Enterprise LMS Intelligence Layer
Paradiso MCP Server Connects Your LMS to Every AI Tool You Use
Your team already uses Claude, ChatGPT and Copilot. Paradiso MCP Server gives them access to your LMS data, so questions about completions, certifications and skill gaps get answered without an export.
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Note: Available now for enterprise customers. We onboard teams in sequence so every deployment gets direct engineering support.
The Challenge
Enterprise L&D teams have the data. The problem is connectivity.
AI tools operate in isolation from LMS data
Claude, Copilot, and ChatGPT cannot query completion records, learner progress, or training analytics from your Paradiso LMS without a dedicated integration layer.
Reporting requires manual data aggregation every cycle
L&D and HR teams spend significant weekly capacity exporting, merging, and reconciling data from disparate systems before a single report reaches leadership.
Enrollment and onboarding workflows remain manual
Without system-to-system triggers between HRIS and LMS, new hire enrollment, role-change re-assignment, and compliance deadline management all require human intervention.
No unified view of learner progress across the enterprise
Business stakeholders, regional managers, and CLOs lack real-time visibility into training completion, certification status, and learning ROI without custom build-outs.
Why Paradiso MCP Server
One Hub. Every AI Tool. Zero Silos.
Multi-AI Integration
Natively connects Claude, ChatGPT, Microsoft Copilot, and custom AI models through a single, unified protocol layer, eliminating redundant integrations and API sprawl.
Real-Time Orchestration
Route tasks, queries, and workflows to the right AI model at the right moment. Live analytics dashboards keep every stakeholder informed and every decision data-backed.
Enterprise-Grade Scalability
Architected for high-concurrency enterprise environments. From 50 users to 500,000, Paradiso MCP Server scales horizontally without performance degradation.
You Decide What the AI Sees
Connecting an AI assistant means some learning context reaches that assistant. Paradiso MCP Server governs exactly what: scope permissions per tool, per role and per tenant, restrict to metadata only, and audit every query. Nothing is exposed by default.
Secure & Compliant
SOC 2 Type II certified, end-to-end encrypted, with role-based access control and audit logging. You control which LMS data each AI assistant can reach, down to the field. Queries run through a permissioned gateway with per-tenant isolation, and every request is logged.
Plug-and-Play API Design
RESTful and MCP-native APIs with comprehensive SDKs mean your development team can onboard in hours, not sprints. Pre-built connectors for 20+ enterprise systems included.
Technical Capabilities
What You Can Do with Paradiso MCP Server
User Management
- List, search, and filter all platform users by role, status, or department
- Bulk-create users from CSV or ERP/HR system feeds
- View full user profiles including learning history and login status
- Suspend, reactivate, or reassign users without touching the UI
- Sync user records with HRIS (Workday, SAP, BambooHR)
Course Management
- List all courses with metadata: status, enrollment count, completion rate
- Create and update courses programmatically from content pipelines
- Retrieve full course contents, modules, and SCORM activity trees
- Track activity-level completions across users and cohorts
- Clone and version-control course templates at scale
Learner Analytics
- Track individual user progress, time-on-task, and engagement depth
- Pull grades, quiz scores, and assignment submission status
- Retrieve certificate issuance records and badge achievements
- Access calendar events and ILT attendance per learner
- Generate AI-powered learner performance narratives
LMS-Wide Analytics
- Enrollment stats across all courses, groups, and time ranges
- Platform-wide quiz performance and assessment analytics
- Certificate tracking with bulk export capabilities
- Leaderboard data for gamification dashboards
- ILT session overview: seat fill rate, no-shows, completion
ILT Session Management
- Create, update, and cancel ILT sessions with instructor assignment
- Retrieve attendance summaries and mark completion
- Schedule training cohorts with room or virtual link assignment
- Sync ILT events to Google Calendar or Outlook
- Send automated pre- and post-session communications via AI
Enrollment Automation
- Enroll individual users or entire groups into courses instantly
- Trigger rule-based auto-enrollment on HRIS events (new hire, role change)
- Batch-enroll from CSV, API payload, or CRM trigger
- Set enrollment deadlines and send AI-generated reminders
- Unenroll and re-enroll with audit trail preservation
Integration Ecosystem
Connect Everything. Orchestrate Anything.
Paradiso MCP Server sits at the center of your enterprise AI stack. A plug-and-play integration hub with API-first architecture that works with every system you already use.
Claude AI
ChatGPT
MS Copilot
Gemini
Model Context Protocol (MCP)
MCP Server
REST API - Webhooks - SDK
Paradiso LMS
CRM/Salesforce
ERP/SAP
HRIS/Workday
20+ Pre-Built Connectors
Out-of-the-box integrations for Salesforce, SAP, Workday, BambooHR, Slack, Microsoft Teams, Google Workspace, and more. Go live in hours, not months.
Open SDK for Custom Builds
Python, Node.js, and Java SDKs with full MCP protocol support. Your developers can build custom connectors and tools in a single afternoon.
Bi-Directional Data Sync
Real-time webhooks and event streaming ensure every connected system stays perfectly in sync, with no polling, no stale data, and no data silos.
Governed Integration Layer
Every integration runs through Paradiso's permissioned API gateway with rate limiting, audit logging, and per-tenant data isolation enforced at the protocol level.
The Operational Shift
What changes for L&D and HR operations when Paradiso MCP Server is deployed.
Got Questions?
Frequently Asked Questions
Can’t find what you’re looking for? Talk to our team.
Paradiso MCP Server connects your LMS with AI assistants like ChatGPT, Claude, and Microsoft Copilot through the Model Context Protocol. It allows learners to view course progress, find training content, and monitor certifications directly within their AI assistant, without needing to log into the LMS or switch between platforms.
Supports leading AI assistants like ChatGPT, Claude, and Microsoft Copilot, enabling real-time access to learning data and insights.
Yes, MCP can be used with ChatGPT to securely connect your LMS data. This allows users to ask questions, check learning progress, and access training information directly within ChatGPT in real time.
An API connects systems by allowing them to exchange data through predefined endpoints. MCP is a more advanced approach that enables AI assistants to understand context and interact with systems like an LMS in a more intelligent and conversational way, rather than just sending and receiving data.
It can be set up by IT teams, system administrators, or implementation partners with access to your LMS environment.
Paradiso offers AI-powered content creation, personalized learning paths, skill mapping, automated tagging, and intelligent search.
Paradiso MCP Server runs through a permissioned API gateway with per-tenant data isolation, role-based access control, rate limiting and full audit logging. Data is encrypted in transit and at rest. You scope which LMS objects each connected AI assistant can query, and every request is recorded against the user who made it.
Only the data returned by the specific query, scoped to the permissions you set. You can restrict access to metadata, exclude personally identifiable fields, or limit a tool to named courses and groups. Paradiso does not send your learning content or learner records to any model for training purposes.
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