About
A Model Context Protocol server that enables AI assistants to create, update, delete, and manage Kaltura virtual events, sessions, templates, and related resources through the Kaltura Event Platform API.
Capabilities
Kaltura Events MCP
The Kaltura Events MCP is a dedicated Model Context Protocol server that bridges AI assistants with the Kaltura Event Platform API. It gives developers a seamless, programmatic way to create, manage, and query virtual events directly from conversational agents. By exposing a rich set of tools and resources, the server eliminates the need for custom integration code, allowing AI assistants to orchestrate event workflows in real time.
Why It Matters
Virtual events are increasingly central to remote engagement, yet the Kaltura API’s complexity can be a barrier for rapid prototyping. The MCP server abstracts authentication, endpoint selection, and request formatting behind simple tool calls. This means an AI assistant can, for example, ask a user to “schedule a webinar tomorrow at 3 PM” and the assistant will translate that request into an authenticated API call, create the event, and return a shareable link—all without exposing the underlying OAuth or session key details.
Core Features
- Event Lifecycle Management – Tools such as , , and let assistants control the entire event lifecycle from a single command.
- Session Handling – With and , the MCP supports granular control over individual sessions within a larger event, useful for multi‑track conferences.
- Template Discovery – The resource gives quick access to pre‑configured event layouts, enabling rapid deployment without manual configuration.
- Filtering & Pagination – supports query parameters, allowing assistants to retrieve only relevant events (by date, status, or owner) and handle large result sets gracefully.
- Multi‑Region Support – By configuring or custom API URLs, the server can target production, European, or German deployments, ensuring compliance with regional data residency requirements.
Real‑World Use Cases
- Automated Webinar Scheduling – A chatbot can prompt a user for date and time, create the event, and send out invitations.
- Event Analytics Dashboards – AI assistants can pull session data to populate real‑time dashboards or trigger alerts when attendance drops below a threshold.
- Hybrid Event Orchestration – Combine Kaltura sessions with other tools (e.g., ticketing APIs) to manage a full hybrid event workflow from a single conversational interface.
- Compliance Auditing – Use the server to audit event configurations against organizational policies by querying templates and session settings.
Integration Into AI Workflows
Developers embed the MCP server into their AI assistant’s environment by adding it as a tool source. The assistant can then invoke the exposed tools directly, receiving structured JSON responses that can be parsed or displayed. Because the server handles authentication via a Kaltura Session key, developers only need to supply that key once—either as an environment variable or within a configuration file—streamlining the onboarding process for new users.
Standout Advantages
- Zero Code Overhead – No need to write custom API wrappers; the MCP exposes a clean, declarative interface.
- Security by Design – Session keys are passed securely to the server, keeping credentials out of client code.
- Scalable Configuration – The ability to switch between Kaltura environments with simple environment variables makes the server suitable for both development and production deployments.
- Extensibility – The toolset can be expanded by adding new endpoints, allowing future enhancements without changing the assistant’s core logic.
In summary, the Kaltura Events MCP empowers AI assistants to manage virtual events effortlessly, delivering a powerful combination of convenience, security, and flexibility for developers building next‑generation event‑centric applications.
Related Servers
n8n
Self‑hosted, code‑first workflow automation platform
FastMCP
TypeScript framework for rapid MCP server development
Activepieces
Open-source AI automation platform for building and deploying extensible workflows
MaxKB
Enterprise‑grade AI agent platform with RAG and workflow orchestration.
Filestash
Web‑based file manager for any storage backend
MCP for Beginners
Learn Model Context Protocol with hands‑on examples
Weekly Views
Server Health
Information
Explore More Servers
MCP-Client OpenAI
OpenAI‑style API for local MCP models
BI Chart MCP Server
Python-powered visualizer for BI charts via Model Context Protocol
dagger/container-use
MCP Server: dagger/container-use
MCP Test Openshift Server
Testing MCP on Red Hat OpenShift for continuous integration
Workato MCP Server
AI‑powered Workato API integration for Cursor and Claude
Singapore LTA MCP Server
Real‑time Singapore transport data at your fingertips