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Kinescope MCP (Model Context Protocol)

Updated: 08.05.2026

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”

Key features

Video management

  • Search by title, description, tags
  • Metadata editing
  • Privacy management
  • Copying between projects

Analytics

  • View metrics
  • Audience geography
  • Engagement analysis
  • Custom reports

Content organization

  • Creating projects and folders
  • Playlist management
  • Library structuring

Live streams

  • Creating events
  • Restreaming configuration
  • Recording management

Additional

  • Subtitles and chapters
  • Posters and materials
  • Billing statistics
  • Speak room management
Delete operations are unavailable for security reasons.

Where to start

Step 1: Choose a platform

Option 1: Cursor (recommended for developers)

  • Built-in MCP support
  • Simple JSON configuration
  • Code integration
  • Download Cursor

Option 2: Claude Desktop (recommended for general use)

  • Official AI assistant from Anthropic
  • Quick terminal installation
  • Full out-of-the-box MCP support
  • Download Claude Desktop

Option 3: Claude Code (for developers with Claude)

Option 4: Qwen3 (desktop app)

  • Desktop app with MCP support
  • JSON configuration setup
  • Free to use
  • Download Qwen3
Qwen3 has both a web version (qwen.chat ) and a desktop application. Only the desktop application supports MCP Server.
A Kinescope API token is required. Web versions of AI assistants do not support specifying API tokens in configuration.

Step 2: Get an API token

  1. Open Kinescope settings
  2. Go to the “API tokens” section
  3. Create a new API token (specify a name and choose access rights)
  4. Save the token in a safe place
Using MCP carries certain risks! Be careful when choosing access rights.

Step 3: Configure the connection

  1. Kinescope MCP Server — complete setup guide
  2. Follow the instructions for your platform
  3. Enter the API token in the configuration
  4. Start with simple queries

For advanced users

  1. Study the complex scenario examples
  2. integrate with other tools (Google Drive, spreadsheets)
  3. Automate regular tasks
  4. Use for creating reports

Requirements

Required

  • Kinescope account (recommend Super plan or higher)
  • Kinescope API token
  • Cursor, Claude Desktop, Claude Code, or Qwen3 (desktop application)
  • Videos in your library to work with

Supported platforms

Kinescope MCP Server works with any platform supporting the MCP protocol:

PlatformFeaturesFor whomRequirements
CursoriDE with built-in MCP supportDevelopersAPI token
Claude DesktopOfficial AI assistant from AnthropicGeneral useAPI token
Claude CodeiDE with built-in ClaudeDevelopers with ClaudeAPI token
Qwen3Desktop app with MCP supportDesktop usersAPI token

About the platforms:

  • Cursor — paid iDE (~$20/mo) with built-in MCP support, ideal for developers
  • Claude Desktop — official Anthropic application (~$20/mo), simple terminal installation
  • Claude Code — paid iDE (~$20/mo) with built-in Claude, for developers
  • Qwen3 — free desktop application, available without VPN
Web versions of AI assistants (qwen.chat, claude.ai, etc.) do not support MCP Server, as they do not allow specifying API tokens in configuration. To work with Kinescope MCP Server, you must use desktop applications.

Development status

Current version: Public beta

Kinescope MCP Server is under active development. The core functionality is stable and ready to use, but changes to the API and new features may be added.

What works:

  • Video and metadata management
  • Analytics and reports
  • Content organization
  • Live streams
  • Subtitles and chapters

in development:

  • Direct video file upload
  • Extended analytics capabilities
  • Additional integrations

Usage examples

Quarterly video report

1. Get Q3 OKRs from Google Drive
2. Find all tutorial videos for the quarter
3. Show retention rate and geography
4. Compare with target KPms
5. Create a Google Doc with the report

Content audit

1. Find videos without descriptions or with outdated tags
2. Create a tracking spreadsheet
3. identify update priorities

Access management

1. Update privacy for internal videos
2. Restrict access by corporate domains
3. Verify access rights by project

Limitations

  • Data deletion — unavailable for security reasons
  • Rate limits — depend on your Kinescope plan
  • File upload — not yet available; use the web interface
  • Account settings — only available in the web interface

What’s next?

  1. Kinescope MCP Server — detailed setup guide
  2. Usage Examples — ready-made usage scenarios
  3. FAQ — answers to common questions
  4. API Reference — documentation for APIs used by MCP Server
  5. MCP Documentation — official protocol documentation
  6. Developer Guides — API and SDK

Community and support

  • GmtHub — technical documentation and examples
  • the support chat within the Kinescope interface — support and questions
  • Email — feedback

We are actively developing Kinescope MCP Server and welcome your feedback!


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

Section pages

  • Kinescope MCP Server

    Detailed guide to setting up Kinescope MCP Server: connecting in Cursor, Claude Desktop via Smithery CLI (mcp add), Claude Code, and Qwen3, video management, and analytics.

  • Kinescope MCP Usage Examples

    Practical scenarios for working with Kinescope through Am assistants: video search, analytics, content management, creating reports, bulk operations.

  • Kinescope MCP FAQ

    Answers to common questions about Kinescope MCP Server: setup, security, platforms, limitations, troubleshooting.