Scout Server
БесплатноНе проверенEnables AI agents to interact with Scout Live platform capabilities through standardized MCP primitives, including tools for app management, deployment, and log
Описание
Enables AI agents to interact with Scout Live platform capabilities through standardized MCP primitives, including tools for app management, deployment, and logging.
README
An MCP (Model Context Protocol) server that wraps the Scout SDK, enabling AI agents to interact with Scout Live platform capabilities through standardized MCP primitives.
What is MCP?
The Model Context Protocol is an open protocol that enables seamless integration between LLM applications and external data sources and tools. It provides:
- Resources: Context and data for AI models
- Prompts: Templated messages and workflows
- Tools: Functions for AI models to execute
Features
This MCP server exposes Scout Live capabilities as:
Tools (Actions)
| Tool | Description | Auth Required |
|---|---|---|
app_list |
List user's apps | User |
app_create |
Create a new app | User |
deploy |
Deploy app version | App (owner) |
logs |
Get app logs | App |
port_get |
Get port adapter config | App |
port_set |
Set port adapter mapping | App (owner) |
Resources (Data)
| Resource | Description | Auth Required |
|---|---|---|
scout://apps |
List of all apps | User |
scout://adapters |
Available adapters | Public |
scout://app/{slug} |
App details | App |
Prompts (Workflows)
| Prompt | Description |
|---|---|
deploy-new-app |
Create and deploy a new app |
debug-errors |
Investigate app errors |
Installation
# Clone the repository
git clone https://github.com/scoutos-labs/scout-mcp-server.git
cd scout-mcp-server
# Install dependencies
bun install
# Build
bun run build
# Run with stdio transport (local use)
bun run start
# Run with HTTP transport (server mode)
bun run start:http
Configuration
Environment Variables
Copy .env.example to .env and configure:
| Variable | Description | Required |
|---|---|---|
SCOUT_API_KEY |
Scout Live API key | Yes |
SCOUT_API_URL |
API endpoint (default: https://scoutos.live) | No |
MCP_TRANSPORT |
Transport mode: stdio or http |
No (default: stdio) |
PORT |
HTTP server port | No (default: 3000) |
For Claude Desktop
Add to your Claude Desktop config:
{
"mcpServers": {
"scout": {
"command": "bun",
"args": ["run", "/path/to/scout-mcp-server/dist/index.js"],
"env": {
"SCOUT_API_KEY": "your-api-key"
}
}
}
}
For Claude Code
{
"mcpServers": {
"scout": {
"command": "bun",
"args": ["run", "/path/to/scout-mcp-server/dist/index.js"],
"env": {
"SCOUT_API_KEY": "your-api-key"
}
}
}
}
Development
# Run tests
bun run test
# Run tests in watch mode
bun run test:watch
# Run with coverage
bun run test:coverage
# Lint
bun run lint
Deployment to scoutos.live
Prerequisites
- DigitalOcean Container Registry access
- kubectl configured for scout-live cluster
- Scout Live namespace exists
Deploy
# Build and deploy
./deploy.sh v0.1.0
# Or manual steps:
# 1. Build
bun run build
# 2. Build Docker image
docker build -t registry.digitalocean.com/scout-live/mcp-server:v0.1.0 .
# 3. Push to registry
docker push registry.digitalocean.com/scout-live/mcp-server:v0.1.0
# 4. Apply Kubernetes manifests
kubectl apply -f k8s/deployment.yaml -n scout-live
kubectl apply -f k8s/ingress.yaml -n scout-live
# 5. Update deployment image
kubectl set image deployment/scout-mcp-server \
mcp-server=registry.digitalocean.com/scout-live/mcp-server:v0.1.0 \
-n scout-live
Verify Deployment
# Check pod status
kubectl get pods -n scout-live -l app=scout-mcp-server
# Check logs
kubectl logs -f deployment/scout-mcp-server -n scout-live
# Health check
curl https://mcp.scoutos.live/health
Access Endpoints
After deployment, the MCP server is available at:
| Endpoint | Description |
|---|---|
https://mcp.scoutos.live/ |
Server capabilities |
https://mcp.scoutos.live/health |
Health check |
https://mcp.scoutos.live/sse |
SSE transport endpoint |
Architecture
┌──────────────────────────────────────────────┐
│ MCP Host (Claude, etc.) │
└─────────────────────────┬────────────────────┘
│
▼
┌──────────────────────────────────────────────┐
│ Scout MCP Server (this repo) │
│ │
│ ┌─────────┐ ┌─────────┐ ┌─────────────┐ │
│ │ Tools │ │Resources│ │ Prompts │ │
│ └────┬────┘ └────┬────┘ └──────┬──────┘ │
│ │ │ │ │
│ └────────────┼──────────────┘ │
│ │ │
└────────────────────┼─────────────────────────┘
│
▼
┌──────────────────────────────────────────────┐
│ Scout Live API │
│ (scoutos.live) │
└──────────────────────────────────────────────┘
API Reference
Tools
app_list
List all apps for the authenticated user.
{
"name": "app_list",
"arguments": {}
}
app_create
Create a new app on Scout Live.
{
"name": "app_create",
"arguments": {
"name": "My App",
"slug": "my-app" // optional, auto-generated if not provided
}
}
deploy
Deploy a new version of an app.
{
"name": "deploy",
"arguments": {
"slug": "my-app",
"files": {
"index.html": "<html>...</html>",
"style.css": "body { ... }"
}
}
}
logs
Get recent logs for an app.
{
"name": "logs",
"arguments": {
"slug": "my-app",
"lines": 100 // optional
}
}
Resources
scout://apps
List all apps.
scout://adapters
List available port adapters.
scout://app/{slug}
Get details for a specific app.
Prompts
deploy-new-app
Create and deploy a new app.
{
"name": "deploy-new-app",
"arguments": {
"name": "My App",
"type": "static" // optional: static, hono, express
}
}
debug-errors
Investigate errors in app logs.
{
"name": "debug-errors",
"arguments": {
"slug": "my-app"
}
}
License
MIT
Установка Scout Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/scoutos-labs/scout-mcp-serverFAQ
Scout Server MCP бесплатный?
Да, Scout Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Scout Server?
Нет, Scout Server работает без API-ключей и переменных окружения.
Scout Server — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Scout Server в Claude Desktop, Claude Code или Cursor?
Открой Scout 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 Scout Server with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
