XWiki MCP Server is an open-source, self-hostable extension that connects XWiki to the AI agent of your choice: OpenCode, Pi, Codex, Claude Code, GitHub Copilot, and more. You can already use the extension to query your knowledge base to get answers, create and edit pages, and work with structured data directly in XWiki. Try out the extension and let us what's should we improve next!
Our company wiki is a folder of markdown files in git. The agents read an index page first, one line per page, and only then open the page they need. Does the MCP give the agent a list like that, or does it search the whole wiki on every question?
Keeping write operations disabled by default feels like the right starting point, and the unlimited version history is reassuring. If an agent edit does go wrong, does reverting restore the whole page to the previous version, or can you roll back just that one change while keeping later edits?
Congrats on the launch! Open-source, self-hostable, and agent-agnostic is a great combination for teams that want AI on their knowledge base without giving up control.
Hello all, and thanks for your support! If you want to learn more about the XWiki MCP Server, @gabriel_cio hosted his first live session yesterday and did a live demo. You can check it on @YouTube: https://youtu.be/Bwxx3eR9OsM
Exciting to see this come to life! Congrats to the whole team on this great achievement!
Really happy to see this live as I know how much effort went into it and as always it's really interesting to interact with XWiki this way. Kudos to the team!
Hey, my experience with knowledge systems is that at some point they become write-only. SO MCP might help with that if people just connected them to their agent of choice. Does XWiki have any deconflicting mechanism?
Letting my agent edit wiki pages instead of just reading them is the shift that makes a knowledge base worth keeping current, and self hosting means the internal docs never leave the building.
Starting with read access gives a team room to see what the agent does with its wiki. I'd want to review the proposed page edits before enabling writes.
Great job guys, I know how hard you've worked on it! Congrats on the release!
We were using Confluence org-wide and it was not coping up for agentic workflows. I think this one would be more optimized for AI.
The possibilities of connecting AI agents to all the knowledge stored in XWiki are pretty exciting. And keeping it open source, optional and self-hostable makes it even better. Can't wait to see what people build with it!
Waited for a long time for XWiki to launch their MCP server, very excited for the new possibilities this offers us. Congrats to the team!
I've seen the passion and dedication @gabriel_cio has when he puts his mind on something and working on this project has been a blast. Very excited to see where XWiki will go with AI agents! Many congrats and keep on rolling!
XWiki has been around for over 20 years. That's plenty of time for organizations to build up A LOT of knowledge in their wikis. Documentation, internal procedures, custom applications full of structured data... you name it. In XWiki you can have all that, and more.
As AI agents become ingrained in daily workflows, we started thinking of ways to make all that internal knowledge available to them. That's what we're sharing today: the XWiki MCP Server!
It's a free, open-source extension that connects XWiki to AI agents like Claude Code, Codex, OpenCode, Pi, MS Copilot, and anything else that speaks MCP.
When you connect your agent to your wiki, you may expect it to be able to find out about that old project decision, update some pages or even attached documents, maybe build a small internal app. And your expectations would be fulfilled, because your agent can now do all of that, and more. Since XWiki supports structured data, agents can also work with objects and classes, not just read and write pages. That's what makes XWiki and AI such a good combo!! (especially if you're a dev)
When we started thinking about adding an MCP server to XWiki, making it optional and self-hostable was our default choice. We believe it's your right to choose whether you want to use these tools, and if you do, in what capacity. You decide if and when to install it, which model to connect through it, and where everything runs. You can self-host everything (XWiki, MCP, AI model), if that's what you need. Write operations are disabled by default, so you don't make any accidental oopsies, and the agent navigates the wiki with the same permissions as your user account.
We're still actively developing the extension. We'd love to get more people experimenting with it, maybe even on use cases we haven't even thought of yet.
I'm curious: Now that you can give your AI agent access to your team's wiki, what are you going to have it do first?
If you try the extension, I'd also love to hear what works, what's confusing, and what's missing. Feedback, bug reports, wild ideas... all welcome.
I'll be in the comments. Thanks for checking out our product!! 😋 Thanks so much for hunting us, @fmerian! 🙌
About MCP Server by XWiki on Product Hunt
“Give your AI your wiki's knowledge while keeping the control”
MCP Server by XWiki launched on Product Hunt on October 30th, 2026 and earned 175 upvotes and 39 comments, placing #5 on the daily leaderboard. XWiki MCP Server is an open-source, self-hostable extension that connects XWiki to the AI agent of your choice: OpenCode, Pi, Codex, Claude Code, GitHub Copilot, and more. You can already use the extension to query your knowledge base to get answers, create and edit pages, and work with structured data directly in XWiki. Try out the extension and let us what's should we improve next!
MCP Server by XWiki was featured in Productivity (664.4k followers), Open Source (69k followers) and Artificial Intelligence (482.5k followers) on Product Hunt. Together, these topics include over 325.7k products, making this a competitive space to launch in.
Who hunted MCP Server by XWiki?
MCP Server by XWiki was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Our company wiki is a folder of markdown files in git. The agents read an index page first, one line per page, and only then open the page they need. Does the MCP give the agent a list like that, or does it search the whole wiki on every question?