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NinjaOne combines Katana AI and MCP server to accelerate IT problem resolution

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NinjaOne combines Katana AI and MCP server to accelerate IT problem resolution

NinjaOne released Katana artificial intelligence (AI), an agentic artificial intelligence (AI) technician, and the NinjaOne Model Context Protocol (MCP) server to help IT workers process data and resolve problems more efficiently. Katana AI supports IT staff by providing context for issue resolution, while the MCP server extends governed access to AI tools teams already use.

Why it matters: IT operations teams using NinjaOne can now automate problem-hunting workflows and reduce time spent on context-gathering, improving response times for infrastructure issues.

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Correction recorded as of .

industry

NinjaOne combines Katana AI and MCP server to accelerate IT problem resolution

NinjaOne released Katana, an agentic artificial intelligence (AI) technician, and the NinjaOne Model Context Protocol (MCP) server to help IT workers process data and resolve problems more efficiently. Katana supports IT staff by providing context for issue resolution, while the MCP server extends governed access to AI tools teams already use.

Why it matters: IT operations teams using NinjaOne can now automate problem-hunting workflows and reduce time spent on context-gathering, improving response times for infrastructure issues.

Source published
First seen by Cybersecurity Tracker

Source attribution

Correction

Correction recorded as of .

industry

NinjaOne combines Katana AI and MCP server to accelerate IT problem resolution

NinjaOne released Katana, an agentic artificial intelligence (AI) technician, and the NinjaOne Model Context Protocol (MCP) server to help IT workers process data and resolve problems more efficiently. Katana supports IT staff by providing context for issue resolution, while the MCP server extends governed access to AI tools teams already use.

Why it matters: IT operations teams using NinjaOne can now automate problem-hunting workflows and reduce time spent on context-gathering, improving response times for infrastructure issues.

VendorsSolarWinds
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