ViralScout 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 |
|---|---|
| analyze_videoC | Analyze short-form video content from a supplied transcript and optional metadata. Does not claim to fetch private or unsupported platform data. |
| normalize_transcriptC | Clean a pasted transcript or caption block for downstream short-form content analysis. |
| analyze_hookC | Break down the opening words of a short-form transcript and classify the hook pattern. |
| analyze_retentionC | Generate pacing and retention suggestions from transcript length, structure, and optional duration. |
| generate_remix_ideasB | Create original short-form content angles inspired by a topic and optional source hook without copying the source wording. |
| generate_short_scriptC | Generate a concise ready-to-record short-form script framework for a topic. |
| generate_content_gapsB | Generate underserved content-angle hypotheses around a niche. These are ideation hypotheses, not claims of live TikTok search-volume data. |
| create_creator_packC | Create a complete short-form creator pack from a transcript: hook analysis, structure, pacing, keywords, remix ideas, script framework, captions, and CTA prompts. |
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 8 tools
Individual analyze and generate tools target fairly distinct tasks, but create_creator_pack bundles hook analysis, retention, remix ideas, and script generation, overlapping directly with analyze_hook, analyze_retention, generate_remix_ideas, and generate_short_script. The descriptions clarify that one is a complete pack versus standalone components, but an agent may still hesitate between calling the bundled tool or its components.
All tool names use consistent snake_case with a clear verb_noun pattern: analyze_video, normalize_transcript, analyze_hook, analyze_retention, generate_remix_ideas, generate_short_script, generate_content_gaps, create_creator_pack. There are no mixed conventions or vague verb styles.
With 8 tools, the set is well-scoped for short-form video analysis and content generation. Each tool earns its place by covering either normalization, analysis, ideation, or bundled creation, and the count avoids both thinness and bloat.
The tools cover a full transcript-based workflow: normalization, video analysis, hook and retention breakdowns, remix/script/content-gap generation, and an all-in-one creator pack. Minor gaps exist for standalone keyword, caption, or CTA generation, but these are bundled inside create_creator_pack, so agents can still complete the workflow.