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OpenClueo MCP Server

OpenClueo MCP Server

๐ŸŽญ OpenClueo MCP Server

The Universal AI Personality Layer for Model Context Protocol

Patent-pending technology that transforms any AI into a consistent, branded personality across all platforms.

npm version License: MIT PRs Welcome

Transform any MCP-compatible AI with rich, consistent personalities powered by OpenClueo's scientifically-backed Big Five personality engine. The first universal AI personality protocol that works across Claude Desktop, Cursor, Windsurf, VS Code, and any MCP-compatible platform.

โšก Quick Start

# Install from npm
npm install -g @openclueo/mcp

# Add to your IDE (Claude Desktop example)
{
  "mcpServers": {
    "clueo-mcp": {
      "command": "@openclueo/mcp",
      "env": {
        "CLUEO_API_URL": "https://backend.clueoai.com",
        "CLUEO_API_KEY": "your_api_key_here"
      }
    }
  }
}

# Start using personalities instantly!
inject_preset_personality "Hello, how can I help?" "professional"
inject_personality "Write an email" {"openness": 8, "conscientiousness": 9}

Related MCP server: CacheTank MCP Server

๐ŸŒŸ What Makes OpenClueo MCP Revolutionary?

๐ŸŽฏ Universal AI Personality Protocol

The first standardized method for applying consistent personality traits across ALL AI platforms:

  • Cross-Platform: Same personality in Claude, ChatGPT, Cursor, Windsurf, VS Code

  • Real-Time: Personality applied before AI processing, not after

  • Scientific: Big Five psychological model with numerical precision (1-10 scale)

  • Consistent: Identical personality behavior across all your AI tools

๐Ÿข Enterprise Brand Personality

Patent-pending technology for organization-wide AI brand consistency:

  • Brand Compliance: Ensure all company AI interactions match your brand voice

  • Department Variations: Customer service (empathetic), Sales (enthusiastic), Engineering (analytical)

  • Context Awareness: Automatically adapts personality based on communication context

  • Analytics: Track brand personality performance and ROI across your organization

๐Ÿง  Adaptive Memory System

AI that learns YOUR personality preferences:

  • Smart Suggestions: "You often use empathetic + professional for customer emails"

  • Project Memory: Save default personalities for specific projects

  • Usage Analytics: Understand your personality patterns and success rates

  • Context Learning: System improves recommendations based on your patterns

๐Ÿš€ Installation & Setup

Prerequisites

  • Node.js 18+

  • An MCP-compatible client (Claude Desktop, Cursor, Windsurf, VS Code, etc.)

  • Get your API key (optional for basic use)

# Install globally
npm install -g @openclueo/mcp

# Verify installation
@openclueo/mcp --version

Option 2: From Source

git clone https://github.com/ClueoFoundation/ClueoMCP.git
cd ClueoMCP
npm install
npm run build

๐Ÿ”Œ IDE Integration

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "clueo-mcp": {
      "command": "@openclueo/mcp",
      "env": {
        "CLUEO_API_URL": "https://backend.clueoai.com",
        "CLUEO_API_KEY": "your_api_key_here"
      }
    }
  }
}

Cursor IDE

  1. Settings โ†’ Features โ†’ Model Context Protocol

  2. Add Server:

    • Name: clueo-mcp

    • Command: @openclueo/mcp

    • Environment: CLUEO_API_URL=https://backend.clueoai.com

Windsurf IDE

  1. Settings โ†’ Advanced โ†’ Cascade

  2. Add custom server:

{
  "mcpServers": {
    "clueo-mcp": {
      "command": "@openclueo/mcp",
      "env": {
        "CLUEO_API_URL": "https://backend.clueoai.com",
        "CLUEO_API_KEY": "your_api_key_here"
      }
    }
  }
}

VS Code (with MCP extension)

Install the MCP extension, then add the OpenClueo server to your workspace settings.

