Projektportalen integrates AI assistants with MCP support
Projektportalen, a project management system for the trade and installation industries, is launching support for the Model Context Protocol (MCP). This enables the secure connection of AI assistants to customers' project data.

What happened?
Projektportalen has implemented support for the Model Context Protocol (MCP), a key component for integrating AI assistants with existing project data. This feature, available as an add-on service, allows users to securely connect their own AI assistants to the platform. The launch forms the foundation for future AI integrations within the system, targeting the trade and installation sectors.
Key facts
| Lanseringsdatum | 7 juli 2026 |
|---|---|
| Tjänst | Model Context Protocol (MCP) stöd |
| Branschfokus | Hantverks- och installationsbranschen |
”Projektportalen, det branschspecifika projektledningssystemet för hantverks- och installationsbranschen, lanserar stöd för Model Context Protocol (MCP) - och gör det möjligt för kunder att koppla sin egen AI-assistent säkert till sin egna data i systemet.”
”Med MCP-stödet kan användare ställa frågor om sin verksamhet direkt i naturligt språk: "Vilka projekt arbetar jag med?", "Hur ser ekonomin ut i projekt X?", "Vad har vi fakturerat den här månaden?"”
Why it matters
The initiative aims to transform how companies in the trade and installation sectors interact with their project data. Instead of merely storing information, users can ask questions in natural language and receive direct answers from their AI assistants, eliminating the need for manual reporting and searches. This represents a shift towards more proactive data analysis and decision-making within the industry.
Who is affected?
Users within the construction and installation industries, primarily those using Projektportalen, are affected as they gain access to advanced AI functions. System providers and other software companies considering AI integration are indirectly affected by Projektportalen positioning itself as an early adopter of AI in industry-specific systems.
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