Role-Specific Context MCP Server

what is MCP-Server? MCP-Server is a Model Context Protocol (MCP) server designed to manage contextual boundaries based on agent roles within a system, enabling role-based context management for AI agents. how to use MCP-Server? To use MCP-Server, clone the repository, install dependencies, set up your OpenAI API key, and run the server. You can then process queries using specific roles or create custom roles through the provided tools and HTTP API. key features of MCP-Server? Role management with customizable roles and tone profiles. Role-specific memory management with retrieval and time-to-live settings. Integration with MCP resources for role-based interactions. use cases of MCP-Server? Managing different AI agents like Marketing Experts or Technical Writers with tailored instructions. Storing and retrieving role-specific memories to enhance interaction relevance. Adapting the tone and style of responses based on the agent's role. FAQ from MCP-Server? Can MCP-Server handle multiple roles simultaneously? Yes! MCP-Server is designed to manage multiple roles and their specific contexts effectively. What are the prerequisites for running MCP-Server? You need Node.js 18+ and an OpenAI API key to run the server. Is there a limit on the number of roles I can create? No, you can create as many custom roles as needed, but memory limits per role apply.

As an MCP (Model Context Protocol) server, Role-Specific Context MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use MCP-Server, clone the repository, install dependencies, set up your OpenAI API key, and run the server. You can then process queries using specific roles or create custom roles through the provided tools and HTTP API. key features of MCP-Server? Role management with customizable roles and tone profiles. Role-specific memory management with retrieval and time-to-live settings. Integration with MCP resources for role-based interactions. use cases of MCP-Server? Managing different AI agents like Marketing Experts or Technical Writers with tailored instructions. Storing and retrieving role-specific memories to enhance interaction relevance. Adapting the tone and style of responses based on the agent's role. FAQ from MCP-Server? Can MCP-Server handle multiple roles simultaneously? Yes! MCP-Server is designed to manage multiple roles and their specific contexts effectively. What are the prerequisites for running MCP-Server? You need Node.js 18+ and an OpenAI API key to run the server. Is there a limit on the number of roles I can create? No, you can create as many custom roles as needed, but memory limits per role apply.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.