๐ŸŽญ Personality Presets

8 scientifically-crafted personalities for common scenarios:

Preset

Personality Traits

Best For

Professional

Balanced (6,8,6,7,3)

Business communications, formal emails

Creative

High Openness (9,6,7,6,4)

Brainstorming, content creation, marketing

Empathetic

High Agreeableness (7,7,6,9,3)

Customer support, counseling, HR

Analytical

High Conscientiousness (8,9,5,6,2)

Technical docs, research, analysis

Enthusiastic

High Extraversion (8,7,9,7,2)

Sales, presentations, team motivation

Casual Friend

Balanced & Relaxed (7,5,7,8,3)

Informal chats, internal communication

Luxury Brand

Sophisticated (6,9,6,6,2)

Premium brand voice, high-end clients

Startup Brand

Bold & Innovative (9,8,8,6,3)

Tech startups, innovation messaging

Values shown as (Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism)

๐Ÿ› ๏ธ Core Tools

inject_personality

Apply custom Big Five personality traits to any text:

{
  "text": "Hello, how can I help you today?",
  "personality": {
    "openness": 7,        // Creativity, curiosity (1-10)
    "conscientiousness": 8, // Organization, discipline (1-10)
    "extraversion": 6,     // Sociability, energy (1-10)
    "agreeableness": 9,    // Cooperation, empathy (1-10)
    "neuroticism": 3       // Emotional stability (1-10, lower = more stable)
  },
  "apiKey": "your_api_key"
}

inject_preset_personality

Apply predefined personality presets:

{
  "text": "Thanks for your feedback on our product",
  "presetId": "empathetic",
  "apiKey": "your_api_key"
}

simulate_response

Generate AI responses with specific personality:

{
  "prompt": "A customer is frustrated with delayed shipping",
  "personality": {
    "openness": 6,
    "conscientiousness": 9,
    "extraversion": 5,
    "agreeableness": 10,
    "neuroticism": 2
  },
  "apiKey": "your_api_key"
}

๐Ÿง  Advanced Memory Features

Smart Personality Suggestions

get_memory_suggestions {"context": "customer_email"}
# Returns: "You typically use empathetic + professional for customer emails"

Project-Level Personality

save_project_personality {
  "projectPath": "/work/customer-portal",
  "projectName": "Customer Support Portal",
  "personality": {"openness": 7, "conscientiousness": 9, "extraversion": 6, "agreeableness": 8, "neuroticism": 3}
}

Usage Analytics

get_usage_analytics {"userId": "optional"}
# Returns: Most used personalities, success rates, recommendations

๐Ÿข Enterprise Features

Brand Personality Management

  • Organization-wide consistency: Ensure all AI interactions match your brand

  • Department variations: Different personalities for different teams

  • Compliance monitoring: Track adherence to brand guidelines

  • Role-based access: Control who can modify brand personalities

Advanced Analytics

  • Brand performance metrics: Track personality effectiveness

  • Department usage patterns: See how different teams use AI personalities

  • ROI measurement: Understand the business impact of consistent AI branding

  • Compliance reporting: Generate reports for brand guideline adherence

Enterprise API Endpoints

# Apply company brand personality
inject_brand_personality {"organizationId": "company_uuid", "text": "Customer response"}

# Validate brand compliance
validate_brand_compliance {"organizationId": "company_uuid", "text": "Generated response"}

# Deploy organization-wide personality
deploy_brand_personality {"organizationId": "company_uuid", "brandPersonality": {...}}

๐Ÿ”ง Configuration

Environment Variables

# Required
CLUEO_API_URL=https://backend.clueoai.com

# Optional (get at https://api.clueoai.com/)
CLUEO_API_KEY=your_api_key_here

# Server Configuration
MCP_SERVER_NAME=clueo-mcp
MCP_SERVER_VERSION=1.2.20
LOG_LEVEL=info

Big Five Personality Science

Each dimension uses a 1-10 scale based on established psychological research:

  • Openness (1-10): Creativity, curiosity, openness to new experiences

  • Conscientiousness (1-10): Organization, dependability, self-discipline

  • Extraversion (1-10): Sociability, assertiveness, energy level

  • Agreeableness (1-10): Cooperation, trust, empathy towards others

  • Neuroticism (1-10): Emotional instability, anxiety (lower = more stable)

