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bullet-mcp

MCP server for evidence-based bullet point summarization guidance. Validates and improves bullet lists using scientifically-validated principles from cognitive psychology and UX research.

Features

• Score bullet lists (0-100) against 7 evidence-based rules
• Letter grades (A/B/C/D/F) with actionable feedback
• Research citations for each validation rule
• Context awareness (document, presentation, reference)
• Sections support for long documents with multiple chapters/topics

Installation

npm install bullet-mcp

Or install globally:

npm install -g bullet-mcp

Usage

Claude Desktop Configuration

Add to your Claude Desktop config (claude_desktop_config.json):

{
  "mcpServers": {
    "bullet": {
      "command": "npx",
      "args": ["bullet-mcp"]
    }
  }
}

Tool: bullet

Validates bullet point lists against evidence-based cognitive research.

Input:

{
  "items": [
    { "text": "Use 3-7 items per list for optimal recall", "importance": "high" },
    { "text": "Place critical information first and last" },
    { "text": "Maintain parallel grammatical structure" },
    { "text": "Keep lines between 45-75 characters" },
    { "text": "Limit hierarchy to 2 levels maximum" }
  ],
  "context": "document"
}

Output:

{
  "overall_score": 97,
  "grade": "A",
  "summary": "Excellent bullet list following evidence-based best practices.",
  "top_improvements": ["Consider adding detail or combining with a related point"],
  "errors": [],
  "warnings": [],
  "suggestions": [...]
}

Sectioned Mode (for long documents)

For long documents with multiple chapters or topics, use the sections format. Each section is validated separately (3-7 items per section), allowing unlimited total content.

Input:

{
  "sections": [
    {
      "title": "Chapter 1: Introduction",
      "items": [
        { "text": "Define the problem scope and context" },
        { "text": "Outline key objectives and goals" },
        { "text": "Summarize the main approach taken" }
      ]
    },
    {
      "title": "Chapter 2: Methods",
      "items": [
        { "text": "Describe data collection procedures" },
        { "text": "Explain analysis methodology used" },
        { "text": "Detail validation steps performed" }
      ],
      "context": "reference"
    }
  ],
  "context": "document"
}

Output includes per-section breakdown:

{
  "overall_score": 95,
  "grade": "A",
  "section_scores": [
    { "title": "Chapter 1: Introduction", "score": 96, "grade": "A", "item_count": 3 },
    { "title": "Chapter 2: Methods", "score": 94, "grade": "A", "item_count": 3 }
  ],
  "summary": "Excellent structured summary across 2 sections."
}

Validation Rules

Rule	Threshold	Research Basis
List Length	3-7 items (5 optimal)	Miller (1956), Cowan (2001): Working memory 3-4 chunks
Hierarchy	Max 2 levels	Kiger (1984), Nielsen: 2-level structures fastest
Line Length	45-75 chars (66 optimal)	Typography research on readability
Serial Position	Important info first/last	Ebbinghaus (1885): U-shaped retention curve
Parallel Structure	Consistent grammar	Frazier et al. (1984): Faster scanning
First Words	Unique, scannable	Nielsen eye-tracking: First 2 words critical
Formatting	Consistent punctuation	Usability research

Context Options

• document (default): Optimizes for scanning and reference
• presentation: Warns that visuals may be 43% more persuasive
• reference: Optimizes for quick lookup

Environment Variables

Variable	Default	Description
BULLET_STRICT_MODE	false	Treat warnings as errors
BULLET_NO_CITATIONS	false	Disable research citations in output
BULLET_NO_COLOR	false	Disable colored console output

Development

# Install dependencies
npm install

# Build
npm run build

# Test with MCP Inspector
npm run dev

Research Foundation

This tool is based on docs/bullet-study.md, a synthesis of cognitive psychology research on optimal list design including:

• Working memory capacity (Miller, Cowan)
• Serial position effects (Ebbinghaus, Murdock)
• Eye-tracking studies (Nielsen Norman Group)
• Information architecture (Kiger, Zaphiris)
• Typography research (45-75 character optimal line length)

License

MIT