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ClueoMCP

ClueoMCP

The open protocol for AI personality injection

Website github.com
Overview

What it is

🎭 The Personality Layer for LLMs- Transform any MCP-compatible AI with rich, consistent personalities powered by Clueo's Big Five personality engine. - ClueoFoundation/ClueoMCP

Intent

I need it when

Quickly test and deploy different AI personality configurations for specific use cases

ClueoMCP offers 8 pre-configured personality presets (Professional, Creative, Empathetic, Analytical, Enthusiastic, Casual, Luxury Brand, Startup Brand) that can be instantly applied via inject_preset_personality, enabling rapid experimentation without manual Big Five configuration.

Personalize AI assistant behavior based on individual work patterns and project context

ClueoMCP's adaptive memory system learns user personality preferences, suggests context-aware personality combinations for specific tasks, saves project-level personality defaults, and provides usage analytics to improve recommendations over time.

Maintain brand-consistent AI communication across customer-facing teams

ClueoMCP provides enterprise brand personality management with department-specific variations (empathetic for support, analytical for engineering, enthusiastic for sales), allowing organizations to enforce consistent brand voice across all AI interactions while tracking compliance and ROI.

Integrate personality-driven AI capabilities into custom applications and workflows

ClueoMCP provides API-first design with enterprise endpoints (inject_brand_personality, validate_brand_compliance, deploy_brand_personality) and supports real-time personality processing before AI generation, enabling developers to embed personality features into any MCP-compatible application.

Apply consistent personality traits to AI responses across multiple IDE platforms

ClueoMCP enables users to inject Big Five personality dimensions (1-10 scale) into AI outputs before generation, ensuring identical personality behavior across Claude Desktop, Cursor, Windsurf, VS Code, and any MCP-compatible platform without platform-specific customization.

Drop

Not a fit when

  • User needs a standalone personality service without MCP integration or IDE compatibility
  • Organization requires proprietary, closed-source personality engine rather than open-source solution
  • User works exclusively with non-MCP AI platforms that do not support Model Context Protocol
  • Team needs real-time personality analytics and compliance reporting without custom API implementation
  • User requires pre-built enterprise deployment without self-hosting or configuration
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Pricing

USD0 / monthly View pricing