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Kinescope MCP (Model Context Protocol)

Updated: 05.08.2026

Kinescope MCP Server is a server implementing the Model Context Protocol (MCP), which allows AI assistants to securely interact with the Kinescope platform through natural language queries.

Kinescope MCP

Who this section is for

  • Managers and marketers — automate video analysis and content management
  • Content managers — organize your media library through AI dialogue
  • Developers — integrate Kinescope into AI applications through a standardized protocol
  • Analysts — quickly create reports and analyze video performance

What is Kinescope MCP

Model Context Protocol (MCP) is an open standard developed by Anthropic that allows AI assistants to securely interact with external services and data.

Examples of what you can do:

  • “Find all videos with the ’tutorial’ tag from the last quarter”
  • “Show view statistics for the ‘Marketing’ project for the month”
  • “Create a new project ‘Training Videos 2026’ with private access”
  • “Which countries watch our demo videos most?”
  • “Update the video description and add chapters with timestamps”

What you can do through MCP

  • Video — search by name, description, and tags, edit metadata, privacy, copying between projects
  • Analytics — views, geography, engagement, and custom reports
  • Structure — projects, folders, and playlists
  • Live streams — events, restreaming, recordings
  • Also — subtitles and chapters, posters, billing statistics, Speak rooms
Deletion operations are unavailable for security reasons.

What’s in this section

  • Kinescope MCP server — setting up the connection in Cursor, Claude Desktop, Claude Code, and Qwen3, getting an API token, platform requirements
  • Usage examples — ready-made prompts, from finding a video to a quarterly report and a library audit
  • FAQ — limitations, access rights, security, and common errors

Development status

Current version: public beta. The core functionality is stable, but the API is still changing and new capabilities are being added.

Working: video and metadata management, analytics and reports, content organization, live streams, subtitles and chapters.

In development: direct video file upload, extended analytics, additional integrations.

What’s next?

  1. Developer guides — the same capabilities directly through the REST API
  2. Catalog and video management — what MCP does to your media library, but by hand in the interface
  3. MCP documentation — the official protocol description

Community and support

  • GitHub — technical documentation and examples
  • Telegram — support and questions
  • Email — feedback

Still have questions? Write to the support chat within the Kinescope interface — our specialists will help!