Track change
Visualization layer for AI
Give ideas
a visible shape.
VSLZ is a free, client-rendered MCP visualization layer that helps AI turn structured thinking into polished, interactive exhibits.
Enterprise generates nearly half of FY2025 revenue and the largest growth contribution
Revenue by segment
FY2025 · USD millions
Enterprise generates nearly half of FY2025 revenue and the largest growth contribution. Revenue by segment. 4 data records. Use the data table below to inspect exact values.
Selected exhibits
Clear trends. Precise comparisons. Connected ideas.
A focused selection with white surfaces, crisp typography and restrained color. All examples use illustrative, synthetic data.
See the gap
Explain relationships
Explore all charts → · Explore diagrams → · Explore infographics →
Explore the visual vocabulary
From a quick comparison to an editorial story.
Choose from 15 basic chart families, or preview four editorial templates with faceted comparisons, distributions, connected observations, and exact-data inspection. Eight infographic compositions bring metrics, charts, diagrams, and networks together; 22 diagram templates add process, planning, hierarchy, data-flow, and system views.
Explore group trends, histograms, radar profiles and connected trajectories. All editorial charts also work inside network infographics.
Icons, vector glyphs and inline image badges add meaningful identity without changing values. No server photo storage is required. Editorial features are enabled by default and can be disabled per deployment.
Explore the chart gallery → · Explore infographic stories → · Try the prompt recipes → · Inspect every chart at two sizes →
A thin protocol layer
AI decides what matters. VSLZ decides how it lands.
The server validates a safe visualization spec and returns an MCP App resource. Rendering, layout, interaction, and theme adaptation stay on the user’s device.
intent + data
validate + deliver
render + interact
Visual principles
Clarity is a system, not a finishing touch.
Insight → evidence → context. The reader knows where to start.
Units, baselines, precision, and proportions support trust.
One accent carries the argument. Context recedes.
The host performs layout and interaction; the server stays thin.
Chart
Quantitative stories
Basic charts and editorial forms for ranks, trends, distributions, radar profiles, with exact-data inspection.
Diagram
Explicit structure
Mermaid and authored templates for processes, planning, ownership, data flows and system architecture.
Network
Exploratory relationships
Interactive nodes, icon/image badges and network infographics with complementary chart evidence.
Start with the message
What should people see first?
Connect VSLZ and let your next conversation answer with more than a paragraph.
Read the getting started guide →