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Announcing StackOne Defender: leading open-source prompt injection guard for your agent • Read More →
Production-ready YouTube MCP server with 47 extensible actions — plus built-in authentication, security, and optimized execution.
Coverage
Create, read, update, and delete across YouTube — and extend your agent's capabilities with custom actions.
Authentication
Per-user OAuth in one call. Your YouTube MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →Security
Every YouTube tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →Performance
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every YouTube call.
Tools Discovery →A YouTube MCP server lets AI agents read and write YouTube data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's YouTube MCP server ships with 47 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, and optimized agent context. Connect it from MCP clients like Claude Desktop, Cursor, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
Every action from YouTube's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Upload a caption track for a YouTube video
Retrieve caption tracks for a YouTube video
Download a caption track file from a YouTube video
Update an existing caption track for a YouTube video
Delete a caption track from a YouTube video
Retrieve YouTube channels by handle, username, specific IDs, or authenticated user
Update a YouTube channel's branding settings or localizations
Add a new section to a YouTube channel page
Retrieve the channel sections for a YouTube channel
Update an existing channel section
Delete a channel section from a YouTube channel
Post a new top-level comment on a YouTube video
Retrieve top-level comment threads for a video or channel
Post a reply to an existing YouTube comment
Retrieve replies to a specific comment
Modify an existing YouTube comment
Delete a YouTube comment
Create a new YouTube playlist
Retrieve YouTube playlists by channel, specific IDs, or authenticated user
Update an existing YouTube playlist's metadata
Delete a YouTube playlist
Add a video or other resource to a YouTube playlist
Retrieve playlist items by playlist, specific item IDs, or video filter
Update an existing playlist item
Remove an item from a YouTube playlist
Subscribe the authenticated user to a YouTube channel
Retrieve YouTube channel subscriptions
Unsubscribe from a YouTube channel
Upload a video to YouTube
Retrieve videos by chart popularity, specific IDs, or user rating
Update a video's metadata
Delete a YouTube video
Retrieve the YouTube channel for the authenticated user
Retrieve the list of YouTube video categories
Retrieve the list of supported application languages
Retrieve the list of supported content regions
Retrieve the reasons that can be used to report abusive videos
Retrieve activity events for a YouTube channel
Search for YouTube videos, channels, and playlists
Retrieve channel members for the authenticated channel
Retrieve membership pricing levels for the authenticated channel
Retrieve the authenticated user's rating for one or more videos
Upload and set a branding watermark image for a YouTube channel
Set the moderation status of one or more comments
Remove the watermark image from a YouTube channel
Add a like or dislike rating to a video, or remove a rating
Report a video for containing abusive content
One endpoint. Any framework. Your agent is talking to YouTube in under 10 lines of code.
MCP Clients
Agent Frameworks
{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
origin_owner_id.All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.