About
An MCP server that monitors and reports on weekly Google Sheet submissions, providing missing report alerts, individual status checks, team statistics, and member listings.
Capabilities
Weekly Report Checker MCP Server
The Weekly Report Checker MCP server is designed to automate the oversight of weekly status reports within a team that uses Google Sheets as its central record. In many organizations, ensuring every member submits their weekly update on time is a repetitive manual task that can lead to missed deadlines and incomplete data. This MCP server eliminates that friction by providing an AI‑ready interface that can query, analyze, and report on the submission status of all team members directly from the Google Sheet that houses the reports.
At its core, the server exposes a set of intuitive resources and tools. The resource instantly returns the list of employees who have yet to submit their reports for the current week, while aggregates metrics such as completion rates, average submission times, and historical trends. For more granular inspection, gives a detailed snapshot of an individual’s submission history and any pending actions. These resources are mirrored by corresponding tools (, , ) that AI assistants can invoke to trigger the same logic programmatically, making it straightforward to embed report checks into larger conversational flows.
Developers can integrate this MCP server into AI workflows by simply referencing the resources or calling the tools within a prompt. For example, a team lead might ask an AI assistant, “Who still needs to submit their weekly report?” and the assistant will fetch data from and present a concise list. In more complex scenarios, an AI could schedule reminders or trigger Slack messages based on the statistics returned by . Because the server operates over MCP, any Claude or similar AI that supports the protocol can consume its capabilities without custom adapters.
Key advantages include real‑time data access to a live Google Sheet, eliminating the need for manual exports or spreadsheets. The server’s lightweight Python implementation ensures it can run locally on a developer’s machine or be deployed in a CI/CD pipeline. Additionally, the use of standard resource URIs and descriptive tool names makes it easy to discover and document its functionality for new team members.
In practice, this MCP server is invaluable for product teams, scrum masters, and operations managers who rely on weekly updates to track progress. By integrating it with AI assistants, teams can receive instant answers about report compliance, reduce administrative overhead, and maintain a clear audit trail—all while keeping the underlying data in its familiar Google Sheet format.
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