mcp-classroom 0.1.1

A stateless MCP server for Google Classroom — read courses, grade submissions, and auto-submit assignments.

🎓 MCP Classroom

A stateless, production-ready Model Context Protocol server for Google Classroom.
Connect any AI assistant directly to your courses — read rosters and assignments, auto-solve and submit student work, grade submissions, and post polished announcements.

---

✨ What It Does

📚 Read	Courses, student & teacher rosters, assignments, submissions, announcements
📝 Create	Assignments and announcements — with optional AI content polishing
🤖 Solve & Submit	Agents can read, solve, and autonomously turn in assignments
🏆 Grade	Set draft and assigned grades on student submissions
💬 Prompts	Built-in MCP prompts for solving, grading, and progress analysis
📂 Resources	Direct context access without tool calls
🔐 Zero Setup Auth	Pre-configured desktop OAuth — no developer console needed

---

📦 Installation

pip install mcp-classroom

Or run directly without installing (recommended for MCP clients):

uvx mcp-classroom

Requires Python 3.10+

---

🔐 Authentication

On first run, a browser window opens asking you to sign in with Google and grant Classroom permissions. Credentials are cached in token.json — you won't be prompted again until the token expires.

No developer console setup required. Pre-configured desktop OAuth ships with the package.

---

⚙️ Optional: LLM Integration

Some tools optionally use an LLM to polish content (e.g. rewriting assignment descriptions, adjusting announcement tone). Any OpenAI-compatible API is supported.

Set these environment variables to enable it:

Variable	Description	Example
LLM_API_KEY	Your LLM provider API key	sk-...
LLM_BASE_URL	Base URL of the OpenAI-compatible endpoint	https://api.openai.com/v1
LLM_MODEL_ID	Model identifier	gpt-4o

If these are not set the server runs in standard mode — all tools still work, content polishing is just skipped.

---

🖥️ Client Setup

Claude Desktop

Edit your claude_desktop_config.json:

• Windows: %APPDATA%\Claude\claude_desktop_config.json
• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "google-classroom": {
      "command": "uvx",
      "args": ["mcp-classroom"],
      "env": {
        "LLM_API_KEY": "YOUR_API_KEY",
        "LLM_BASE_URL": "https://api.openai.com/v1",
        "LLM_MODEL_ID": "gpt-4o"
      }
    }
  }
}

Cursor

Add to ~/.cursor/mcp.json (or via Cursor Settings → Features → MCP → + Add New MCP Server):

{
  "mcpServers": {
    "google-classroom": {
      "command": "uvx",
      "args": ["mcp-classroom"],
      "env": {
        "LLM_API_KEY": "YOUR_API_KEY",
        "LLM_BASE_URL": "https://api.openai.com/v1",
        "LLM_MODEL_ID": "gpt-4o"
      }
    }
  }
}

Claude Code (CLI)

Without LLM:

claude mcp add uvx -- mcp-classroom

With LLM integration:

claude mcp add uvx \
  --env LLM_API_KEY=YOUR_API_KEY \
  --env LLM_BASE_URL=https://api.openai.com/v1 \
  --env LLM_MODEL_ID=gpt-4o \
  -- mcp-classroom

VS Code — GitHub Copilot

Add to .vscode/mcp.json in your workspace (or user settings):

{
  "servers": {
    "google-classroom": {
      "type": "stdio",
      "command": "uvx",
      "args": ["mcp-classroom"],
      "env": {
        "LLM_API_KEY": "YOUR_API_KEY",
        "LLM_BASE_URL": "https://api.openai.com/v1",
        "LLM_MODEL_ID": "gpt-4o"
      }
    }
  }
}

VS Code — Continue Extension

Add to ~/.continue/config.json:

{
  "mcpServers": [
    {
      "name": "google-classroom",
      "command": "uvx",
      "args": ["mcp-classroom"],
      "env": {
        "LLM_API_KEY": "YOUR_API_KEY",
        "LLM_BASE_URL": "https://api.openai.com/v1",
        "LLM_MODEL_ID": "gpt-4o"
      }
    }
  ]
}

Windsurf

Edit ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "google-classroom": {
      "command": "uvx",
      "args": ["mcp-classroom"],
      "env": {
        "LLM_API_KEY": "YOUR_API_KEY",
        "LLM_BASE_URL": "https://api.openai.com/v1",
        "LLM_MODEL_ID": "gpt-4o"
      }
    }
  }
}

Antigravity

Go to Settings → MCP Servers → Add Server and paste:

{
  "mcpServers": {
    "google-classroom": {
      "command": "uvx",
      "args": ["mcp-classroom"],
      "env": {
        "LLM_API_KEY": "YOUR_API_KEY",
        "LLM_BASE_URL": "https://api.openai.com/v1",
        "LLM_MODEL_ID": "gpt-4o"
      }
    }
  }
}

---

🛠️ Tools

Courses

list_google_courses

Lists all active Google Classroom courses for the authenticated user.

Returns: Course ID, name, section, description, and link.
Arguments: None
Constraints: None.

---

Roster

list_google_students

Lists all students enrolled in a course.

Returns: User ID, full name, email address.

Argument	Type	Description
course_id	string	ID of the course

list_google_teachers

Lists all teachers and co-teachers of a course.

Returns: User ID, full name, email address.

Argument	Type	Description
course_id	string	ID of the course

---

Assignments

list_google_coursework

Lists every assignment in a course with full details and the authenticated user's submission state.

