OpenStudy
Self-hostable study dashboard with a built-in MCP server, so that your Claude/ChatGPT subscription becomes x10 more effective for your semester
What is OpenStudy?
OpenStudy is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to self-hostable study dashboard with a built-in mcp server, so that your claude/chatgpt subscription becomes x10 more effective for your semester
Self-hostable study dashboard with a built-in MCP server, so that your Claude/ChatGPT subscription becomes x10 more effective for your semester
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Self-hostable study dashboard with a built-in MCP server, so
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx openstudyConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use OpenStudy
OpenStudy is a self-hostable academic study dashboard with a built-in MCP server that exposes 44 tools to Claude and other AI assistants, enabling them to manage courses, lectures, study topics, assignments, and schedules directly from a chat interface. By connecting your AI subscription to OpenStudy, you can ask Claude to document lecture notes, track what you are falling behind on, pull course PDFs for vision-based analysis, and plan study sessions — all grounded in your actual semester data rather than generic advice.
Prerequisites
- Docker and Docker Compose (for the recommended containerized deployment)
- Node.js and pnpm (for the React frontend build)
- Python 3.11+ and uv (for backend tooling and password hashing)
- A domain or localhost access for serving the dashboard
- An MCP-compatible client such as Claude Desktop or Claude.ai remote MCP support
Clone the repository and install frontend dependencies
Clone OpenStudy from GitHub, then install the React frontend dependencies using pnpm from the web subdirectory.
git clone https://github.com/openstudy-dev/OpenStudy
cd OpenStudy
cd web && pnpm install && cd ..Generate secrets and configure environment files
Copy the example env file and populate the required secrets. Generate the password hash, session secret, and encryption key using the provided commands.
cp .env.example .env
# Generate password hash for login
uv run python -m app.tools.hashpw
# Generate session secret
python3 -c 'import secrets; print(secrets.token_urlsafe(48))'
# Generate encryption key
python3 -c 'from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())'Populate the .env file with your values
Edit the .env file and set OPERATOR_EMAIL (your login), APP_PASSWORD_HASH (from step 2), SESSION_SECRET, and SECRETS_ENCRYPTION_KEY. Also configure .env.docker with Postgres credentials.
# .env example values
[email protected]
APP_PASSWORD_HASH=<hash from uv run python -m app.tools.hashpw>
SESSION_SECRET=<token from secrets.token_urlsafe>
SECRETS_ENCRYPTION_KEY=<key from Fernet.generate_key>Launch the full stack with deploy.sh
Run the deploy script which handles building all containers, running database migrations, starting the services, and performing health verification. The dashboard will be available at http://127.0.0.1:8080.
./deploy.shAdd OpenStudy to your MCP client configuration
Configure your MCP client to connect to the running OpenStudy MCP endpoint. The server exposes 44 tools for course, lecture, topic, deliverable, and schedule management.
{
"mcpServers": {
"openstudy": {
"command": "npx",
"args": ["-y", "openstudy"],
"env": {
"OPENSTUDY_URL": "http://127.0.0.1:8080"
}
}
}
}OpenStudy Examples
Client configuration
Claude Desktop config pointing to a locally running OpenStudy instance.
{
"mcpServers": {
"openstudy": {
"url": "http://127.0.0.1:8080/mcp"
}
}
}Prompts to try
Example study workflow prompts that leverage OpenStudy's 44 MCP tools.
- "We just finished lecture 4 of Algorithms, covered dynamic programming and memoization"
- "I'm in Biology lecture 3 on cell division — expand on what mitosis and meiosis have in common"
- "Walk me through the pumping lemma from my ASB lecture 4 slides and ask me a check question halfway through"
- "Am I falling behind in any of my courses?"
- "What assignments are due this week?"Troubleshooting OpenStudy
deploy.sh fails during database migration
Ensure Docker and Docker Compose are running and the .env.docker file has valid Postgres credentials. Check Docker logs with 'docker compose logs db' to identify connection issues.
APP_PASSWORD_HASH generation command fails
Make sure uv is installed ('pip install uv') and you are running the command from the root of the OpenStudy repository where pyproject.toml is located.
Claude cannot connect to the MCP server after setup
Verify the OpenStudy stack is healthy by visiting http://127.0.0.1:8080 in a browser. If using Claude.ai remote MCP, the server must be publicly accessible — configure a public domain or use a tunnel like ngrok.
Frequently Asked Questions about OpenStudy
What is OpenStudy?
OpenStudy is a Model Context Protocol (MCP) server that self-hostable study dashboard with a built-in mcp server, so that your claude/chatgpt subscription becomes x10 more effective for your semester It connects AI assistants to external tools and data sources through a standardized interface.
How do I install OpenStudy?
Follow the installation instructions on the OpenStudy GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with OpenStudy?
OpenStudy works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is OpenStudy free to use?
Yes, OpenStudy is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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