MCP Server by XWiki connects artificial intelligence and organizational knowledge repositories while preserving user control, digital sovereignty, and open-source flexibility.
What the product does and how it is positioned
MCP Server by XWiki provides an open-source solution for organizations seeking to integrate artificial intelligence capabilities directly with their existing knowledge platforms without sacrificing data ownership.
Built as part of the broader XWiki ecosystem, the tool allows teams to leverage modern model context protocols while maintaining flexible deployment choices across cloud and on-premises environments.
Source-supported ways to use the product
Teams can connect large language models to internal wikis and structured documentation repositories for contextual information retrieval.
Organizations with strict compliance requirements can implement AI features while keeping their underlying data fully under local or private cloud control.
The MCP Server by XWiki extends the core platform's philosophy of digital sovereignty into the realm of artificial intelligence. By utilizing an open-source Model Context Protocol server, organizations can bridge external language models with internal documentation while retaining absolute ownership over their data structures.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
It is an open-source Model Context Protocol server designed to connect artificial intelligence models with XWiki knowledge bases while maintaining user data control.
The underlying infrastructure supports both cloud and on-premises deployment options according to organizational preferences and security requirements.
Yes, hosting options include ISO 27001 certified cloud and support services alongside GDPR-aligned data processing frameworks.
Yes, the solution is provided as an open-source offering aligned with XWiki's long-standing commitment to open-source software and digital sovereignty.
It acts as a bridge that allows artificial intelligence applications to query and interact with structured documentation, wikis, and organizational repositories.
