ai.onelore/lore — Model Context Protocol (MCP) Server
The ai.onelore/lore MCP server provides shared project context for AI agents and teams. It centers on docs, tasks, and messages intended to stay current, enabling agents to work with up-to-date project information.
🛠️ Key Features
- Shared project context
- Supports project docs
- Supports tasks
- Supports messages
- Designed to keep context current
🚀 Use Cases
- Supplying AI agents with shared, current documentation context
- Coordinating team work using shared tasks
- Keeping inter-agent or team messages synchronized with the latest project state
⚡ Developer Benefits
- Clear separation of context types: docs, tasks, messages
- Consistent shared context for teams and agents
⚠️ Limitations
- No additional tool inventory, topics, or operational details are provided in the available server data.