Logguardian Ai

v1.0.0

A powerful MCP server built with NitroStack

Connection Setup

Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):

{
  "mcpServers": {
    // your other mcp servers
    "logguardian-ai": {
      "url": "https://logguardianai-6a5-hell-fire-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp"
    }
  }
}

Connect remote tools directly via Claude's Web UI:

Add custom connector BETA
Connect Claude to your data and tools. Learn more about connectors or get started with pre-built ones.
Advanced settings
Only use connectors from developers you trust. Anthropic does not control which tools developers make available and cannot verify that they will work as intended or that they won't change.

Configure custom tools directly via ChatGPT's Web UI:

New App
PNG only. Best results at 256 x 256 px or larger. Max file size: 10 KB
Custom MCP servers introduce risk. Learn more
OpenAI hasn't reviewed this MCP server. Attackers may attempt to steal your data or trick the model into taking unintended actions, including destroying data.

Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):

{
  "mcpServers": {
    // your other mcp servers
    "logguardian-ai": {
      "serverUrl": "https://logguardianai-6a5-hell-fire-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp"
    }
  }
}

Add the following configuration block to your Codex configuration file (~/.codex/config.toml):

[mcp_servers.logguardian-ai]
url = "https://logguardianai-6a5-hell-fire-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp"

Connect directly using the Server-Sent Events endpoint:

https://logguardianai-6a5-hell-fire-amrita-university-amritapuri-campus.app.nitrocloud.ai/mcp
Available Tools
calculate

Perform basic arithmetic calculations

convert_temperature

Convert temperature units based on file content or direct input. Supports Celsius (C) and Fahrenheit (F).

upload-and-analyze

Upload log files and analyze them for anomalies, severity classification, and root cause detection

get-incident-details

Get full details for a specific incident including root cause analysis and recommendations

list-incidents

List incidents filtered by severity level, returning incident cards with details

export-report

Generate and export incident report in HTML or JSON format