Video Editor

Windsor MCP (Model Context Protocol) enables LLMs to query, explore, and analyze your full-stack business data integrated into Windsor.ai. Unlock answers hiding in your martech stack in minutes with zero SQL writing or custom scripting. Documentation: https://windsor.ai/introducing-windsor-mcp/

Aggregates multiple MCP resource servers into a unified proxy, enabling centralized access, request routing, and response aggregation.

Enables interaction with Obsidian vaults for file operations, content search, and metadata management, facilitating note-taking and knowledge base organization.

Extracts and processes complete transcripts from YouTube videos using a single tool that accepts video URLs, enabling content analysis without watching the videos.

A JavaScript-based Model Context Protocol (MCP) server providing translation, language detection, and supported language listing via Devnagri AI APIs, with a focus on Indic languages. It is ideal for integration with AI tools like Claude, GPT, Windsurf and Cursor. The server is designed for fast integration via the MCP protocol and supports flexible deployment through NPX or local setup.

Converts Mermaid diagrams to PNG images using Puppeteer for high-quality headless browser rendering, supporting multiple themes and customizable backgrounds.