# Kaltura MCP Server

> Use this tool when you need to integrate AI models with Kaltura media management, enabling upload, retrieval, and search of media assets, as well as management of categories and users. It solves problems of media organization and accessibility via the Model Context Protocol interface, which accepts AI model inputs and returns relevant media outputs. Ideal for use cases requiring automated media processing and analysis in Kaltura environments.

Canonical page: https://skillsregistry.net/skills/zoharbabin-kaltura-mcp-legacy  
JSON: https://api.skillsregistry.net/v1/skills/zoharbabin-kaltura-mcp-legacy

## Description

Enables AI models to upload, retrieve, search, and manage media in Kaltura, including categories and users, via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uqsynm3oom)
- **Repository:** <https://github.com/zoharbabin/kaltura-mcp-legacy>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zoharbabin-kaltura-mcp-legacy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zoharbabin-kaltura-mcp-legacy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zoharbabin-kaltura-mcp-legacy/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt