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Glama
yangbuyiya

Short Video MCP Server

by yangbuyiya
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
share_url_parse_tool_wrapperB
      解析视频分享链接，获取视频信息
      参数:
      - url: 视频分享链接
      返回:
      - code: 状态码
      - msg: 状态信息
      - data: 视频信息
video_id_parse_tool_wrapperA
      根据视频来源和ID解析视频信息
      参数:
      - source: 视频来源
      - video_id: 视频ID
      返回:
      - code: 状态码
      - msg: 状态信息
      - data: 视频信息
share_text_parse_tool_wrapperC
      提取视频内容，需要传递apikey，否则无法使用视频内容提取功能！
      参数:
      - text: 抖音分享文本，包含分享链接
      - api_base_url: API基础URL，默认使用siliconflow.cn
      - model: 语音识别模型，默认使用FunAudioLLM/SenseVoiceSmall

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.5/5.0

Scored across 3 tools

Disambiguation5/5

Each tool targets a distinct input method (text, URL, source+ID) for parsing short video information, with clear descriptions preventing overlap.

Naming Consistency5/5

All tools follow the consistent pattern of 'input_parse_tool_wrapper', making the naming predictable and easy to understand.

Tool Count5/5

Three tools is well-scoped for a server focused on parsing short video references from common inputs, with no unnecessary or missing tools.

Completeness5/5

The tool surface covers all common ways to reference a short video (shared text, URL, or direct ID), making it complete for its intended purpose.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources