truenas-mcp
Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.
README
TrueNAS MCP Server
Read-only MCP server for TrueNAS Scale debugging. Runs directly on TrueNAS and provides:
- k3s tools — kubectl get/describe/logs/events/top wrapped as MCP tools
- TrueNAS API — whitelisted
midclt callmethods for system info, apps, pools
No destructive operations. Every tool is read-only.
Quick Start
# Install
pip install git+https://github.com/a-simple-test-organization/truenas-mcp.git
# Run (no auth)
MCP_PORT=38888 python -m truenas_mcp.server
# Starts on http://0.0.0.0:38888/mcp
# Health check
curl http://localhost:38888/health
# → {"status": "ok", "auth_enabled": false}
Authentication
Set MCP_TOKEN to enable Bearer token auth. Then all requests must include Authorization: Bearer <token>.
# Generate a token
openssl rand -hex 32
# Run with auth
MCP_TOKEN="your-token-here" MCP_PORT=38888 python -m truenas_mcp.server
Client configuration (e.g. OpenClaw, Claude Code, OpenCode):
{
"mcpServers": {
"truenas": {
"url": "http://192.168.2.48:38888/mcp",
"headers": {
"Authorization": "Bearer your-token-here"
}
}
}
}
The /health endpoint is always available without authentication.
systemd Deployment
# Copy the unit file
cp deploy/truenas-mcp.service /etc/systemd/system/
# Edit Environment=MCP_TOKEN= to set your token
vim /etc/systemd/system/truenas-mcp.service
# Enable and start
systemctl daemon-reload
systemctl enable --now truenas-mcp.service
# Check
systemctl status truenas-mcp
journalctl -u truenas-mcp -f
MCP Tools
k3s (9 tools)
| Tool | Description |
|---|---|
kubectl_get |
Get resources (pods, deployments, nodes, ...) |
kubectl_describe |
Detailed resource description |
kubectl_logs |
Container logs |
kubectl_events |
Cluster events |
kubectl_nodes |
Node status |
kubectl_top_pods |
Resource usage by pod |
kubectl_top_nodes |
Resource usage by node |
kubectl_api_resources |
Available API types |
pod_status_summary |
Quick all-pods overview |
TrueNAS (2 tools)
| Tool | Description |
|---|---|
midclt_call |
Call whitelisted TrueNAS API method |
midclt_call_arg |
Call with arguments |
Debugging Slow App Startup
1. pod_status_summary
2. kubectl_events(all_namespaces=True)
3. kubectl_describe(resource_type="pod", name="<slow-pod>", namespace="ix-<app>")
4. kubectl_logs(pod_name="<slow-pod>", namespace="ix-<app>")
5. midclt_call(method="chart.release.query")
Environment Variables
| Variable | Default | Description |
|---|---|---|
K3S_BIN |
auto (PATH + fallbacks) | Path to k3s binary |
MIDCLT_BIN |
auto (PATH + fallbacks) | Path to midclt binary |
MCP_PORT |
8000 |
HTTP listen port |
MCP_HOST |
0.0.0.0 |
HTTP listen host |
MCP_PATH |
/mcp |
Streamable HTTP endpoint path |
MCP_TOKEN |
(empty = no auth) | Bearer token for authentication |
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。