Returns: ID, title, description, max points, due date, link, submission state (NEW / CREATED / TURNED_IN / RETURNED), submission ID, and a pre-built solving_prompt ready to feed into any LLM.

Argument	Type	Description
course_id	string	ID of the course

list_upcoming_assignments

Same as above but filtered to pending-only work, sorted by closest due date first. Skips anything already TURNED_IN or RETURNED.

Argument	Type	Description
course_id	string	ID of the course

create_google_coursework

Creates and publishes a new assignment in a course.

Returns: Success status, new assignment ID, direct link.
LLM Enhancement: If LLM_API_KEY is set, the description is automatically restructured with headings, bullet points, a grading rubric, and a due date reminder.

Argument	Type	Required	Description
course_id	string	✅	ID of the course
title	string	✅	Assignment title
description	string	❌	Assignment instructions
max_points	integer	❌	Maximum grade (default: 100)
due_date	string	❌	YYYY-MM-DD
due_time	string	❌	HH:MM (24-hour)

⛔ Teacher accounts only. Students receive 403 Forbidden.
⚠️ Only assignments created through this tool can be graded via grade_google_submission.

---

Submissions

list_google_submissions

Lists every student's submission record for an assignment.

Returns: Submission ID, user ID, state, draft grade, assigned grade, submitted text (short answers), and link.

Argument	Type	Description
course_id	string	ID of the course
coursework_id	string	ID of the assignment

Students see only their own submission. Teachers see all.

submit_student_assignment

Attaches an answer and turns in an assignment on behalf of the authenticated student.

Supports two submission types:

• text_answer — for SHORT_ANSWER_QUESTION coursework
• attachment_url — for ASSIGNMENT coursework (GitHub link, Google Doc, etc.)

The tool automatically calls turnIn after attaching the answer.

Argument	Type	Required	Description
course_id	string	✅	ID of the course
coursework_id	string	✅	ID of the assignment
text_answer	string	❌	Text answer (SHORT_ANSWER_QUESTION only)
attachment_url	string	❌	URL to attach (ASSIGNMENT type only)

⛔ Student accounts only. Teacher accounts have no submission record.
⛔ Only works on assignments created by this server. Assignments made in the Classroom UI return 403 @ProjectPermissionDenied — this is a permanent Google API restriction.

grade_google_submission

Sets a draft and/or assigned grade on a student's submission.

Returns: Updated submission with confirmed grade values.

Argument	Type	Required	Description
course_id	string	✅	ID of the course
coursework_id	string	✅	ID of the assignment
submission_id	string	✅	ID of the student's submission
draft_grade	float	✅	Grade visible only to the teacher
assigned_grade	float	❌	Grade returned to the student

⛔ Teacher accounts only.
⛔ Only works on assignments created by this server. The Google Classroom API permanently restricts patch to the same Developer Console project that created the coursework — no scope or permission can override this.

---

Announcements

list_google_announcements

Lists all announcements from the course stream.

Returns: ID, full text, creation timestamp, link.

Argument	Type	Description
course_id	string	ID of the course

create_google_announcement

Posts a new announcement to the course stream.

Returns: Success status, announcement ID, link.
LLM Enhancement: If LLM_API_KEY is set, the text is rewritten in the requested tone before posting.

Argument	Type	Required	Description
course_id	string	✅	ID of the course
text	string	✅	Announcement content
tone	string	❌	e.g. professional, friendly, urgent

⛔ Teacher accounts only.

---

📂 Resources

Query structured Classroom data directly as context — no tool call needed.

URI	Description
googleclassroom://courses	All active courses
googleclassroom://course/{course_id}/coursework	All assignments in a course
googleclassroom://course/{course_id}/announcements	All announcements in a course
googleclassroom://course/{course_id}/roster	Students and teachers in a course
googleclassroom://course/{course_id}/upcoming	Pending assignments sorted by due date

---

💬 Prompts

Built-in MCP Prompts that guide an AI through complex multi-step Classroom workflows.

solve_assignment_prompt
Prepares an AI to write a complete solution to an assignment. Includes title, max points, due date, instructions, and output format guidance. Every assignment returned by list_google_coursework already includes a pre-built version of this prompt in the solving_prompt field.

grade_submission_prompt
Guides an AI through evaluating submitted work against the assignment rubric. Pass alongside submission data from list_google_submissions to get a suggested grade and feedback before calling grade_google_submission.

analyze_student_progress_prompt
Helps an AI review a student's grades across all assignments and produce a personalized progress report or study plan.

---

🔒 Constraints at a Glance

Tool	Requires Teacher	Requires Student	Created by This Server
list_google_courses
list_google_students
list_google_teachers
list_google_coursework
list_upcoming_assignments
list_google_submissions
list_google_announcements
create_google_coursework	✅
create_google_announcement	✅
submit_student_assignment		✅	✅ Required
grade_google_submission	✅		✅ Required

Why "Created by This Server"?
Google Classroom enforces that turnIn, modifyAttachments, and grade patch can only be called by the same Developer Console project that created the assignment. This is a hard platform rule — it cannot be bypassed with any scope or permission.

---

🗂️ OAuth Scopes

Scope	Purpose
classroom.courses.readonly	Read course list
classroom.coursework.students	Read/write assignments and grade submissions (teacher)
classroom.coursework.me	Read/write own submissions, turn in work (student)
classroom.rosters.readonly	Read student and teacher rosters
classroom.announcements	Read and post announcements
classroom.profile.emails	Read user email addresses

---

📄 License

MIT © Muhammad Zain