ai-dev-analytics
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
| prompts | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| aida_task_startA | 当你开始一个新任务或功能开发时调用。在接到用户需求、开始编码前调用。每个任务的完整数据采集流程：1) aida_task_start 2) 编码 3) aida_log_files 4) aida_log_review 5) aida_task_done。多个子任务必须每个都单独 start/done。 |
| aida_task_doneA | 当你完成一个任务后调用。标记任务为已完成，自动计算耗时。 |
| aida_log_bugB | 当你在开发或测试中发现 bug 时调用。记录 bug 信息。 |
| aida_bug_fixB | 当你修复了一个 bug 后调用。标记 bug 为已修复。 |
| aida_log_reviewB | 当你完成一轮代码审查后调用。记录审查结果。 |
| aida_log_deviationB | 当 AI 产出与用户预期不符时调用。记录偏差用于后续分析。当 rootCause 为 rule-missing 时，修复后如果属于项目级技术规范（非业务逻辑），应询问用户是否沉淀为规则。 |
| aida_log_filesA | 记录文件变更。无需传参，自动扫描 git diff 获取变更文件列表和行数。在完成一轮代码修改后调用。 |
| aida_highlightB | 记录值得关注的亮点，如性能提升、架构优化等。 |
| aida_statusA | 查看当前开发运行的状态：任务列表、bug 数量、进度等。在需要了解当前进度时调用。 |
| aida_log_ruleA | 沉淀项目规则。当偏差的 rootCause 为 rule-missing 且修复方案属于项目级技术规范（非业务逻辑）时，询问用户同意后调用此工具沉淀规则。仅限：公共组件使用规范、API 调用规范、参数传递规范、代码风格/架构规范。禁止沉淀业务逻辑。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| aida-guide | AIDA 数据采集使用指南 |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 10 tools
Each tool has a clearly distinct purpose with no overlap: bug fixing, highlighting achievements, logging bugs/deviations/files/reviews/rules, checking status, and managing tasks. The descriptions explicitly define when to use each tool, eliminating any ambiguity.
All tools follow a consistent 'aida_' prefix with descriptive snake_case names (e.g., aida_log_bug, aida_task_start). The naming pattern is uniform throughout, making it easy to predict and understand tool functions.
With 10 tools, the server is well-scoped for AI development analytics, covering key aspects like bug tracking, task management, file logging, and rule documentation. Each tool serves a specific, necessary function without bloat.
The tool set provides complete coverage for the AI development lifecycle, including task initiation/completion, bug logging/fixing, file change tracking, code review logging, deviation analysis, rule documentation, status checks, and highlighting achievements. No obvious gaps exist for this domain.