Document360
Document360 opens its knowledge base wider: per-user Zendesk sign-in, feedback APIs and MCP.
◆Recent moves
- 12d ago
Document360 12.11.1: per-user Zendesk sign-in, feedback APIs, MCP
Zendesk agents now sign in to the Document360 app with their own accounts, new API endpoints expose article and Eddy AI feedback, and MCP capabilities expand. Per-user permissions in Zendesk close a real access gap.
View source ↗ - 19d ago
12.10.2: Eddy AI version summaries and Engage dashboard
12.10.2 lets Eddy AI summarize the differences between any two article versions, so reviewers see what changed before reading the highlights. It also adds a central Engage dashboard for reusing and translating guides and videos, plus custom feedback options and widget link controls.
View source ↗ - 1mo ago
October - 12.10.1
12.10.1 adds source citations to Eddy AI chatbot answers, hiding private sources behind a generic label, and puts all SSO methods in one setup flow. Citations follow September's unanswered-query analytics in the same direction: making the chatbot's answers checkable rather than adding new AI surface.
View source ↗ - 1mo ago
12.9.3: Drive file renaming and Eddy AI email escalations
Document360 12.9.3 ships Drive file renaming without breaking existing references, email routing for Eddy AI ticket escalations, Drive asset insertion in AI capture, and clearer content access inheritance indicators. Solid polish across file management and AI chatbot escalation flows, continuing the steady Eddy AI build-out.
View source ↗ - 1mo ago
12.9.2: article archiving, link expiry, new MCP tools
12.9.2 adds article archiving (clean removal from search/AI without deletion), private link expiry controls, and two new MCP server tools — full-text search and article listing with regex support. The MCP expansion is the most meaningful piece: it widens the programmatic surface that AI agents can use to query documentation.
View source ↗ - 2mo ago
September 12.9.1: Eddy AI analytics expose unanswered query patterns
12.9.1 introduces Advanced Eddy AI Analytics — tracking answered vs. unanswered queries with reasons for the gaps (content gap, out-of-scope, query interpretation failure). This gives knowledge base managers data to close documentation holes that the AI is already hitting.
View source ↗