ClueoMCP

Product Introduction

1. ClueoMCP is a universal personality layer for Large Language Models (LLMs) that implements the Model Context Protocol (MCP) standard. It enables consistent personality injection across AI platforms using a scientifically validated Big Five personality model (Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism) with 1-10 scoring precision. The system operates as middleware between AI interfaces and LLMs, modifying prompts before processing through patented trait-mapping algorithms.
2. The core value lies in standardizing AI personality implementation across diverse platforms while maintaining psychological accuracy. It eliminates platform-specific personality engineering by providing a unified API for personality injection that works identically in Claude Desktop, Cursor IDE, VS Code, and other MCP-compatible environments. Enterprise versions offer brand consistency monitoring and department-level personality configurations through centralized management dashboards.

Main Features

1. Universal Personality Protocol enables cross-platform consistency through MCP-standard integration, supporting real-time personality injection via CLI commands like inject_personality and inject_preset_personality. The system modifies prompt structures using proprietary templating that embeds personality vectors directly into AI context windows.
2. Enterprise Brand Management provides organization-wide personality control with compliance auditing, featuring granular department presets (sales, support, engineering) and automatic context detection. The admin dashboard tracks personality adherence through NLP analysis of generated content against brand voice guidelines.
3. Adaptive Memory System learns user preferences through usage pattern analysis, offering smart suggestions like "Use empathetic+professional for customer emails" based on historical interactions. Project-specific personality profiles can be saved and auto-applied when working in designated code repositories or document folders.

Problems Solved

1. Eliminates inconsistent AI personality manifestations across different platforms by implementing standardized pre-processing through the MCP protocol. This addresses the challenge of maintaining brand voice uniformity in organizations using multiple AI tools simultaneously.
2. Serves enterprises requiring strict brand compliance, developers building cross-platform AI applications, and power users managing multiple AI-assisted workflows. The system particularly benefits customer-facing teams needing to maintain specific communication tones.
3. Typical scenarios include enforcing empathetic responses in customer support tickets across all company AI tools, maintaining technical precision in engineering documentation, and ensuring sales teams use enthusiasm-optimized language in client communications.

Unique Advantages

1. Differentiates through patent-pending Big Five trait mapping algorithms that convert psychological scores into LLM-readable parameters with 0.1-point precision. Competitors typically offer basic sentiment adjustment rather than clinically validated personality models.
2. Features real-time personality injection at the protocol level, modifying prompts before LLM processing rather than post-generation filtering. This architecture ensures personality integration at the conceptual level rather than surface-level text adjustments.
3. Combines open-source MCP server implementation with enterprise-grade compliance tools, offering both developer flexibility and corporate governance. The system's cross-platform compatibility exceeds competing solutions limited to single environments like Slack or email clients.

Frequently Asked Questions (FAQ)

1. What platforms does ClueoMCP support? The system works with any MCP-compatible client including Claude Desktop, Cursor IDE, Windsurf, and VS Code with MCP extension. Compatibility requires Node.js 18+ and standard MCP server configuration in client settings.
2. Can I create custom personality profiles? Users can define precise personality matrices using the inject_personality API with 1-10 scores across all Big Five traits. The system converts these into optimized prompt modifications through proprietary algorithms.
3. How does enterprise version handle compliance? Enterprise deployments include real-time content analysis against configured brand personalities, generating compliance scores and automated alerts for deviations. Audit trails track all personality modifications across organizational users.
4. What technical requirements exist for deployment? The base system requires Node.js 18+ and MCP client integration. Enterprise features need HTTPS endpoints for centralized control planes and PostgreSQL for usage analytics storage.
5. Is the core technology open-source? The MCP server implementation is MIT-licensed, while advanced personality algorithms and enterprise features remain proprietary. Developers can extend basic functionality but require commercial licensing for production-grade deployments.