Senar.io MCP for AI Agents. Manage AR Training Compliance from Your Chat Window
Senar.io MCP connects your chat agent directly to your AR simulation platform data. You use it to manage entire training programs, track user progress across multiple collections, and monitor real-time activity logs without leaving your conversation window. It gives you full control over trainee assignments and compliance reporting.
Claude 
ChatGPT 
Cursor 
Gemini 
Windsurf 
VS Code 
JetBrains 
Vercel Give Claude and any AI agent real-world access
You can list all managed organization users and get specific details for any profile.
The system lets you create a new user account and immediately assign them to a required AR collection.
You retrieve detailed reports on how long users spent in training and what their success rates were.
The agent gives you a list of all available AR simulator groups and pulls up details for any specific collection.
You add new content to an existing training group, updating the curriculum instantly.
Ask an AI about this
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What AI agents can do with Senar.io MCP: 9 Tools for Training Management
These tools let you programmatically list users, manage content collections, check performance metrics, and track every user session within the Senar.io 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 MCPAdd Content
Adds a specific training module to an existing collection.
Create User And Assign
Creates a new user profile and enrolls them in a specified AR collection.
Get Activity Data
Pulls detailed reports showing training attempts, success rates, and session...
Get Collection Details
Retrieves information about a specific content collection or simulator group.
Get Progress
Provides the current learning progress status for any user in the system.
Get User Sessions
Lists every recorded training session a specific user has completed.
Get User Details
Retrieves all profile metadata for an individual managed user.
List Collections
Shows every AR simulator collection available in your organization's account.
List Users
Displays a complete list of all users currently managed by Senar.io.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
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:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Senar.io integration is available immediately — no restart needed.
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 each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Senar.io, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Senar.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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The struggle to get a single, accurate picture of team compliance. Solved with Vinkius AI Gateway
Today, checking training status means opening the user management portal, downloading a list. Then you have to jump into the reporting dashboard and filter by date, module type, or department. You copy those numbers into a spreadsheet, hoping nothing gets lost in the transfer process.
With this MCP, that manual process disappears. You just talk to your agent and say, 'Show me all users who haven't completed their mandatory quarterly training.' The agent runs the necessary checks and gives you the clean list immediately. It’s instant oversight.
Manage user assignments with `create_user_and_assign`.
Before, bringing a new hire onto the system was a multi-step chore: create the account in one place, then manually go to the training module manager and assign them to every relevant collection. It took half an hour of clicking through multiple menus.
Now, your agent handles it all. You tell it the user's name and which collections they need, and `create_user_and_assign` does the heavy lifting in a single command. The new employee is set up and assigned training instantly.
What your AI can actually do with this
Managing large-scale safety or skills training used to mean juggling a dozen tabs: one for user lists, one for collection details, and another spreadsheet just for performance data. This MCP changes that. You connect it through Vinkius and your agent acts like a dedicated Learning Management System assistant. Instead of manually exporting reports, you simply ask for the information.
Need to check if an employee passed the 'Forklift Safety' module? Just ask, and your agent gets the latest results from get_activity_data. You can also assign new training modules or even create brand-new users right in the chat. It’s about getting immediate oversight of who needs what training next, keeping compliance simple while you focus on the actual work.
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Here's how it actually works
The bottom line is that your AI client handles all the backend data fetching and reporting, so you don't have to click through multiple dashboards.
First, you subscribe to this MCP and enter your Senar Studio credentials.
Next, you talk to your agent using natural language commands like 'List all users' or 'Get progress for John Doe'.
Your agent calls the necessary tools in the background and delivers a clean, summarized answer directly into your chat.
Who is this actually for?
This MCP is for Training Managers, L&D Specialists, and Safety Officers. These are people who spend too much time clicking between the user database, the compliance reporting tool, and the module assignment screen just to get a single answer about one person's training status.
You assign new modules or check overall organization completion rates for mandatory annual certifications.
You need to quickly pull up historical session records and verify if an employee completed a specific required training module before they can work on-site.
You automate the process of onboarding new employees by creating their profiles and assigning them collections automatically.
What Changes When You Connect
Stop toggling between tabs to check status. With get_progress and get_activity_data, you get a single, summarized view of an employee's completion rate right in your chat.
Automate onboarding compliance. Use create_user_and_assign to instantly provision new users and assign them required collections without manual database entry.
Maintain curriculum accuracy. If training standards change, use add_content to deploy the updated module across all relevant user groups in minutes.
Get full visibility into your training library. Running list_collections shows you every group available, while get_collection_details gives context on what's inside each one.
Audit past performance easily. Instead of digging through logs, running get_user_sessions provides a clean history of when and how often a user accessed the training material.
See it in action
A Safety Officer needs to prove compliance for an audit.
The officer asks their agent, 'Show me all session records for John Doe regarding Forklift Safety.' The agent runs get_user_sessions and provides a clear log of every attempt, ensuring immediate compliance proof.
An L&D Specialist is onboarding a new team.
The specialist uses the agent to run list_users, finds the correct IDs, and then executes create_user_and_assign in one go. The user account is live and assigned training before they even log into the portal.
A Training Manager needs an overall skill report.
The manager asks for a team's current standing, prompting the agent to run get_activity_data which aggregates performance metrics across all assigned collections.
Updating mandatory training content is urgent.
A module needs fixing. The manager uses add_content to deploy 'Updated OSHA Guidelines 2025' into the existing collection, ensuring everyone gets the fix instantly.
The honest tradeoffs
What to watch out for, and the recommended way to handle each one.
Copying data between spreadsheets.
The manager manually exports user lists and then copies training completion percentages from one spreadsheet to another for a quarterly report.
Instead, use the agent's get_activity_data tool. You simply ask for 'Q3 performance reports,' and the structured data appears instantly in your chat.
Confusing user status with module content.
The team member tries to figure out if a specific user is trained by searching general logs, getting noise, and missing key assignments.
Always start by using get_user_details to verify the profile first. This confirms their role and assigned collections before you check any activity.
Forgetting which training group is active.
The L&D specialist isn't sure if 'Advanced Maintenance' or 'Basic Safety' is the correct collection ID to assign a new module to, leading to assignment errors.
First, run list_collections to see all available groups. Then use get_collection_details on the target group to confirm its contents before using add_content.
When It Fits, When It Doesn't
Use this MCP if your core pain point is tracking compliance and managing training lifecycles in a complex, multi-module environment. This connector shines when you need to automate user provisioning (create_user_and_assign) or pull aggregated performance reports across multiple collections (using get_activity_data). Don't use it if your only goal is simple communication; don't try to send an email using this MCP, because that’s a messaging tool. If you just need general HR data like employee names and department IDs without training context, a standard directory lookup service might be better. But if the core of the problem involves 'Who was trained on what, when, and how well?' then this is exactly what you need.
Questions you might have
How do I use Senar.io MCP to see who needs retraining? +
You can check compliance by requesting get_activity_data. This tool compiles detailed results, letting you spot low success rates or users whose training hasn't been updated recently.
Can I use Senar.io MCP to add a new course? +
Yes, the add_content tool lets you update your curriculum. You simply tell the agent where and what content needs adding to an existing collection.
What is the best way to check on a specific user's history with Senar.io MCP? +
Use get_user_sessions to list every single time they accessed training, or run get_progress for their current standing in assigned modules.
Can I assign a new user using the Senar.io MCP? +
Absolutely. The create_user_and_assign tool handles this process, creating the profile and assigning it to collections simultaneously.