Syncnox Server
БесплатноНе проверенEnables AI agents to manage routes via Syncnox backend, with tools to add stops, optimize routes, get ETAs, and retrieve route details.
Описание
Enables AI agents to manage routes via Syncnox backend, with tools to add stops, optimize routes, get ETAs, and retrieve route details.
README
An MCP server that gives AI agents (like Claude) direct access to the Syncnox route-management backend.
Transport
Streamable HTTP — the server exposes a single HTTP endpoint at /mcp.
This means you can deploy it in Docker, expose it over the network, and connect multiple remote clients.
Authentication
Every request must include the header:
X-API-Key: <your MCP_API_KEY>
The server itself also authenticates to your Syncnox FastAPI backend using a Bearer token (API_KEY).
Available Tools
| Tool | What it does |
|---|---|
add_stop |
Add a new stop to an existing route |
optimize_route |
Re-order stops for fastest time or shortest distance |
get_eta |
Get ETA for the whole route or a single stop |
get_route |
Fetch full route details including all stops |
get_job_info |
Fetch the details of a specific job by its ID |
add_job |
Add a single job (address geocoded automatically) |
add_jobs |
Add multiple jobs from a JSON list of dictionaries (addresses geocoded automatically) |
import_jobs_from_text |
Import jobs from CSV content passed directly as text |
import_jobs_from_file |
Import a list of jobs from a local CSV/Excel file path |
Project Layout
syncnox-mcp/
├── server.py ← entry point, Streamable HTTP app
├── middleware.py ← API-key auth middleware (production ASGI wrapper)
├── config.py ← settings loaded from .env
├── api_client.py ← shared httpx client for Syncnox backend
├── tools/
│ ├── __init__.py ← central tools registry exposing register_all()
│ ├── routes.py ← route-related tools (get_route, optimize_route, get_eta)
│ ├── stops.py ← stop-related tools (add_stop)
│ └── jobs.py ← job-related tools (get_job_info)
├── requirements.txt
└── .env ← secrets (not committed to git)
Setup
# 1. Create & activate virtual env
python -m venv .venv
source .venv/bin/activate
# 2. Install dependencies
pip install -r requirements.txt
# 3. Configure
cp .env .env.local # edit values
# Set: API_BASE_URL, API_KEY, MCP_API_KEY, PORT
# 4. Run
python server.py
Server starts at http://0.0.0.0:8100.
Connecting a Client
In Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"syncnox": {
"type": "http",
"url": "http://localhost:8100/mcp",
"headers": {
"X-API-Key": "changeme-mcp-secret"
}
}
}
}
Health Check
curl http://localhost:8100/health
# → OK
Deployment on EC2
cd syncnox-mcp
git pull
sudo systemctl restart syncnox-mcp.service
Установка Syncnox Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/mav92121/syncnox-mcpFAQ
Syncnox Server MCP бесплатный?
Да, Syncnox Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Syncnox Server?
Нет, Syncnox Server работает без API-ключей и переменных окружения.
Syncnox Server — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Syncnox Server в Claude Desktop, Claude Code или Cursor?
Открой Syncnox Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzCompare Syncnox Server with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
