oshvartz/ContextualAgentRulesHubDotnet
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AgentRulesHub is an MCP server designed to manage and provide contextual rules for AI agents, allowing them to dynamically retrieve rules based on various criteria.
AgentRulesHub is a Model Context Protocol (MCP) server that facilitates the management and retrieval of contextual rules for AI agents. It addresses the challenges of maintaining a centralized rule set and optimizing context space by providing a structured approach to rule organization and access. By allowing agents to retrieve only the rules relevant to their current task, AgentRulesHub minimizes context length and enhances efficiency. The server supports dynamic rule retrieval based on programming language or specific rule identifiers, and rules are stored in YAML files. This setup ensures that AI agents can operate with a more focused and efficient set of guidelines, improving their performance and adherence to best practices.
Features
- Dynamic Rule Retrieval: Access rules based on language or ID.
- YAML-based Rule Storage: Rules are defined in YAML files.
- Configurable Rule Sources: Specify locations for rule files via configuration.
- MCP Integration: Exposes functionality as tools consumable by MCP clients.
Tools
GetRuleContentById
Retrieves the content of a specific rule using its ID.
GetAllRulesMetadata
Retrieves metadata for all available rules.