The problem
Useful AI work often lives outside the chat box.
Once the model needs GitHub, docs, files, or structured outputs, many chat tools break down. You end up stitching together external tooling by hand.
Tool-connected work
Connect tools through MCP and work with outputs as artifacts.
NovaKit helps you go beyond chat by connecting MCP servers and rendering generated outputs like code, React components, Markdown, and diagrams.
Modern AI work increasingly depends on tools, not just text. NovaKit combines MCP connectivity with artifact rendering so actions and outputs stay inside a usable workspace.
The NovaKit approach
Bring tools and generated outputs into the same loop.
NovaKit supports Model Context Protocol servers and artifact rendering so you can connect external systems and review the results in one environment.
Why it matters
Benefits of MCP & Artifacts
- Connect AI to external tools and data sources through MCP.
- Review generated outputs as renderable artifacts, not only plain text.
- Keep coding, documentation, and diagram workflows inside one product.
- Improve safety with approval-aware tool usage patterns.
What you can do
Key capabilities
- Connect GitHub, Notion, Drive, and custom MCP servers.
- Render Markdown, SVG, Mermaid, code, and React-based artifacts.
- Sandboxed previews for generated UI and content outputs.
- Local audit and approval-oriented MCP flow support.
Product preview
What MCP & Artifacts looks like in NovaKit
NovaKit helps you go beyond chat by connecting MCP servers and rendering generated outputs like code, React components, Markdown, and diagrams. These previews show how the feature fits into a real workflow rather than living as a one-off capability.
Panel 01
MCP & Artifacts
NovaKit helps you go beyond chat by connecting MCP servers and rendering generated outputs like code, React components, Markdown, and diagrams.
Connect GitHub, Notion, Drive, and custom MCP servers.
Tool-connected workNovaKitActive workflow
Panel 02
Workflow example
Generate and preview a UI component before exporting it.
Render Markdown, SVG, Mermaid, code, and React-based artifacts.
Use caseExecutionContext
Panel 03
Why people upgrade
Review generated outputs as renderable artifacts, not only plain text.
Connect AI to external tools and data sources through MCP.
Upgrade pathROIOwnership
Common use cases
Where MCP & Artifacts fits best
01
Generate and preview a UI component before exporting it.
02
Use MCP to fetch docs or repo context while solving a technical problem.
03
Create diagrams, markdown deliverables, and structured outputs from one chat workflow.
Best fit
Who MCP & Artifacts is for
Builders connecting AI to tools
Best when chat alone is not enough and models need access to external systems or structured outputs.
Developers generating usable outputs
Helpful for rendering code, diagrams, markdown, and UI artifacts directly inside the workflow.
Advanced users exploring MCP ecosystems
A strong fit if you want a practical MCP client inside a local-first AI workspace.
Why it stands out
NovaKit MCP & Artifacts vs typical alternatives
Comparison
NovaKit
Typical alternative
Tool connectivity
MCP servers connect external tools into the workflow.
Plain chat tools offer limited or proprietary integrations.
Output usability
Artifacts can be rendered and inspected directly.
Outputs often remain trapped as plain text blocks.
Advanced workflows
Good fit for coding, docs, and diagram generation loops.
Harder to build structured tool-augmented flows.
Frequently asked questions
MCP & Artifacts FAQ
What is MCP?
MCP stands for Model Context Protocol. It is a standard for connecting models to external tools, data sources, and capabilities in a structured way.
What are artifacts in NovaKit?
Artifacts are outputs you can inspect or render directly, such as Markdown, diagrams, code, or generated UI components, instead of treating everything like plain text.
Also compare
See how NovaKit stacks up against hosted alternatives
NovaKit vs ChatGPT
Best if you're deciding between hosted OpenAI convenience and a BYOK multi-model workspace.
Read comparison →
NovaKit vs Claude
Best if Anthropic is one of several models in your workflow instead of your whole stack.
Read comparison →
NovaKit vs ChatGPT Teams
Best if you're evaluating hosted vendor custody against local-first ownership and control.
Read comparison →
Learn more
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Ready to try it?
Build your AI workflow on your terms.
NovaKit combines model choice, cost visibility, privacy-first architecture, and local-first ownership in one workspace.
Free
Explore the workspace and core flow before committing.
Starter
Best for individual power users who want the essential NovaKit workflow.
Pro
Best for advanced workflows with the full feature set and future upgrades included.