Skip to main content
Glama
Ambrose1

Smart Clip MCP

by Ambrose1
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
OPENAI_API_KEYYesYour OpenAI API key for LLM-driven video analysis and clipping.

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
logging
{}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
extensions
{
  "io.modelcontextprotocol/ui": {}
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
smart_clip_toolA

从长视频中自动识别精彩片段并裁切输出。适用于口播、播客、直播回放等语音驱动内容。

repurpose_toolA

将长视频自动重制为适配目标平台的短视频。自动识别精彩内容、裁切、加字幕、调比例。

highlight_reel_toolB

从多个视频中提取精彩片段合成集锦视频。支持跨视频主题聚合。

analyze_content_toolA

分析视频内容，输出结构化报告，不执行剪辑。用于预览和决策。

get_edit_plan_toolA

生成剪辑方案但不执行，返回方案供人工审核。审核通过后调用 smart_clip 执行。

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Ambrose1/Smart-Clip-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server