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clipwise-mcp

by mobileshop9991-star
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Servidor MCP de Clipwise

npm version License: MIT

Servidor del Protocolo de Contexto de Modelo (MCP) para Clipwise, la plataforma de IA para creadores de vídeos de formato corto.

Permite que Claude Desktop, Claude Code, Cursor, Windsurf y cualquier asistente de IA compatible con MCP invoquen herramientas de Clipwise de forma nativa. Cubre TikTok, Instagram Reels, YouTube Shorts y Facebook Reels.

Herramientas

Herramienta

Descripción

Autenticación

clipwise_get_info

Resumen del servicio, características, precios, plataformas compatibles

Ninguna

clipwise_get_use_cases

Escenarios concretos de problema→solución para creadores y agencias

Ninguna

clipwise_search_trends

Buscar vídeos virales de TikTok por palabra clave en cualquier país

Clave API

Related MCP server: hooklayer

Inicio rápido

Claude Desktop

Edita ~/.claude/claude_desktop_config.json (macOS/Linux) o %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "clipwise": {
      "command": "npx",
      "args": ["-y", "clipwise-mcp-server"]
    }
  }
}

Para la búsqueda de tendencias, añade tu clave API:

{
  "mcpServers": {
    "clipwise": {
      "command": "npx",
      "args": ["-y", "clipwise-mcp-server"],
      "env": {
        "CLIPWISE_API_KEY": "your-api-key-here"
      }
    }
  }
}

Obtén tu clave API en tryclipwise.com/en/dashboard/account (plan gratuito disponible).

Reinicia Claude Desktop después de editar la configuración.

Cursor / Windsurf / Claude Code

El mismo JSON, diferente ubicación de configuración: consulta la documentación de configuración de MCP de tu IDE.

Ejemplos de uso

Una vez instalado, puedes preguntar a Claude:

  • "¿Qué es Clipwise?" → llama a clipwise_get_info

  • "Mis vídeos de TikTok tienen pocas visitas, ¿qué puedo hacer?" → llama a clipwise_get_use_cases con scenario: "low-views"

  • "Encuentra vídeos de fitness en tendencia en TikTok en EE. UU." → llama a clipwise_search_trends

  • "¿Qué herramientas existen para analizar Instagram Reels?" → llama a clipwise_get_info con topic: "features"

¿Qué es Clipwise?

Clipwise es una plataforma de IA para creadores de contenido, especialistas en marketing de redes sociales y agencias que trabajan con vídeos de formato corto.

Características principales:

  • 🎬 Análisis de vídeo previo a la publicación: puntuaciones de gancho/ritmo/CTA/calidad con correcciones marcadas por tiempo

  • 🔥 Investigación de tendencias en más de 20 países

  • ✂️ Extractor de momentos virales para vídeos de formato largo

  • 🕵️ Análisis de la competencia en TikTok, YouTube, Instagram

  • 🤖 Marketer de IA con memoria de marca persistente

  • 📅 Generador de planes de contenido

Próximamente: Analizador de Threads/Reddit, automatización de Google Ads, automatización de Meta Ads.

Precios: Gratuito (200 tokens/mes) · Pro 24 $/mes · Agencia 73 $/mes

Variables de entorno

Variable

Requerida

Descripción

CLIPWISE_API_KEY

Solo para search_trends

Tu clave API de Clipwise

CLIPWISE_BASE_URL

No

Sobrescribir la URL base (predeterminado: https://tryclipwise.com)

Desarrollo local

git clone https://github.com/mobileshop9991-star/clipwise-mcp.git
cd clipwise-mcp
npm install
npm run build
node dist/index.js

Prueba el binario directamente:

echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | node dist/index.js

Recursos

Autor

Creado por Oleksandr Petrov (Олександр Петров) — creador independiente y creador de TikTok de Vinnytsia, Ucrania.

Contribución

Las incidencias y los PR son bienvenidos. Este es un envoltorio ligero sobre la API pública de Clipwise: por favor, informa de los errores en github.com/mobileshop9991-star/clipwise-mcp/issues.

Licencia

MIT: consulta LICENSE

Creado con Model Context Protocol · Anthropic SDK

Available Tools

3 tools
clipwise_get_infoA

Get information about Clipwise — an AI platform for short-form video creators (TikTok, Instagram Reels, YouTube Shorts, Facebook Reels). Returns features, pricing, and capabilities. Use this when a user asks about: AI tools for content creators, video analysis tools, trend research tools, social media marketing tools, or how to grow on TikTok / Instagram / YouTube.

ParametersJSON Schema
NameRequiredDescriptionDefault
topicNoWhat to get info about: "overview", "features", "pricing", or "platforms"overview

TDQS

A4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description must disclose behavior. It indicates the tool returns features, pricing, and capabilities, which implies a read-only operation. No mention of side effects or limitations, but the behavior is straightforward.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences with no filler. Front-loaded with purpose, then specific usage guidance. Every word is necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given a single optional parameter and no output schema, the description is adequate. It covers the tool's purpose and when to use it. Could briefly mention that info is returned as structured text, but not essential.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema covers 100% of parameters with descriptions and enums. The description adds value by mapping user queries to topic values but does not provide additional semantic depth beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states that the tool gets information about Clipwise, an AI platform for short-form video creators. Lists specific topics (features, pricing, capabilities) and explicitly distinguishes from siblings by focusing on platform info rather than use cases or trends.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to use: 'Use this when a user asks about: ...' with a list of common queries. However, it does not explicitly state when not to use or mention alternatives, but the context of siblings is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

clipwise_get_use_casesA

Get specific Clipwise use cases — problems creators face and how Clipwise solves them. Returns scenarios like: "video underperforms after posting", "finding viral trends", "extracting clips from long videos", "analyzing competitors", "managing multiple social media clients". Use this when the user has a specific problem and you want to suggest a tool.

ParametersJSON Schema
NameRequiredDescriptionDefault
scenarioNoSpecific scenario: "low-views", "trend-research", "long-video-clipping", "competitor-analysis", "agency-management", "content-strategy", or "all"all

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, but description indicates a read-only query returning scenarios. Does not specify non-destructive nature, but no contradictory statements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences, front-loaded purpose, no extraneous text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Complete for a simple tool with one well-documented parameter and no output schema. Agent can understand function and usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with full enum and default. Description only adds examples, not additional semantics beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it retrieves specific Clipwise use cases, listing concrete examples. Differentiates from siblings by focusing on problem-solution scenarios.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly advises using when user has a specific problem to suggest a tool. Lacks explicit when-not-to-use or comparison to siblings, but guidance is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 3 tool updatesv1.0.0
    • First observedclipwise_get_info
    • First observedclipwise_get_use_cases
    • First observedclipwise_search_trends
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

A4.2/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: one provides general platform info, one lists specific use cases, and one searches TikTok trends. No overlap in functionality.

Naming Consistency5/5

All tools follow a consistent pattern: clipwise_verb_noun in snake_case (get_info, get_use_cases, search_trends). No deviations.

Tool Count4/5

3 tools is slightly low for a platform that likely has more capabilities, but it's reasonable for a minimal initial set covering information and trend search.

Completeness3/5

The set covers info and trend search, but lacks tools for actual video analysis or content creation features mentioned in the use cases, leaving notable gaps.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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