Cuddler Platform

io.github.CuddlerAIPublished by GitHub account CuddlerAIv1.0.0Updated Oct 26, 2026

Generate video and images with prepaid USD billing and explicit per-job spending limits.

VerifiedStreamable HTTPWeb executableMedia & Design

Overview

AI-generated overview

Remote MCP endpoint for generating video and images, billed in prepaid USD with explicit per-job spending limits.

What you can do
  • Generate video from prompts through the Cuddler Platform.
  • Generate images from prompts.
  • Run generation jobs under a spending limit set per job, drawn from a prepaid USD balance.
  • No tool list is published, so the exact operations are only visible after connecting.
When to use it
Useful when an assistant should produce video or image assets and you want prepaid, per-job capped spending rather than open-ended usage.
Requirements
A remote streamable HTTP endpoint at api.cuddler.ai; no local package. OAuth authentication is required, with an Authorization header carrying a Bearer token that is your Cuddler Platform organization API key. A funded prepaid USD balance on that organization.
Before you install
Generation spends real money from a prepaid USD balance; check the per-job spending limit before running jobs. The organization API key is sent as a Bearer token in the Authorization header, so keep it secret. Prompts and generated assets go to a third-party service.

Installation

In SourceWeft

  1. Open Cuddler Platform in the dashboard and add it to a workspace.
  2. Connect the required 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.CuddlerAI%2Fplatform/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. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "cuddler-platform": {
      "type": "http",
      "url": "https://api.cuddler.ai/v1/mcp"
    }
  }
}

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.0.0LatestOct 18, 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.