MCP Gateway
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., "@MCP GatewayНапиши клиенту ответ по заказу, замени номер телефона на [phone]."
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.
MCP Gateway
MCP Gateway — production-ready Model Context Protocol gateway for Russian LLMs: a unified interface to GigaChat and YandexGPT with automatic fallback, personal data anonymization per 152-FZ, and 86% savings on tokens.
Connect any MCP client (Hermes Agent, Claude Code, Cursor, n8n) — and get access to Russian models through a single endpoint. Stack: FastAPI, MCP SDK, GigaChat API, YandexGPT API.
✨ Features
Feature | Description |
🔀 Multi-provider | GigaChat (primary) + YandexGPT (fallback) + Ollama (local) |
🛡️ 152-FZ | Built-in detection and anonymization of personal data: phone, INN, passport, SNILS, address |
💰 86% savings | GigaChat ~200₽/M tokens vs YandexGPT ~1,455₽/M tokens |
🔄 Auto-fallback | Seamless provider switching on errors and rate-limit (429) |
🐳 Docker Ready | Full Docker Compose for one-command deployment |
💚 Health Checks | Monitoring endpoints and systemd service with auto-start |
Related MCP server: MCP LLM Generator v2
🏗️ Architecture
flowchart TB
classDef client fill:#eef2f7,stroke:#4a5568,stroke-width:1.5px
classDef gateway fill:#edf2f7,stroke:#4a5568,stroke-width:1.5px
classDef llm fill:#e2e8f0,stroke:#4a5568,stroke-width:1.5px
subgraph Client["👤 Клиент"]
Agent["🤖 MCP-клиент<br>Hermes Agent / Claude Code / n8n"]
end
class Client client
subgraph Gateway["⚙️ MCP Gateway (FastAPI, port 8000)"]
MCP["MCP Server<br>5 tools"]
Anon["🛡️ Анонимизатор ПД<br>152-ФЗ"]
Fallback["🔀 Fallback-оркестратор"]
MCP --> Anon --> Fallback
end
class Gateway gateway
subgraph Providers["🧠 LLM-провайдеры"]
Giga["GigaChat<br>~200₽/M токенов"]
Yandex["YandexGPT<br>~1 455₽/M токенов"]
Ollama["Ollama<br>локально, 0₽"]
end
class Providers llm
Agent --> MCP
Fallback -->|"основной"| Giga
Fallback -.->|"fallback"| Yandex
Fallback -.->|"fallback"| Ollama🚀 Quick Start
# Клонирование
git clone https://github.com/kvochkin-dev/mcp-gateway.git
cd mcp-gateway
# Настройка окружения
cp .env.example .env
# Впишите свои API-ключи в .env
# Запуск через Docker
docker-compose up -d
# Или напрямую
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
python app.py📋 API Endpoints
Method | Path | Description |
|
| Service and provider status |
|
| Swagger UI |
|
| MCP interface (tools) |
Health Check
curl http://localhost:8000/health{
"status": "healthy",
"gigachat": "connected",
"yandexgpt": "connected",
"anonymizer": "ready"
}🔐 Configuration
All secrets are stored in .env (file excluded from git):
GIGACHAT_CLIENT_ID=***
GIGACHAT_CLIENT_SECRET=***
YANDEXGPT_API_KEY=***
YANDEXGPT_FOLDER_ID=***🧪 Tests
pytest tests/ -v13/13 tests passed — provider clients, fallback logic, personal data anonymizer.
📁 Project Structure
mcp-gateway/
├── app.py # FastAPI + MCP сервер
├── src/
│ ├── clients/ # GigaChat, YandexGPT клиенты
│ └── anonymizer/ # 152-ФЗ анонимизация ПД
├── scripts/
│ └── mcp-monitor.sh # Мониторинг сервисов
├── docs/ # Отчёты и документация
├── tests/ # 13 тестов
└── docker-compose.yml # Docker-развёртывание📄 License
MIT — use freely.
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