now—you run get_progress. For the full picture, you can check out all historical training records for that user with get_user_sessions, giving you every session log needed for compliance checks.
If you gotta generate a detailed report on attempts, success rates, or duration across multiple trainees, use get_activity_data to pull those real-time logs. You'll get the data you need for compliance reporting without leaving your chat window.
You can also drill down into what content is available by running list_collections, which gives you a clean list of all current AR simulator groups. If you want to verify exactly what modules belong inside one of those collections, use get_collection_details. You'll never have to manually check module dependencies again.
It’s designed so that your AI client handles the entire lifecycle: user creation, content deployment, and performance monitoring—all through natural conversation. It collects all the history (get_user_sessions), manages assignments, tracks compliance status via get_progress, and keeps you informed with granular data from get_activity_data.
019dd156-cd73-7302-a4e9-937597853fba 
How Senar.io MCP Works
- 1 Subscribe to the Senar.io server and provide your studio credentials.
- 2 Your AI client calls tools like
list_usersorlist_collectionsto gather initial data sets. - 3 The agent aggregates this information—for example, combining user details with activity data—and presents a single, actionable summary in the chat.
The bottom line is: your AI client becomes an immediate interface for managing complex training records without needing direct API calls or UI navigation.
Who Is Senar.io MCP For?
Training Managers and L&D Specialists. You're the person who gets slammed with compliance reports at 4 PM on a Friday, having to jump between the main platform, the user database, and the reporting dashboard. This server lets you pull all that data into one chat command.
Checks training logs immediately after an incident, using get_activity_data to confirm if personnel completed mandatory refresher courses.
Onboards new hires by running create_user_and_assign, ensuring the right person gets access to the correct modules instantly.
Runs periodic audits using list_users and get_progress to identify which groups of employees are falling behind on mandatory certifications.
What Changes When You Connect
- Cut the clicks: Instead of logging into three different dashboards to check completion status, use
get_progressto pull a user's entire learning profile in one query. - Automate onboarding: Never manually assign users again. Use
create_user_and_assignto instantly provision new trainees and place them in the required training collection. - Audit compliance quickly: Need to know who failed the forklift test last month? Run
get_activity_dataand filter by failure status—no more manual report generation. - Manage content lifecycle: Use
list_collectionsto see what groups exist, then useadd_contentwhen a new regulatory module drops. Keep your training current instantly. - Full history access: Don't trust one snapshot. Run
get_user_sessionsto get every single historical record for a user, proving compliance year over year.
Real-World Use Cases
Need to audit team safety readiness.
The Safety Officer needs proof that 90% of the warehouse crew passed 'Hazard Identification' before next week. They ask their agent: 'Show me who failed Hazard Identification in the last month.' The agent runs get_activity_data and lists only those users, providing an immediate action list for re-training.
Onboarding a contractor.
A new third-party consultant starts next week. The L&D Manager doesn't want to email them 5 links. They ask the agent to 'Add John Smith and assign him to First Aid.' The agent runs create_user_and_assign immediately, giving John access the second he logs in.
Reviewing a specific employee's record.
The manager needs to know if Jane completed her mandatory 'Leadership Fundamentals' training last quarter. She asks the agent for get_user_sessions and cross-references it with list_users to confirm her entire history, ensuring no gaps exist.
Updating required content.
Regulatory standards change, so a new module must be added to the 'Security Best Practices' collection. The Training Coordinator asks the agent to add_content, specifying the title and lesson count. The system updates the core curriculum instantly.
The Tradeoffs
Trying to get a full user view in one go
Asking 'Give me everything about John Doe.' This is too vague; you'll just get an error or half-baked data.
→
Break it down. First, run get_user_details for the profile. Then, separately call list_collections, and finally use get_progress to combine all necessary pieces.
Assuming content exists
Trying to assign a user to 'Advanced Kubernetes' when that collection hasn't been created yet.
→
Always run list_collections first. If the desired group isn't there, use add_content or talk to your administrator before attempting assignment via create_user_and_assign.
Mixing user roles and data
Asking 'Show me all users who completed First Aid.' This mixes directory listing with performance metrics.
→
Start by running list_users to get the pool of IDs. Then, iterate through those IDs using get_user_details or get_progress to filter for the required completion status.
When It Fits, When It Doesn't
Use this server if your primary pain point is data retrieval and workflow orchestration around corporate training records. If you need to manage user assignments, check compliance rates (get_activity_data), or update curriculum content (add_content), these tools give you the direct commands needed.
Don't use this if you are trying to build a custom reporting dashboard from scratch. This is an API gateway that delivers data; it doesn't replace your need for client-side logic to aggregate results (e.g., combining get_user_details with list_users). If your goal is simply to view the raw database structure, use a direct database connection instead of this MCP layer.
Common Questions About Senar.io MCP
How do I check training attempts using get_activity_data? +
Use get_activity_data to pull detailed logs. You can specify date ranges or modules, and it returns metrics like total attempts and the percentage of successful completions.
Can I list all current user accounts with list_users? +
Yes, running list_users gives you a directory listing of every single account managed by your organization within Senar.io.
What is the difference between get_user_details and get_progress? +
get_user_details pulls static profile data (name, role, etc.). get_progress gives you dynamic metrics—the actual completion percentage of their assigned courses.
How do I add a new training module? Do I need to use add_content? +
You use the add_content tool. You specify the target collection, the lesson count, and an estimated duration for the new material.
I need to enroll a new user and assign them to a specific simulator group; do I use `create_user_and_assign`? +
Yes, you run create_user_and_assign. This single command handles both the account creation and linking the trainee to an AR collection. It's faster than creating the user through another system first.
Before I build a new training module, how do I check what AR simulator groups are available? Should I use `list_collections`? +
You start by running list_collections. This provides a list of all existing content collections in your organization. You need this list to know which group you're adding the new modules to.
I want an audit trail, not just the current score. How do I use `get_user_sessions` to view a user’s full history? +
Use get_user_sessions. This lists every session for that specific user, giving you timestamps and duration data. It's perfect for compliance checks or tracking total time spent on training.
I need to know the content breakdown of a group before I assign users. What does `get_collection_details` provide? +
The get_collection_details tool pulls the full metadata for a collection. You get specifics like the number of lessons, quizzes, and total estimated hours—it tells you exactly what's inside.
Can my AI automatically assign a new user to a specific simulator collection? +
Yes! Use the create_user_and_assign tool. Provide the user details and the Collection ID, and your agent will create the record and grant access instantly.
How do I find a collectionId for my simulators? +
In Senar Studio, open your collection; the ID is the numeric value at the end of the URL (e.g., .../Collections/Edit/123).
Are training results available in real-time? +
Yes, as soon as a trainee completes a session in the AR simulator, the data is pushed to the API and accessible via the get_activity_data tool.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.