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Why this server?
This server enables users to store, manage, and summarize notes using a custom URI scheme, with functionality to add new notes and generate summaries with varying levels of detail.
Why this server?
MCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.
Why this server?
Facilitates initiating Ollama queries via Claude and manages a simple note storage system with capabilities to add, summarise, and access notes using custom URIs.
Why this server?
Allows LLM tools like Claude Desktop and Cursor AI to access and summarize code files through a Model Context Protocol server, providing structured access to codebase content without manual copying.
Why this server?
A Model Context Protocol server implementation that provides a standardized interface for interacting with Spiral's language models, offering tools to generate text from prompts, files, or web URLs.
Why this server?
An experimental MCP server that makes YouTube playlist transcripts available for AI assistants, enabling search and conversation about video content.
Why this server?
A service that extracts and transcribes audio content from videos across 1000+ streaming websites including YouTube, Bilibili, TikTok, and Twitter, supporting multiple transcription providers like Deepgram, Gladia, Speechmatics, and AssemblyAI.
Why this server?
A comprehensive system for managing AI-assisted agile development workflows with a modern, resource-based API using FastMCP.
Why this server?
A minimal server that provides Claude AI with secure file system access and sequential thinking capabilities, allowing Claude to navigate directories, read files, and break down complex problems into structured thinking steps.
Why this server?
Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPi, aiding LLMs in finding code examples and documentation.