One of the most important questions about AI in project work is: How do you use it without losing co
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| Source: Mastodon | Original article
OpenProject 17.2, the open‑source project‑management suite popular with European municipalities and tech firms, has rolled out a new “MCP Server” component on its Professional tier and above. The server acts as a local gateway for large‑language‑model (LLM) calls, letting administrators decide which AI tools—such as OpenAI’s GPT‑4, Anthropic’s Claude or the newly open‑source Gemma 4—are permitted and which data sets they may access. By keeping the inference traffic behind the organization’s firewall, the feature promises to keep project artefacts, issue logs and roadmap details out of third‑party clouds while still offering AI‑driven assistance for ticket triage, risk analysis and sprint planning.
The move addresses the chief objection many enterprises have raised to AI adoption: loss of control over confidential project data. Earlier this month, Google made Gemma 4 fully open‑source, demonstrating that powerful models can run on‑premise or even on mobile devices. OpenProject’s MCP Server builds on that trend, providing a turnkey integration point that does not require teams to spin up their own model‑serving infrastructure. For organisations that have already embraced OpenProject’s collaborative workflow, the addition means AI can now suggest task descriptions, auto‑populate status fields or flag dependency conflicts without ever leaving the internal network.
Analysts see the launch as a litmus test for the broader “secure AI” market, where vendors balance model performance with data sovereignty. The next steps will reveal how quickly customers migrate to the Professional plan to unlock MCP, and whether the feature will expand to the Community edition. Watch for OpenProject’s upcoming roadmap announcement, which is expected to detail support for custom‑trained models and tighter integration with compliance tools such as GDPR‑ready audit logs. If the MCP Server gains traction, it could set a benchmark for other project‑management platforms seeking to embed AI without compromising data governance.
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