ShortsMonkey YouTube Outlier Research

io.github.cuilinhaoPublished by GitHub account cuilinhaov0.2.0Updated Oct 24, 2026

Find YouTube outliers, daily viral Shorts, and analyze video performance.

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Overview

AI-generated overview

A remote MCP server that lets an assistant find YouTube outlier videos and daily viral Shorts and analyze their performance.

What you can do
Find YouTube outlier videos and daily viral Shorts for research and inspiration. Analyze video performance to compare how videos are doing. Results come from the ShortsMonkey service over a remote connection, so the assistant can query it directly without local setup.
When to use it
Useful when you want an assistant to surface trending or high-performing YouTube Shorts and outliers, or to look into how specific videos are performing, without leaving the conversation.
Requirements
A remote endpoint at mcp.shortsmonkey.com over streamable HTTP. A ShortsMonkey token is required, sent as a Bearer value in the Authorization header; the token is obtained from the ShortsMonkey MCP access page. No local runtime or packages are needed.
Before you install
The Authorization header carries a secret ShortsMonkey token; keep it private and avoid exposing it in shared logs or transcripts. Queries and results pass through the third-party ShortsMonkey service, so consider what you send. Access may depend on a ShortsMonkey account or plan.

Installation

In SourceWeft

  1. Open ShortsMonkey YouTube Outlier Research in the dashboard and add it to a workspace.
  2. Connect Authorization token credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.cuilinhao%2Fshortsmonkey-youtube-outlier-research/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "shortsmonkey-youtube-outlier-research": {
      "type": "http",
      "url": "https://mcp.shortsmonkey.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

Tools

0
This server asks for a credential such as an API key, so SourceWeft could not read its tools without one and has not indexed them.

Version history

1
  1. v0.2.0LatestSep 16, 2026

Score

67% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.