Role Context
Manages contextual boundaries for AI agents based on defined roles.
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Role Context is a Model Context Protocol (MCP) server designed for role-based context management for AI agents. It allows users to establish clear instructions, objectives, and domain knowledge for each agent, keeping role-relevant memory partitioned and scoped to prevent cross-contamination. It also enables dynamic adaptation of tone and style per role, by using tone profiles baked into the prompt.
Características Principales
- Role-specific memory storage with TTL and limits
- Provides tools for role management and query processing
- Role-specific system prompts and instructions
- Exposes roles as MCP resources
- Offers prompts for role-based interactions
Casos de Uso
- Establish clear instructions for AI agents with specific expertise
- Dynamically adapt tone and style per role
- Keep role-relevant memory partitioned
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