A powerful MCP server built with NitroStack
Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):
{
"mcpServers": {
// your other mcp servers
"industrial-inspection-server": {
"url": "https://image-based-anomaly-detection-root-caus-monospace-maniac-srmist.app.nitrocloud.ai/mcp"
}
}
}
Connect remote tools directly via Claude's Web UI:
Configure custom tools directly via ChatGPT's Web UI:
Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):
{
"mcpServers": {
// your other mcp servers
"industrial-inspection-server": {
"serverUrl": "https://image-based-anomaly-detection-root-caus-monospace-maniac-srmist.app.nitrocloud.ai/mcp"
}
}
}
Add the following configuration block to your Codex configuration file (~/.codex/config.toml):
[mcp_servers.industrial-inspection-server] url = "https://image-based-anomaly-detection-root-caus-monospace-maniac-srmist.app.nitrocloud.ai/mcp"
Connect directly using the Server-Sent Events endpoint:
https://image-based-anomaly-detection-root-caus-monospace-maniac-srmist.app.nitrocloud.ai/mcp
Runs end-to-end AI defect detection, localization, RAG root cause analysis, and report verification on an industrial image.
Queries the RAG FAISS vector store for maintenance guidelines, equipment manuals, and past failure cases.
Audits inspection findings and root-cause claims for ungrounded assertions or hallucinations.
Compiles inspection results into exportable PDF and JSON reports.
Retrieves machine line health history, failure rates, and maintenance logs.
Retrieves all supported industrial datasets, model backbones, and defect category taxonomies.