Trackly CLI
v0.18.1
io.github.trackly-app/trackly
AI job search for Claude, ChatGPT, Cursor. 170K+ jobs, 3,800+ companies. OAuth or stdio.
io.github.Yarmoluk/ckg-nvidia-nemoclaw · v0.10.3
NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.
NVIDIA NemoClaw CKG 是一个MCP Server,收录自 官方 MCP Registry。支持 streamable-http、stdio 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。
选择你的平台查看安装方式
{
"mcpServers": {
"ckg-nvidia-nemoclaw": {
"command": "uvx",
"args": [
"ckg-nvidia-nemoclaw"
]
}
}
}v0.18.1
io.github.trackly-app/trackly
AI job search for Claude, ChatGPT, Cursor. 170K+ jobs, 3,800+ companies. OAuth or stdio.
v0.3.0
io.github.theoddden/stamp
NTP time plus clock-drift history: stable vs. accelerating offsets.
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Every NinjaOne report, plus a local store that answers fleet-wide questions no single API call can
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v2.1.0
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{
"id": "io.github.Yarmoluk/ckg-nvidia-nemoclaw",
"type": "mcp-server",
"version": "0.10.3",
"displayName": "NVIDIA NemoClaw CKG",
"description": "NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens. MCP-native.",
"repository": {
"url": "https://github.com/Yarmoluk/ckg-nvidia-nemoclaw",
"source": "github"
},
"distribution": {
"packages": [
{
"registryType": "pypi",
"identifier": "ckg-nvidia-nemoclaw",
"version": "0.10.3",
"runtimeHint": "uvx",
"transport": "stdio"
}
],
"remotes": [
{
"transport": "streamable-http",
"url": "https://ckg-nvidia-nemoclaw.onrender.com/mcp"
}
]
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode",
"trae",
"cherry-studio",
"lingma",
"windsurf",
"cline",
"workbuddy"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.Yarmoluk/ckg-nvidia-nemoclaw",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.Yarmoluk%2Fckg-nvidia-nemoclaw/versions/latest",
"isOfficial": true,
"status": "active"
}
}