io.github.uiNerd16/aicanvas
NPM · @AICANVAS/MCP · SCANNED AUG 3
Browse and install 75+ free animated, shadcn-compatible React components from AI Canvas.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 25 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability77
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 758 tokens (~94/item across 8 items; 8 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · @aicanvas/mcp
claude mcp add uinerd16-aicanvas -- npx -y @aicanvas/mcp
codex mcp add uinerd16-aicanvas -- npx -y @aicanvas/mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"uinerd16-aicanvas": {
"type": "local",
"command": [
"npx",
"-y",
"@aicanvas/mcp"
],
"enabled": true
}
}
} openclaw mcp add uinerd16-aicanvas --command npx --arg -y --arg @aicanvas/mcp
mcp_servers:
uinerd16-aicanvas:
command: "npx"
args: ["-y", "@aicanvas/mcp"] {
"mcpServers": {
"uinerd16-aicanvas": {
"command": "npx",
"args": [
"-y",
"@aicanvas/mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 2 Aug 26 +33
- Provenance: unverified → fail ▼ security
- Known CVEs: unverified → partial ▲ security
- Install scripts: unverified → pass ▲ security
- Security disclosure: fail → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Schema quality: unverified → excellent ▲ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Stability: unverified → 0.20 ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- First check of Schema quality: unverified functional
- Licence: MIT functional
- 1 Aug 26 +15
- Malware scan: unverified → pass ▲ security
- 31 Jul 26 −25
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Jul 26 46
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/@aicanvas/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 95 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
get_component Get an AI Canvas component (full metadata + source code) ~108
Return the complete record for a single component: metadata + the entire .tsx source code as a string. Use after the user picks one from a search/list result and wants to see the implementation, or before installing if they want to inspect first. The source is the exact file the CLI install would write into a project.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | The component slug, e.g. "ai-job-cards", "wave-lines", "halo-type". Use exact slugs from list/search results. |
No output schema declared.
No examples provided.
get_install_command Get the AI Canvas install command for a component ~100
Return the shadcn CLI command to install a single component into the user's project. After calling this, suggest the user run the command (or run it yourself if you have shell access). Requires shadcn-aware setup (Tailwind v4, components.json) — for projects without that, fall back to `get_component` and write the file manually.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | The component slug, e.g. "ai-job-cards". |
No output schema declared.
No examples provided.
get_system Get a complete AI Canvas design system (every file) ~80
Return all files for a design system in a single response — every component, plus shared tokens and utilities — ready to write into the user's project. Use when the user wants to adopt a whole system rather than pick individual components.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | Design system slug, e.g. "andromeda". Use `list_systems` to discover. |
No output schema declared.
No examples provided.
get_template Get a complete AI Canvas design-system template (every file) ~96
Return all files for a single template — the example composition plus every component it uses plus shared tokens. Use for "I want exactly this dashboard" / "give me the entire mission-control screen". One CLI command installs all files.
| Name | Type | Req | Description |
|---|---|---|---|
| slug | string | yes | Template slug, e.g. "andromeda-mission-control", "andromeda-exchange-terminal". Use `list_systems` then inspect templateSlugs to discover. |
No output schema declared.
No examples provided.
list_categories List AI Canvas categories ~46
Return every category in the AI Canvas standalone component library, with the number of components in each. Use to orient before listing or searching — e.g. "what kinds of components are available?"
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_components List AI Canvas components ~152
Return AI Canvas components, optionally filtered by category. Use after `list_categories` to drill into one, or pass no filter to browse everything. Each result includes slug, name, description, categories, screenshot URL, install command, and homepage URL — enough to evaluate without a separate `get_component` call. Pagination via `limit` and `offset`.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | — | Optional category label, e.g. "Cards & Modals", "Backgrounds", "Typography". Case-insensitive. Omit to list all components. |
| limit | integer | — | Max number of components to return. Default 25. |
| offset | integer | — | Number of components to skip (for pagination). Default 0. |
No output schema declared.
No examples provided.
list_systems List AI Canvas design systems ~61
Return every design system available on AI Canvas. A design system is a coordinated set of components plus shared tokens and utilities — installable in one CLI command. Use when the user asks about "themes", "design systems", or wants more than a single component.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
search_components Search AI Canvas components ~115
Fuzzy keyword search across component slug, name, description, categories, and tags. Returns best matches ranked by relevance. Use when the user describes what they want in their own words, e.g. "an animated card stack", "background with waves", "typography that reveals on scroll". Results include screenshot URLs and install commands for immediate evaluation.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | — | Max number of matches to return. Default 10. |
| query | string | yes | Free-text search query. Multiple words are tokenized and matched independently. |
No output schema declared.
No examples provided.