Syncnox Server
FreeNot checkedEnables AI agents to manage routes via Syncnox backend, with tools to add stops, optimize routes, get ETAs, and retrieve route details.
About
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
Installing Syncnox Server
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/mav92121/syncnox-mcpFAQ
Is Syncnox Server MCP free?
Yes, Syncnox Server MCP is free — one-click install via Unyly at no cost.
Does Syncnox Server need an API key?
No, Syncnox Server runs without API keys or environment variables.
Is Syncnox Server hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install Syncnox Server in Claude Desktop, Claude Code or Cursor?
Open Syncnox Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
by 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
by xuzexin-hzCompare Syncnox Server with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All ai MCPs
