Server data from the Official MCP Registry
Positioning framework, per-platform bio auditing, 4-pillar content system, growth-signal reads.
About
Positioning framework, per-platform bio auditing, 4-pillar content system, growth-signal reads.
Security Report
This is a well-structured, educational MCP server with no security vulnerabilities, proper input validation, and appropriate permissions for its purpose. The server provides positioning and content strategy frameworks for creators with no external API calls, no credential handling, no file I/O, and no dangerous operations. Code quality is excellent with clear structure and comprehensive documentation. Supply chain analysis found 2 known vulnerabilities in dependencies (0 critical, 2 high severity). Package verification found 1 issue.
3 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-closermethod-personal-brand-mcp": {
"args": [
"-y",
"personal-brand-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Personal Brand MCP
Positioning, bios, content pillars, platform strategy — the frameworks for building an audience that buys, not just watches.
Disclaimer. Structured positioning frameworks from documented practice. Growth varies with consistency, proof quality, and niche.
Why This Exists
Every creator's AI assistant gets asked the same four questions: who is my content for, what should my bio say, what should I post, and which platform matters. Most agents answer with vibes. This MCP answers with frameworks and audits — and it refuses to let positioning outrun proof.
The house rule: positioning without receipts is a costume.
7 Tools
| Tool | What it returns |
|---|---|
get_positioning_framework | The niche statement formula (WHO x OUTCOME x HOW x RECEIPT), 4 checks, proof inventory, moat check |
audit_bio | PASS/NEEDS WORK per platform: char limits, hype titles, title-first openers, missing outcome |
get_bio_rules | Bio architecture per platform (tiktok, instagram, linkedin, x, youtube) |
get_content_pillars | The 4-pillar system: receipts ~30%, method ~40%, story ~20%, conversion ~10% |
get_platform_strategy | Each platform's strategic role, conversion path, cadence floor, watch-out |
interpret_growth_signal | What your growth pattern means (high views/flat followers, high DMs/low sales...) and the fix |
get_full_pack | Everything in one payload |
Install
npx personal-brand-mcp # once published to npm
# or from source:
git clone https://github.com/closermethod/personal-brand-mcp && cd personal-brand-mcp && npm i && npm run build && node dist/main.js
Claude Desktop config:
{ "mcpServers": { "personal-brand": { "command": "npx", "args": ["personal-brand-mcp"] } } }
The Family
Get positioned (this one) → get seen (content-hooks-mcp) → get the reply (outbound-engine-mcp) → price the deal (creator-deals-mcp) → own the audience (newsletter-growth-mcp). Full catalog: MCP Hub
Built By
Elisabeth Hitz — 10+ years enterprise sales, reverse-engineered for creators.
License: MIT
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption