# ljyoungs/agent-learning-butler

Source: https://glimind.com/server/github%2Fljyoungs%2Fagent-learning-butler
Registry id: `github/ljyoungs/agent-learning-butler`
Status: unknown

## Tools (24)

- `capabilities`: Get the capabilities of the ALB MCP server.
- `context_get`: Get the current learning context including active learning path, due reviews, and weak points.
- `daily_plan_complete`: Mark a daily plan item as complete.
- `daily_plan_generate`: Generate a new daily plan.
- `daily_plan_show`: Show the current daily plan.
- `daily_plan_skip`: Skip a daily plan item.
- `intelligence_search`: Search external sources for information.
- `knowledge_get`: Get a specific knowledge entry.
- `knowledge_search`: Search the knowledge base.
- `learning_next_action`: Get the next recommended learning action based on current state.
- `learning_stats`: Get learning statistics.
- `memory_list`: List memory entries.
- `memory_write`: Write a structured memory entry.
- `project_evidence_pack`: Generate an evidence pack for a project.
- `project_get`: Get details of a specific project.
- `project_list`: List projects.
- `review_due`: Get due review cards for the current learning path.
- `review_rate`: Rate a review card and update FSRS scheduling.
- `scenario_activate`: Activate a learning scenario.
- `scenario_get`: Get details of a specific learning scenario.
- `scenario_list`: List available learning scenarios.
- `task_answer`: Submit an answer for a task.
- `task_complete`: Mark a task as complete.
- `task_start`: Start a learning task.

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.