"YouTube MCP integration with Cursor AI" matching MCP servers:

Enables ChatGPT web to read local files, search code, run shell commands, and drive a local Codex CLI via an official MCP connector, with human approval for risky commands and full audit logging.

MCP server providing filesystem allowlist and pack-aware Qdrant RAG search. Enables reading files, listing directories, and performing filtered RAG searches with case and pack IDs.

An MCP server that enables AI agents to create, read, edit, and manage Jupyter Notebook files programmatically, overcoming limitations in Cursor's native notebook support.

Integration project for Model Context Protocol (MCP) servers with Claude Desktop App, enabling filesystem operations, development support, and file management through natural language.

Enables fetching YouTube video transcripts as Markdown files with chapter indexing, so LLMs can read only relevant sections and save context.

A persistent SQLite-backed storage server that enables Cursor IDE's AI assistant to remember information across sessions with global or project-specific scopes. It supports complete CRUD operations, tag-based organization, and keyword search to manage user preferences and context effectively.

MCP server for Obsidian vaults, optimised for Cursor agents — safe note editing, lean tool surface, direct filesystem access.

Automatically organizes files in your Downloads folder by categorizing them into appropriate directories based on file types.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

Enables AI agents to search whole NTFS volumes by filename without any background GUI, parsing the $MFT directly and refreshing results from the USN Journal on demand. Supports an Everything-compatible query subset (boolean, path:, ext:, size:, date and regex filters), plus index status and full rebuild tools.

TaskFlow AI is a premium MCP Server designed for AI editors, offering 40+ built-in tools covering file system, HTTP requests, databases, Git operations, and more.

Local-first MCP server for safely searching, reading, summarizing, tagging, deduplicating, and organizing local files with scoped access, read-only defaults, and dry-run plans.

Enables managing Linux hosts and local coding agents from an MCP client through shell commands, files, background jobs, system information, instruction and skill discovery, and optional Claude Code, Codex, or Cursor CLI conversations. It provides privileged remote access with token authentication and can run longer work in the background.

Enables Claude on Windows to use local programs, files, and AI models through a localhost-only MCP server, with plugins for transcription, Office/PDF processing, study-card generation, folder watching, and UI automation. It can also generate, test, and enable new plugins on demand.

Provides a sandboxed filesystem API for AI agents, enabling natural-language file read, write, append, delete, move, list, create, and metadata operations through MCP tools.

Enables a voice-enabled AI assistant to call 7 built-in MCP tools including calculator, web search (DuckDuckGo), weather (wttr.in), date/time, and local file read/write/list operations, integrating with Gemini 2.0 Flash for tool-calling conversations.

Unified personal assistant MCP server that connects local files, GitHub repositories, YouTube playlists, Gmail, and Steam data. Enables querying and managing personal data across multiple platforms through natural language via LM Studio integration.

Enables AI agents to search, browse, download, post-process, and manage comic albums, comments, favorites, rankings, and account sessions through standardized MCP tools and resources.

Provides filesystem access and integration with Z.ai's GLM-4 models for code generation and reasoning tasks. Designed to work as a git submodule with automatic parent repository detection.

Enables translation of JSON i18n files to multiple languages using various AI providers (Google Gemini, OpenAI, Ollama/DeepSeek) with intelligent caching and deduplication.