๐ŸŽฏ Use Cases

Personal AI Enhancement

  • Consistent personality across all your AI tools

  • Context-aware suggestions based on your work patterns

  • Project-specific personalities for different types of work

  • Learning from your preferences to improve over time

Enterprise Brand Management

  • Customer Service: Ensure empathetic, helpful responses across all channels

  • Sales Team: Maintain enthusiastic, professional communication

  • Technical Support: Provide analytical, precise assistance

  • Marketing: Consistent brand voice in all AI-generated content

Developer Integration

  • API-first design: Integrate personality into any application

  • Cross-platform compatibility: Works with any MCP-compatible AI

  • Real-time processing: Personality applied before AI generation

  • Scalable architecture: From personal use to enterprise deployment

๐Ÿ“Š API Rate Limits & Pricing

Plan

Monthly API Calls

Price

Best For

Free

100 calls

$0

Personal exploration

Dev+

5,000 calls

$25

Individual developers

Operator

50,000 calls

$149

Small teams

Enterprise

Custom

Contact

Large organizations

Get your API key โ†’

๐Ÿค Contributing

We welcome contributions to the open source OpenClueo MCP Server!

  1. Fork the repository

  2. Create your feature branch (git checkout -b feature/amazing-personality)

  3. Commit your changes (git commit -m 'Add amazing personality feature')

  4. Push to the branch (git push origin feature/amazing-personality)

  5. Open a Pull Request

๐Ÿ“„ License

MIT License - see LICENSE for details.

Note: The core personality injection technology is patent-pending. This open source implementation provides basic functionality, while advanced enterprise features require a commercial license.

๐ŸŒŸ Why OpenClueo MCP Changes Everything

Before OpenClueo MCP:

  • โŒ Generic, inconsistent AI responses across platforms

  • โŒ No brand personality control for organizations

  • โŒ Manual personality prompting for every interaction

  • โŒ No learning or memory of personality preferences

With OpenClueo MCP:

  • โœ… Universal personality protocol across ALL AI platforms

  • โœ… Scientific Big Five model with precise numerical control

  • โœ… Enterprise brand consistency with compliance monitoring

  • โœ… Adaptive memory system that learns your preferences

  • โœ… Real-time personality injection before AI processing

  • โœ… Patent-protected innovation with open source accessibility

๐Ÿš€ What's Next?

OpenClueo MCP represents the first step toward universal AI personality standardization. As the ecosystem grows, we're building:

  • Personality Marketplace: Buy, sell, and share personality presets

  • Industry-Specific Templates: Healthcare AI, Legal AI, Financial AI personalities

  • Advanced Analytics: Deep insights into AI personality performance

  • Multi-Modal Support: Personality for voice, video, and other AI modalities

Join the AI personality revolution. ๐ŸŽญโœจ


Ready to give your AI a consistent, memorable personality across every platform?

Get Started Now โ†’

Made with โค๏ธ by Clueo Foundation

Available Tools

7 tools
get_memory_suggestionsC

Get personality suggestions based on context and usage history

Inputs: context (required), userId.

get_usage_analyticsB

Get analytics about personality usage patterns

Inputs: userId.

inject_personalityC

Inject personality traits into text using Clueo API

Inputs: text (required), personality (required), apiKey.

inject_preset_personalityC

Inject a predefined personality preset into text

Inputs: text (required), presetId (required), apiKey.

list_personality_presetsB

List all available personality presets

Inputs: category, search.

save_project_personalityC

Save a default personality configuration for a specific project

Inputs: projectPath (required), projectName (required), personality (required), userId.

simulate_responseC

Simulate an AI response with specific personality traits

Inputs: prompt (required), personality (required), apiKey.

Tool Schema Changelog

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

Loading tool schema changelogโ€ฆ

    TDQS

    B3.4/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools have distinct purposes, but 'inject_personality' and 'inject_preset_personality' could be confusing as they both inject personality into text with only subtle differences. The other tools are clearly separated by function (suggestions, analytics, listing, saving, simulation).

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case, such as 'get_memory_suggestions', 'list_personality_presets', and 'save_project_personality'. This predictability makes the set easy to navigate and understand.

    Tool Count5/5

    With 7 tools, the server is well-scoped for managing personality traits and configurations. Each tool serves a specific role in the workflow, from listing presets to injecting and simulating personalities, without feeling bloated or sparse.

    Completeness4/5

    The tool set covers core operations like listing, injecting, saving, and simulating personalities, with good lifecycle coverage. A minor gap is the lack of a tool to delete or update saved project personalities, which might limit agent flexibility in configuration management.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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