# Content Engine

> Use this tool when you need to generate high-quality content, such as video scripts, images, and videos, from any topic using AI-powered creation. It solves problems like content creation bottlenecks and provides a pay-per-use model with tools like `create_script`, `create_image`, and `create_video`, which take text prompts as input and produce customized content as output. Ideal for autonomous agents, it offers a seamless interface with no API keys or subscriptions required, allowing for efficient content generation on demand.

Canonical page: https://skillsregistry.net/skills/myai-bdc-ce-mcp  
JSON: https://api.skillsregistry.net/v1/skills/myai-bdc-ce-mcp

## Description

AI content creation for autonomous agents. Generate video scripts, images, and videos from any topic via MCP tools — pay-per-use in USDC with x402 protocol. No API keys, no signup, no subscriptions.
                                                                                                                                                                                                                
  ### Free Tools                                            
  - `get_pricing` — Live USDC pricing for all operations
  - `get_queue_status` — Queue position and estimated wait time
  - `get_content` — Full content item details
  - `get_content_status` — Lightweight status polling for pipeline progress

  ### Paid Tools (x402 USDC)
  - `create_script` — Generate AI video script from any topic
  - `create_image` — Generate image from text prompt
  - `create_video` — Produce video from completed script
  - `run_full_pipeline` — End-to-end script + video from a single prompt

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/myAI_BDC/ce_mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "myai-bdc-ce-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/myai-bdc-ce-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/myai-bdc-ce-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt