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SentinelX

Operate your own Linux servers from your LLM. Requires the SentinelX agent installed per host.

RUN IN TERMINAL
# See repository for install instructions
ADD TO claude_desktop_config.json
{ "mcpServers": { "appsentinelx-sentinelx": { "command": "npx", "args": [] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "appsentinelx-sentinelx": { "command": "npx", "args": [] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "appsentinelx-sentinelx": { "command": "npx", "args": [] } } }

TRY THIS MCP

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About This MCP Server

The app.sentinelx/sentinelx server is a Model Context Protocol server that enables developers to operate their own Linux servers remotely from a large language model. It requires the SentinelX agent to be installed on each host and allows for remote management, making it a useful tool for developers who need to control and interact with their servers programmatically. Developers would reach for this tool when they need to integrate their AI models with their own server infrastructure.

Operate your own Linux servers from your LLM. Requires the SentinelX agent installed per host.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with ai & machine learning capabilities via the streamable-http transport.

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the streamable-http transport.

What tools does it provide?

The SentinelX server extends your AI assistant with ai & machine learning capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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