fitwiki-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@fitwiki-mcpScrape course BI-OOP to Markdown"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Fit-Wiki Scraper & MCP Server
Python tool for extracting course materials, exam variants, and notes from Fit-Wiki. Includes an MCP server for integration with LLM clients (Claude, AGY, OpenCode).
Requirements
Python 3.12+
Liberation Sans and Liberation Mono fonts (for correct Czech diacritics in PDFs)
Related MCP server: Deepwiki MCP Server
Setup
python3 -m venv venv
./venv/bin/pip install -r requirements.txtConfiguration
Copy .env.example to .env and fill in your cookies:
cp .env.example .envAlternatively, pass FITWIKI_COOKIES as an environment variable in the MCP client config.
CLI Usage
Scrape a course to Markdown
./venv/bin/python scraper.py [course_code]Convert Markdown to PDF
./venv/bin/python convert_to_pdf.pyCompiles all files in markdown_output/ to pdfs/.
Pipeline (single page)
./venv/bin/python index_page.py bi-osy # download index
./venv/bin/python scraper.py # scrape to Markdown
./venv/bin/python convert_to_pdf.py # compile PDFsMCP Server
The MCP server exposes Fit-Wiki tools to LLM clients. It runs via stdio or SSE.
Client Configuration
Add the following to your client's MCP config file. Cookies are loaded from the .env file (see .env.example).
{
"mcpServers": {
"fitwiki": {
"command": "/path/to/fitwiki/venv/bin/python",
"args": ["/path/to/fitwiki/mcp_server.py"]
}
}
}Config File Locations
Client | Path |
Claude Desktop |
|
AGY (CLI) |
|
AGY (IDE / 2.0) |
|
OpenCode |
|
Restart the client after saving. For AGY, verify with /mcp in chat.
Transports
stdio (default) – used by the config above. The client spawns the server as a subprocess.
SSE – for Docker or remote setups. Set
MCP_TRANSPORT=sseand point the client tohttp://host:8000/sse.
Docker
Build & Run
docker compose up -dThe container exposes the MCP server on port 8000 via SSE. Mounted volumes persist markdown_output/ and pdfs/ on the host.
GitHub Container Registry
The Docker image is built automatically on push (see .github/workflows/docker-build.yml) and published to ghcr.io/<your-username>/fitwiki-mcp. Tags: latest, master, short SHA.
Exposed MCP Tools
list_courses– List all courses on the FIT platform.list_course_sections– List sections (e.g.zkouska,test1) for a course.list_section_pages– List pages within specific sections.download_page– Scrape a page to Markdown and compile to PDF in one step.compile_pdf– Compile a Markdown file to PDF.compile_category_pdfs– Compile all Markdown files in a category to PDFs.scrape_index– Parse a course index and list discovered links.scrape_page– Scrape a single page to Markdown.scrape_course– Download all pages in selected categories for a course.
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