Kinescope MCP Server

kinescope1.7kstars

1# Kinescope MCP Server

README.mdMCP server

Transport: stdio
Status: Local

Power your agent

Add this server

Install from the publisher. Not a PlugMCP endpoint.

Run on PlugMCP

Host a copy with our keys and logs.

No packaged release in the registry yet. Follow the repository README..

RepositoryPublisher installStep-by-step: add this in Claude

Remote URL or a command on your machine? How the two installs differ

Run on PlugMCP

Host a copy with our keys and logs.

A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.

Launch

Server facts

Local

Transport: stdio
Last checked: 2026-10-26

Stars: 1.7k
Tools: —
Uptime: —

Overview

About Kinescope MCP Server

Kinescope MCP Server — Integrates Kinescope's video platform with AI assistants via the Model Context Protocol. Manage videos, access analytics, control live streams, and automate workflows through natural language. Upload, organize, update metadata, view performance metrics, and manage playlists without leaving your AI assistant. Useful for content creators, media teams, and developers who want to streamline video operations with AI assistance.

Tools

No tool list yet. Remote servers get one after the first health check.

FAQ

Questions

How do I install Kinescope MCP Server?

Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.

Does Kinescope MCP Server need an API key?

No required environment variable is listed on this record.

What transport does Kinescope MCP Server use?

Kinescope MCP Server runs locally over stdio.

When was Kinescope MCP Server last checked?

Last checked 2026-10-26. Kinescope MCP Server — Integrates Kinescope's video platform with AI assistants via the Model Context Protocol. Manage videos, access analytics, control live streams, and automate workflows through natural language. Upload, organize, update metadata, view performance metrics, and manage playlists without leaving your AI assistant. Useful for content creators, media teams, and developers who want to streamline video operations with AI assistance.

From the publisher