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Glama
Xuzan9396

YST KPI Daily Report Collector

by Xuzan9396
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

CapabilityDetails
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
collect_reportsA

采集指定月份范围的日报数据

⚠️ 重要：使用前请先确保已登录！

推荐流程：

  1. 先调用 check_login_status 检查登录状态

  2. 如果未登录，调用 browser_login 进行登录

  3. 登录成功后，再调用本工具采集数据

这样可以避免采集过程被登录流程阻塞。

Args: start_month: 起始月份，格式 YYYY-MM (例如: 2025-07) end_month: 结束月份，格式 YYYY-MM (例如: 2025-09) output_file: 输出文件路径（可选，默认为 ~/.yst_mcp/output/new.md 或项目目录下 data/new.md） auto_login: 未登录时是否自动启动浏览器登录（默认 False，不推荐设为 True）

Returns: 采集结果描述

browser_loginA

启动浏览器进行登录

✅ 推荐使用流程：

  1. 调用此工具启动浏览器

  2. 在浏览器中完成 Google 登录（约1分钟）

  3. 登录成功后，调用 collect_reports 采集数据

工作流程：

  1. 打开浏览器窗口

  2. 等待您完成 Google OAuth 登录

  3. 自动提取并保存 Cookie

  4. 保存浏览器会话

Args: use_persistent: 是否使用持久化浏览器上下文（推荐，默认 True） timeout: 登录超时时间（秒），默认 300 秒（5 分钟）

Returns: 登录结果

save_cookies_from_browserA

保存浏览器 Cookie（用于首次登录）

使用方法：

  1. 使用 chrome_devtools_mcp 登录 https://kpi.drojian.dev

  2. 登录成功后，从浏览器复制 Cookie 字符串

  3. 调用此工具保存 Cookie

Args: cookie_string: Cookie 字符串，格式如 "name1=value1; name2=value2" 或者完整的 curl 命令中的 -b 参数内容

Returns: 保存结果

check_login_statusA

检查当前登录状态（建议第一步调用）

✅ 推荐工作流程：

  1. 首先调用此工具检查登录状态

  2. 如果返回"未登录"，则调用 browser_login 进行登录

  3. 登录成功后，调用 collect_reports 采集数据

Returns: 登录状态信息： - "✓ 已登录，Cookie 有效" -> 可以直接采集数据 - "❌ Cookie 已过期" -> 需要调用 browser_login 重新登录 - "❌ 未找到保存的 Cookie" -> 需要调用 browser_login 首次登录

check_playwright_installationA

检查 Playwright 浏览器驱动安装状态

Returns: 安装状态信息

clear_saved_cookiesB

清除已保存的 Cookie

Returns: 清除结果

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: login management (browser_login, check_login_status, clear_saved_cookies, save_cookies_from_browser), installation check (check_playwright_installation), and data collection (collect_reports). No two tools overlap in functionality.

Naming Consistency5/5

All tools follow a consistent snake_case naming pattern with descriptive verbs (browser_login, check_login_status, check_playwright_installation, clear_saved_cookies, collect_reports, save_cookies_from_browser). The convention is uniform across all tools.

Tool Count5/5

With 6 tools, the server is well-scoped for its purpose of collecting KPI daily reports. Each tool adds necessary functionality without bloat. The number is within the ideal range (3-15) and feels neither too heavy nor too thin.

Completeness4/5

The tool surface covers the core workflow: login, status checking, cookie management, installation verification, and report collection. A minor gap is the lack of an explicit logout tool, but clear_saved_cookies can partially serve. Overall, the essential operations are present.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources