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"Using YouTube to obtain and summarize video content" matching MCP servers:
- AlicenseBqualityDmaintenanceAn MCP server providing video processing capabilities through FFmpeg, enabling dialog-based local video search, trimming, concatenation, and playback functionalities.8142MIT
- Alicense-qualityDmaintenanceA Model Context Protocol (MCP) server that converts LaTeX mathematical expressions to MathML format.7MIT
- Alicense-qualityDmaintenanceAn MCP server that executes Manim Python scripts to generate and return rendered animations. It enables users to create mathematical and programmatic videos dynamically through natural language interfaces.3MIT
- Alicense-qualityDmaintenanceA simple server that acts as a Master Control Program (MCP) for unified interaction with OpenAI and Anthropic (Claude) AI models through a single API endpoint.26MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to write and execute C# code directly inside Autodesk Civil 3D, providing full API access through code generation and execution.101MIT
- FlicenseBqualityDmaintenanceBridges Claude Desktop with Claude Code CLI to delegate complex coding tasks like creating React apps, building APIs, and debugging scripts while maintaining interaction through the Desktop interface.51
- AlicenseCqualityDmaintenanceConverts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.3148MIT
- Alicense-qualityDmaintenanceA lightweight TypeScript-based MCP server that demonstrates how to build custom MCP tools by implementing a simple addition calculator. Serves as a starting point for building MCP-compatible tools.1,347MIT
- Alicense-qualityCmaintenanceA production-ready foundation template for building Model Context Protocol (MCP) servers with FastAPI, featuring modular tools, comprehensive testing, and OpenShift deployment configurations. Includes automated transformation scripts to create custom domain-specific MCP servers.65Apache 2.0
- Alicense-qualityDmaintenanceA development server that automatically discovers and exposes tools from the src/tools directory, allowing you to create and run Machine Comprehension Protocol (MCP) services with either HTTP or STDIO transport methods.161MIT
- Flicense-qualityDmaintenanceIntegrates ElevenLabs Text-to-Speech capabilities with Cursor through the Model Context Protocol, allowing users to convert text to speech with selectable voices within the Cursor editor.1
- AlicenseAqualityAmaintenanceA professional implementation of a Model Context Protocol server that enables integration between DaVinci Resolve video editing software and AI assistants like Claude Desktop or Cursor.1323GPL 3.0
- AlicenseBqualityDmaintenanceEnables pattern-based file editing operations using copy/paste functionality with text landmarks instead of exact string matching. Allows AI agents to efficiently manipulate file content by identifying code patterns and insertion points without consuming large amounts of context tokens.1MIT
- AlicenseDqualityDmaintenanceA Model Context Protocol server that provides specialized prompt suggestions for backend development, frontend development, and general tasks to help LLMs generate better content.6361MIT
- Apache 2.0
- Alicense-qualityDmaintenanceA demonstration implementation of Model Context Protocol (MCP) using NestJS framework, allowing developers to build MCP-compatible applications with playground testing capabilities.47MIT
- Alicense-qualityCmaintenanceEnables coding agents to create, deploy, invoke, and monitor serverless functions using 12 MCP tools, with support for multiple runtimes and remote MCP access.363Inno Setup
- Alicense-qualityDmaintenanceA boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK, with example implementations of tools (calculator, greeting) and resources (server info).270MIT
- Alicense-qualityFmaintenanceProvides hashline-based file editing using line-addressed edits and content hashes for integrity verification. It enables LLMs to perform precise file modifications while ensuring edits are rejected if the file content has changed since the last read.158MIT
