WEATHGARDS
Exposes MCP tools that enable remote LLMs to query local Docker containers, OS processes, and system services in real time.
README
WEATHGARDS
Local cross-OS MCP gateway for Docker containers, processes and services.
WEATHGARDS scans your machine for running Docker containers, OS processes, and system services, then exposes pre-written MCP tools over a secure local network endpoint so a remote LLM (Claude, GPT-4, etc.) can interrogate your environment in real time — without generating any code at runtime.
Prerequisites
Docker (optional but recommended)
WEATHGARDS works without Docker; container scanning is simply disabled when the daemon is unreachable.
| OS | Install |
|---|---|
| Linux | Install the Docker Engine daemon: sudo apt install docker.io (Debian/Ubuntu) or follow docs.docker.com. Add your user to the docker group: sudo usermod -aG docker $USER then log out and back in. |
| macOS | Install Docker Desktop for Mac. Start the app and wait for the whale icon in the menu bar. |
| Windows | Install Docker Desktop for Windows (requires WSL 2 or Hyper-V). Start Docker Desktop before running WEATHGARDS. |
Python 3.12+
# Linux / macOS
python3 --version # must be ≥ 3.12
# Windows (PowerShell)
python --version
Install uv — the package manager used throughout:
# Linux / macOS
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Installation
# 1. Clone
git clone https://github.com/your-org/weathgards.git
cd weathgards
# 2. Install Python dependencies
uv sync
# 3. Configure environment
cp .env.example .env # Linux / macOS
copy .env.example .env # Windows (cmd)
# Edit .env — at minimum set WEATHGARDS_MCP_TOKEN
# 4. Build the frontend (one-time, requires Node 18+)
cd frontend && npm install && npm run build && cd ..
# 5. Start WEATHGARDS
uv run weathgards
Open http://127.0.0.1:8765 in your browser.
Per-OS Quick Reference
Linux
uv sync
cp .env.example .env
# nano .env → set WEATHGARDS_MCP_TOKEN
uv run weathgards
Docker socket at /var/run/docker.sock. If missing, container scanning is skipped automatically.
macOS
uv sync
cp .env.example .env
# open -e .env → set WEATHGARDS_MCP_TOKEN
uv run weathgards
Docker Desktop must be running before WEATHGARDS starts. The socket is detected automatically under both /var/run/docker.sock and the Docker Desktop path.
Windows (PowerShell)
uv sync
Copy-Item .env.example .env
# notepad .env → set WEATHGARDS_MCP_TOKEN
uv run weathgards
Docker Desktop must be running. The named pipe \\.\pipe\docker_engine is checked automatically. No administrator privileges required.
Connect a Remote LLM
Once WEATHGARDS is running with network exposure enabled, your LLM client needs three pieces of information: the endpoint URL, the Bearer token, and the MCP client config snippet.
Step 1 — Enable network exposure
In the Serveur tab of the cockpit UI:
- Toggle "Exposer sur le réseau local"
- Click "Démarrer le serveur MCP"
Or configure it persistently in .env before starting:
WEATHGARDS_MCP_TOKEN=your-secret-token-here
WEATHGARDS_HOST=0.0.0.0
Step 2 — Retrieve the endpoint and token
The Informations de connexion section shows the live values:
Endpoint MCP : http://192.168.1.42:9766/mcp
Token : wg-xxxxxxxxxxxxxxxxxxxx
Step 3 — Configure your MCP client
Paste the generated JSON snippet (available via the "Copier" button) into your Claude Desktop / MCP client config:
{
"mcpServers": {
"weathgards": {
"url": "http://192.168.1.42:9766/mcp",
"headers": {
"Authorization": "Bearer wg-xxxxxxxxxxxxxxxxxxxx"
}
}
}
}
Claude Desktop config path:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json- Windows:
%APPDATA%\Claude\claude_desktop_config.json- Linux:
~/.config/Claude/claude_desktop_config.json
⚠ Security Warning
Network exposure requires authentication — no exceptions.
Binding the MCP server to 0.0.0.0 makes it reachable by every device on your LAN. WEATHGARDS enforces a Bearer token on every /mcp request and refuses to start in network mode without a configured token.
Recommended hardening:
- Set
WEATHGARDS_MCP_TOKENto a long random string (≥ 32 characters):python3 -c "import secrets; print('wg-' + secrets.token_hex(32))" - Restrict access to a specific subnet via
WEATHGARDS_ALLOWED_CLIENTS=192.168.1.0/24in.env. - Never commit your
.envfile — it is already in.gitignore. - Do not expose WEATHGARDS on a public network. It is designed for a trusted local subnet only.
Development
# Install with dev extras
uv sync --extra dev
# Run with auto-reload
uv run weathgards --reload
# Lint
uv run ruff check src tests
# Format
uv run ruff format src tests
# Type check
uv run mypy src
# Tests (with coverage)
uv run pytest
# Tests — fast, no coverage
uv run pytest --no-cov
# Smoke tests only
uv run pytest tests/test_smoke.py --no-cov -v
# Build frontend
cd frontend && npm run build
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.