Import information from tables using AI

With the i-doit ChatCMDB Add-on, you can import large volumes of data without complex mapping or manual preparation. Instead of manually assigning CSV files, you simply upload the file or paste the content directly and briefly describe what should be created. The data is automatically detected, usually interpreted correctly, and directly created in your CMDB — including assignments such as users, locations, and other related information.

Even large device inventories can be transferred in a structured way within seconds, without the need to deal with import rules or field mappings.

Key benefits at a glance:

• No manual mapping of CSV fields required
• Fast import of large data volumes
• Automatic assignment of devices, users, and locations
• Significantly less time required compared to traditional imports
• Clean and consistent data transfer with no rework needed

With the i-doit ChatCMDB Add-on, you can access your IT documentation directly via chat and complete typical tasks much faster. You eliminate unnecessary clicks, reduce potential sources of error, and always maintain full visibility over your data. Whether querying, updating, or creating new entries – you work more efficiently, in a more structured way, and without detours.

Key benefits at a glance:

• Direct access to data without navigation
• Significantly faster day-to-day processing
• Fewer errors thanks to clear inputs
• No specialist knowledge of i-doit required
• Clean and consistent documentation

No import. No copy-paste. Your CMDB answers directly.

With the i-doit MCP server (Model Context Protocol), your CMDB becomes an active knowledge source for external AI agents — such as Claude by Anthropic, Microsoft Copilot, or other LLM-based tools. The AI agent queries i-doit in real time: structured, context-aware, and without any manual preparation.

While the ChatCMDB Add-on simplifies importing into i-doit, the MCP server enables access from i-doit — directly into your AI workflows. Your documentation stops being a reference you look up, and becomes a live data layer your AI tools can actively work with.

Key benefits at a glance:

• No data export or manual pasting into AI chats required
• AI agent reads assets, dependencies, and locations live from your CMDB
• Ideal for incident analysis, compliance checks, and identifying documentation gaps
• Works with all MCP-compatible AI tools and agents
• Keeps your AI responses grounded in your actual, current infrastructure data

Typical use cases:

• "Which systems are affected if this server fails?" — answered directly from your CMDB
• Automated compliance gap detection based on live asset data
• Incident context retrieval during outages without manual lookup
• Natural-language queries across your entire IT documentation