Gradescope MCP Server by Yuanpeng-Li
36 score
An MCP server that enables AI assistants to interact with Gradescope for course management, grading workflows, and regrade reviews. It provides instructors and TAs with tools for assignment management, individual or batch grading, and rubric manipulation.
Ranked #908 out of 1625 indexed tools.Actively maintained with commits in the last week.
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Installs 0
Freshness today
Issue Health 50%
Stars 3
Platform Breadth 1 platform
Contributors 1
Description Detailed
How to Improve
Contributors medium impact
Stars low impact
Platforms medium impact
Supported Platforms
From the README
# Gradescope MCP Server An [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) server for [Gradescope](https://www.gradescope.com/) that exposes course management, grading, regrade review, statistics, and AI-assisted grading workflows to MCP clients. The server is designed for instructors and TAs who want to use AI agents with real Gradescope data while keeping write operations gated behind explicit confirmation. This repository also includes a reusable local skill at `skills/gradescope-assisted-grading/SKILL.md` for human-approved grading workflows. ## Current Status - 34 MCP tools - 3 MCP resources - 7 MCP prompts - 30 automated tests - Python 3.10+ - Package manager: `uv` ## What The Project Provides ### Read-oriented workflows - Course discovery and assignment listing - Assignment outline parsing for online and scanned-PDF assignments - Roster inspection with a custom HTML parser - Submission listing for multiple assignment types - Grading progress, rubric conteRead full README on GitHub →