content-repurposing-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_repurpose_mapA | Given a source content type (long_video, podcast_episode, blog_or_essay, single_short_video), returns every format it can become and exactly how to adapt it. Omit source for all maps. |
| get_platform_specsA | Platform specs for adapting content: aspect ratio, ideal length, caption style, hashtag norms, hook rule, cadence note. Platforms: tiktok, reels, shorts, reel_carousel, x_thread, linkedin, newsletter. Omit for all. |
| adapt_for_platformA | Given a target platform, returns the adaptation rules to reshape a piece of content for it (aspect, length, hook approach, caption style, hashtags, what NOT to do). Platforms: tiktok, reels, shorts, reel_carousel, x_thread, linkedin, newsletter. |
| extract_atomic_contentA | The 6 atomic content types you can pull from one long asset (pull quotes, clips, stats/receipts, steps/lists, story beats, questions) and what each becomes. Use to break one asset into many posts. |
| get_repurpose_workflowB | The 'film once, cut many' batch workflow: capture one strong asset, extract atomic pieces, adapt each per platform, schedule across the week. Returns the step-by-step. |
| get_full_packA | The complete repurposing library in one payload: repurpose maps, platform specs, atomic types. For full agent context. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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