vidcap-mcp-server

This project provides a Model Context Protocol (MCP) server that acts as a proxy to the VidCap YouTube API, allowing AI assistants to easily access YouTube video data and functionalities. It also serves as a boilerplate for building custom MCP servers.

• Github
• NPM

• VidCap YouTube API
• MCP Client Integration
• Claude Desktop Configuration
• Claude Code Integration
• Security Best Practices
• Advanced Configuration
• Troubleshooting
• Available MCP Tools
• Source Code Overview

This server also proxies requests to the VidCap YouTube API, providing convenient access to YouTube video data and functionalities. You will need a VIDCAP_API_KEY set in your environment variables.

Endpoints are available under the /api/v1/youtube/ path:

• GET `/info`
• Description: Get and save YouTube video information.
• Query Parameters:
• url (string, required): YouTube video URL.
• cache (boolean, optional, default: true): Whether to cache video info.
• GET `/media`
• Description: Get available media formats for a YouTube video.
• Query Parameters:
• url (string, required): YouTube video URL.
• GET `/caption`
• Description: Get video captions/transcript.
• Query Parameters:
• url (string, required): YouTube video URL.
• locale (string, optional, default: 'en'): Language code for captions.
• model (string, optional): AI model for processing.
• ext (enum, optional): File extension for captions (json3, srv1, srv2, srv3, ttml, vtt).
• GET `/summary`

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