Model Context Protocol (MCP) server for accessing academic grades from Sakarya University SABIS system
Model Context Protocol (MCP) server for accessing academic grades from Sakarya University SABIS system. That is what the sabis mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
A Model Context Protocol (MCP) Server for accessing academic grades from the Sakarya University SABIS (Student Information System). This server enables AI assistants and applications to securely retrieve student academic information through automated web scraping.
The server publishes 1 tool. What each one is for:
Tools — The Tools tool exposed by this serverConfiguration is passed through the environment: USERNAME, PASSWORD. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Sabis's toolset — Tools — is a fair guide to whether it matches your workflow. It is maintained by hanifisenturk; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Sabis's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Tools | The Tools tool exposed by this server. |
{
"mcpServers": {
"sabis-mcp-server": {
"command": "node",
"args": [
"/path/to/sabis-mcp-server/build/index.js"
],
"env": {
"USERNAME": "your_student_number",
"PASSWORD": "your_password"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| USERNAME | Configuration value read at startup. | Optional |
| PASSWORD | Configuration value read at startup. | Optional |
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.