F
licenseNot graded
qualityD
maintenanceEnables AI applications to integrate with YouTube-Summarizer's APIs through the MCP protocol, offering local tool-based interaction for summarizing YouTube content.
3
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MCP Server
by kabir-ti
Servidor MCP
El servidor MCP se crea sobre todas las API de YouTube-Summarizer. Todas las API se exponen como herramientas en el protocolo MCP y están disponibles para la integración con cualquier aplicación de IA.
Nota: Actualmente MCP solo admite conexiones locales, por lo que no admite el uso remoto de estas herramientas.
Configuración
Configuración de Docker
Construya la imagen de Docker:
docker build -t youtube-summarizer-mcp .Ejecute el servidor MCP usando Docker:
docker run -i --rm youtube-summarizer-mcpUsando el Inspector
Puede utilizar el Inspector MCP para explorar las herramientas disponibles y probarlas:
./inspector.shUso con Claude Desktop
Agregue lo siguiente a su claude_desktop_config.json :
{
"mcpServers": {
"youtube-summarizer": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"youtube-summarizer-mcp"
]
}
}
}Ahora puedes usar las herramientas mcp agregadas desde server.py en Claude Desktop
Ejemplo de cliente MCP (sin Claude Desktop)
Ejecute el cliente MCP localmente para probar el kit de herramientas sociales usando lenguaje natural:
Configuración
./setup.shCorrer
./run.shSe ejecutarán tanto el servidor como el cliente MCP, conectados entre sí. La terminal solicitará consultas en lenguaje natural al usuario, que luego se traducirán en llamadas a la herramienta MCP para responder a la consulta.
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
Related MCP Connectors
The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.
The Mercado Pago MCP Server implements the Model Context Protocol to provide AI agents and LLMs with access to Mercado Pago's APIs and tools within compatible development environments. It acts as an intermediary that translates Mercado Pago resources into executable functions (tools) that AI applications can invoke to perform actions and automate flows. The server simplifies integration, enables using documentation to implement or improve code, and optimizes operations through natural language interactions without manual implementations.
YouTube transcripts, search, channel browsing, and playlists for AI agents via MCP.
MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.
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