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🎬 ViralScout MCP

A TYKAIRO AI product — Founded by Mahmoud Hisham

Free MCP toolkit that turns short-form video transcripts into hook analysis, retention ideas, original remix angles, and ready-to-record creator packs.

TypeScript Node.js No API Key TYKAIRO AI

ViralScout helps creators understand why a short-form video works and turn those patterns into original ideas without copying distinctive source wording or footage.

⚡ Quick start

git clone https://github.com/TYKAIRO-AI/ViralScout-MCP.git
cd ViralScout-MCP
npm install
npm run build
npm start

Run the full validation suite:

npm run check

npm run check builds the production server and runs unit tests plus an end-to-end STDIO MCP smoke test.

Related MCP server: @aryaminus/socials-mcp

8 focused MCP tools

Tool

What it does

analyze_video

Full transcript-based short-form breakdown

normalize_transcript

Clean pasted captions/transcripts

analyze_hook

Classify and improve the opening pattern

analyze_retention

Suggest pacing and pattern interrupts

generate_remix_ideas

Produce original angles inspired by a topic

generate_short_script

Create a ready-to-record script framework

generate_content_gaps

Generate underserved-angle hypotheses

create_creator_pack

One-call complete creator workflow

Example prompts

Analyze this transcript and explain the hook, structure, and retention opportunities.
Create five original remix ideas about fitness tips without copying the source wording.
Create a complete TikTok creator pack from this transcript.

MCP client configuration

After building locally:

{
  "mcpServers": {
    "viralscout": {
      "command": "node",
      "args": ["/absolute/path/to/ViralScout-MCP/dist/index.js"]
    }
  }
}

Cloud-safe by design

The hosted core requires:

  • No API key

  • No paid external processing service

  • No subscriber credential

  • No shared secret

  • No account setup

The cloud-safe version does not claim to provide live TikTok search-volume data or download protected/private platform media. URLs are treated as source metadata unless an explicitly documented local workflow is used.

What ViralScout is good at

ViralScout focuses on reusable communication structure:

Transcript / captions
        ↓
Hook + structure analysis
        ↓
Retention opportunities
        ↓
Original remix angles
        ↓
Script framework / creator pack

It is useful for creators, social teams, marketers, agencies, and developers building MCP-powered content workflows.

MCPize deployment

Recommended listing configuration:

  • Name: ViralScout — Short-Form Video Analysis Toolkit

  • Slug: viralscout

  • Category: Creator Tools / Marketing

  • Pricing: Free

  • Credentials: None

  • Visibility: Public

  • Repository: this public GitHub repository

Before publishing, verify all tools in the MCPize Playground and confirm the listing does not request a workspace key, API key, or subscriber secret.

Limitations

ViralScout intentionally distinguishes deterministic analysis from live platform analytics.

generate_content_gaps returns content-angle hypotheses, not measured TikTok search demand. Validate trend and search assumptions using current platform-native insights.

The hosted core expects the user to provide a transcript/captions. Optional local media extraction may be added separately so the lightweight hosted server remains reliable.

Safety & originality

ViralScout is intended for inspiration, analysis, and original content creation. Do not use it to reproduce another creator's distinctive script, footage, branding, or copyrighted creative expression.

Contributing

See CONTRIBUTING.md. Issues and feature ideas are welcome.

If ViralScout helps your workflow, consider starring the repository so more creators and MCP builders can discover it.

Privacy

See PRIVACY.md.

Security

See SECURITY.md.

License and ownership

Copyright © 2026 Mahmoud Hisham.

Use is permitted under the source-available terms in LICENSE. Republishing, reselling, redistributing, rebranding, or modified re-upload as another standalone commercial product is prohibited without written permission.


ViralScout MCP — by Mahmoud Hisham / TYKAIRO AI

Available Tools

8 tools
analyze_hookC

Break down the opening words of a short-form transcript and classify the hook pattern.

Inputs: transcript (required).

analyze_retentionC

Generate pacing and retention suggestions from transcript length, structure, and optional duration.

Inputs: transcript (required), durationSeconds.

analyze_videoC

Analyze short-form video content from a supplied transcript and optional metadata. Does not claim to fetch private or unsupported platform data.

Inputs: transcript (required), niche, title, platform, +2 more.

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.

Inputs: transcript (required), topic, audience, platform, +1 more.

generate_content_gapsB

Generate underserved content-angle hypotheses around a niche. These are ideation hypotheses, not claims of live TikTok search-volume data.

Inputs: topic (required), audience.

generate_remix_ideasB

Create original short-form content angles inspired by a topic and optional source hook without copying the source wording.

Inputs: topic (required), count, sourceHook.

generate_short_scriptC

Generate a concise ready-to-record short-form script framework for a topic.

Inputs: topic (required), tone, targetSeconds.

normalize_transcriptC

Clean a pasted transcript or caption block for downstream short-form content analysis.

Inputs: transcript (required), removeSpeakerLabels.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.1/5.0

    Scored across 8 tools

    Disambiguation3/5

    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.

    Naming Consistency5/5

    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.

    Tool Count5/5

    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.

    Completeness4/5

    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.

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