manim-mcp-rag
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., "@manim-mcp-ragcreate an animation of a rotating square"
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.
# Manim MCP — DeepSeek Only
Altin Kural: Sadece DeepSeek. Baska hicbir LLM provider YOK. OpenAI SDK → DeepSeek endpoint. Google Gemini import edilmez.
Hizli Baslangic
# 1. Kur
pip install -r requirements.txt
# 2. .env dosyasini duzenle (DEEPSEEK_API_KEY zorunlu)
# .env.example dosyasini .env olarak kopyala, API keyini yaz
# 3. Sunucuyu baslat (1. terminal)
python server.py
# 4. CLI'yi baslat (2. terminal)
python cli.py
# 5. Test et
>>> Bir daire ciz ve kaydir
>>> /doc How to animate a square transforming into a circle
>>> /healthRelated MCP server: Manim MCP Server
Mimarisi
cli.py ──HTTP──▶ server.py ──OpenAI SDK──▶ api.deepseek.com
│
├── deepseek_client.py (DeepSeek API wrapper)
├── manim_tools.py (MCP tool definitions)
├── rag.py (TF-IDF retrieval)
└── config.py (.env based config)Dosyalar
Dosya | Gorevi |
| Flask MCP sunucusu (JSON-RPC) |
| Terminal arayuzu |
| OpenAI SDK ile DeepSeek API |
| MCP tool tanimlari (DeepSeek/OpenAI format) |
| TF-IDF RAG (DeepSeek embedding cikinca degisecek) |
| .env tabanli yapilandirma |
| Sablon .env dosyasi |
| VS Code MCP yapilandirmasi |
Neden DeepSeek?
Orijinal paulnegz/manim-mcp reposu google.generativeai kullanir. Bu su demek:
Kod Gemini SDK import eder ama
DEEPSEEK_API_KEYayarlanmistirGoogle SDK
GOOGLE_API_KEYarar, DeepSeek keyini yok sayarYa crash olur ya da sessizce Geminiye gider
Bizim cozumumuz: from openai import OpenAI + base_url="https://api.deepseek.com"
DeepSeek, OpenAI API uyumlu oldugu icin baska hicbir SDKya gerek yok.
MCP Olarak Kullan
mcp.template.json dosyasini VS Code MCP ayarlarina kopyala, DEEPSEEK_API_KEYi yaz.
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