io.github.uiNerd16/aicanvas
NPM · @AICANVAS/MCP · SCANNED SEP 20
Browse and install 75+ free animated, shadcn-compatible React components from AI Canvas.
Available components
Deprecated
This server is marked deprecated in the MCP registry.
The registry records this reason: Moved to io.github.aicanvas-me/aicanvas.
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 → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 96 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: the declared repository URL redirects; it must resolve directly. See how to fix → View diagnostics → Fail
- 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 13 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability86
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 867 tokens (~96/item across 9 items; 9 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
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
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.uiNerd16/aicanvas MCP server?
io.github.uiNerd16/aicanvas runs locally as an npm package, launched with npx -y @aicanvas/mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @aicanvas/mcp
claude mcp add uinerd16-aicanvas -- npx -y @aicanvas/mcp
{
"mcpServers": {
"uinerd16-aicanvas": {
"command": "npx",
"args": [
"-y",
"@aicanvas/mcp"
]
}
}
} {
"servers": {
"uinerd16-aicanvas": {
"command": "npx",
"args": [
"-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": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@aicanvas/mcp"
]
}
}
} assistant mcp add uinerd16-aicanvas -t stdio -c npx -a -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.
- 20 Sept 26 +1
- Stability: 0.97 → pass security
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Sept 26 −3
- Stability: pass → 0.80 functional
- 13 Sept 26 +1
- Stability: 0.97 → pass security
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 7 Sept 26 −8
- Source repository: pass → fail ▼ security
- Stability: pass → 0.80 functional
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 20 Sept 2026 · Analysed npm/@aicanvas/mcp@0.2.3
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 96 packages
| Packages resolved | 96 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
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) ~90
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_templates` 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.
list_templates List AI Canvas design-system templates ~115
Return every ready-made template on AI Canvas. A template is a complete example screen built from one design system — a dashboard, a console, a control room — installable in one CLI command. Use to discover what full screens exist before fetching one with `get_template`, or when the user asks for "a dashboard" / "an admin screen" rather than a single component.
| Name | Type | Req | Description |
|---|---|---|---|
| system | string | – | Optional design system slug to filter by, e.g. "andromeda". Omit to list templates from every system. |
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.
What is the io.github.uiNerd16/aicanvas MCP server?
io.github.uiNerd16/aicanvas is an MCP server listed in the public MCP registry as io.github.uiNerd16/aicanvas. Browse and install 75+ free animated, shadcn-compatible React components from AI Canvas. This page covers its npm package (@aicanvas/mcp).
Is the io.github.uiNerd16/aicanvas MCP server safe to use?
io.github.uiNerd16/aicanvas scores 81 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.uiNerd16/aicanvas MCP server expose?
io.github.uiNerd16/aicanvas exposes 9 tools: list_categories, list_components, search_components, get_component, get_install_command, and 4 more. Their descriptions and schemas cost roughly 867 tokens of context every time the server is loaded.
Is the io.github.uiNerd16/aicanvas MCP server still maintained?
io.github.uiNerd16/aicanvas is marked deprecated in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.uiNerd16/aicanvas MCP server under?
io.github.uiNerd16/aicanvas declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.