"YouTube Studio" matching MCP servers:

Bridges Linear issue tracking and GitHub repository management with ARC naming conventions, enabling composite workflows like creating a Linear issue and GitHub branch in one step.

Enables Microsoft Copilot Desktop and Microsoft 365 Copilot Studio to post/read Slack messages, query GitHub repository status, and monitor live pod health and fleet runtime briefs.

MCP server + CLI for automating Oracle Visual Builder Studio/VBCS app development, enabling artifact read/write, build/audit execution, and VBCS REST API interactions from Claude.

MCP server for structured document management of markdown and YAML files, with RBAC, git-based approval workflows, and semantic search, enabling agents to read, edit, and maintain documents under governance.

Enables people and AI agents to query local code repositories as graphs through stdio MCP tools for project listing, search, dependency tracing, impact analysis, bridge detection, node inspection, bounded code reading, and optional LSP definition/reference lookups.

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 interact with the Windows desktop environment, including browser control, clipboard, file management, GitHub, Roblox Studio, OCR, and more, with a privileged approval system for risky actions.

Enables querying a Mendix application model through Claude—entities, microflows, pages, references, and git-history semantic diffs of .mxunit—without opening Studio Pro. It lets users inspect dependencies, impact, access rules, and changes directly in conversation.

A multi-tool MCP server that summarizes YouTube transcripts, provides transcript statistics, offers health checks, and suggests git commit messages based on changes.

Provides AI agents with production-ready integrations for GitHub repository management, sandboxed code execution, SFTP file operations, web search and scraping, YouTube, Google Workspace, Notion, and more.

Enables coding agents to access approved user stories and acceptance criteria via MCP, with tools to list, retrieve, update, and check story requirements against the working tree.

Enables the analysis of GitHub Pull Requests to extract metadata, commits, and code changes for structured AI insights. It also supports the optional creation of Notion pages to store and organize the resulting analysis.