creator-ops-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| extract_shorts_hooksA | Analyze a transcript and return ranked YouTube Shorts candidates scored by the ShortScore formula (0.30·H + 0.20·R + 0.20·E + 0.15·P + 0.10·C + 0.05·S). Applies hard rejection rules for filler starts, dangling pronouns, and dead zones. |
| generate_chaptersB | Generate non-spoiling YouTube chapters from a transcript. Chapters use the [Searchable Subject] + [Non-Spoiling Outcome Category] formula. The first chapter always starts at 00:00. Spoiler guard replaces reveal-type titles with curiosity categories based on spoilerPolicy. |
| generate_seo_metadataB | Generate a 5-archetype title matrix (Curiosity Gap, FOMO, Before/After, Extreme Contrast, Authority/Proof) plus a visual thumbnail brief in Midjourney and Flux prompt formats. All titles are under 60 characters. Returns suggested description and tags. |
| audit_complianceA | Scan a transcript and optional metadata for compliance risks before publishing. Detects clickbait overpromise, profanity/demonetization triggers, sensitive claims (medical/financial/legal), PII leaks (phone, email, SSN), and copyright signals. Returns overall risk level, per-flag severities, monetization safety, and publish-readiness. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each of the four tools targets a clearly distinct output: ranked shorts candidates, chapter markers, SEO title/thumbnail matrix, and a compliance risk report. There is no plausible scenario where these overlap, and the descriptions reinforce the boundaries.
All names follow a consistent snake_case verb_noun pattern (extract_*, generate_*, generate_*, audit_*), with verbs that accurately reflect each action. The naming is predictable and readable.
Four tools is well-scoped for a transcript-processing creator-ops pipeline and each earns its place. It sits at the thin end, but nothing feels redundant or missing for the stated purpose.
The surface covers the core post-transcript workflow: shorts extraction, chapters, SEO metadata (titles, description, tags), and pre-publish compliance. Minor gaps exist, such as no transcript ingestion/preprocessing or analytics/publishing step, but the set is usable end to end.