# io.github.uiNerd16/aicanvas (npm · @aicanvas/mcp)

Browse and install 75+ free animated, shadcn-compatible React components from AI Canvas.

- Trust score: 69/100 (medium)
- Change this week: +23
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@aicanvas/mcp`: 69/100 (this document), [markdown](https://verifymcp.io/servers/uinerd16-aicanvas/aicanvas-mcp.md), [page](https://verifymcp.io/servers/uinerd16-aicanvas/aicanvas-mcp)

## Channel facts

- Registry: `npm`
- Package: `@aicanvas/mcp`
- Version: `0.2.2`
- Transport: `stdio`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 25 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 77/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 758 tokens (~94/item across 8 items; 8 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 23/100
  - Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add uinerd16-aicanvas -- npx -y @aicanvas/mcp
```

### Codex

```bash
codex mcp add uinerd16-aicanvas -- npx -y @aicanvas/mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "uinerd16-aicanvas": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@aicanvas/mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add uinerd16-aicanvas --command npx --arg -y --arg @aicanvas/mcp
```

### Hermes

```yaml
mcp_servers:
  uinerd16-aicanvas:
    command: "npx"
    args: ["-y", "@aicanvas/mcp"]
```

### Other

```json
{
  "mcpServers": {
    "uinerd16-aicanvas": {
      "command": "npx",
      "args": [
        "-y",
        "@aicanvas/mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 69, +33)

- [security regression] Provenance: unverified → fail
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Install scripts: unverified → pass
- [functional regression] Security disclosure: fail → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional improvement] Schema quality: unverified → excellent
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Stability: unverified → 0.20
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional] First check of Schema quality: unverified
- [functional] Licence: MIT

### 2026-08-01 (score 36, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-07-31 (score 21, −25)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-27 (score 46)

First indexed and scored.

## MCP tools (8)

### `list_categories` (~46 tokens)

List AI Canvas categories

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?"

### `list_components` (~152 tokens)

List AI Canvas components

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`.

Input parameters:

- `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.

### `search_components` (~115 tokens)

Search AI Canvas components

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.

Input parameters:

- `limit` (integer): Max number of matches to return. Default 10.
- `query` (string, required): Free-text search query. Multiple words are tokenized and matched independently.

### `get_component` (~108 tokens)

Get an AI Canvas component (full metadata + source code)

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.

Input parameters:

- `slug` (string, required): The component slug, e.g. "ai-job-cards", "wave-lines", "halo-type". Use exact slugs from list/search results.

### `get_install_command` (~100 tokens)

Get the AI Canvas install command for a component

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.

Input parameters:

- `slug` (string, required): The component slug, e.g. "ai-job-cards".

### `list_systems` (~61 tokens)

List AI Canvas design systems

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.

### `get_system` (~80 tokens)

Get a complete AI Canvas design system (every file)

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.

Input parameters:

- `slug` (string, required): Design system slug, e.g. "andromeda". Use `list_systems` to discover.

### `get_template` (~96 tokens)

Get a complete AI Canvas design-system template (every file)

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.

Input parameters:

- `slug` (string, required): Template slug, e.g. "andromeda-mission-control", "andromeda-exchange-terminal". Use `list_systems` then inspect templateSlugs to discover.

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/uinerd16-aicanvas/aicanvas-mcp#diagnostics

## Score history

- 2026-08-03: 69
- 2026-08-02: 69
- 2026-08-01: 36
- 2026-07-31: 21
- 2026-07-30: 46
- 2026-07-28: 46
- 2026-07-27: 46

## Links

- npm package: https://www.npmjs.com/package/@aicanvas/mcp
- Socket report: https://socket.dev/npm/package/@aicanvas/mcp
- Repository: https://github.com/uiNerd16/aicanvas
- Website: https://aicanvas.me/
- Changelog RSS feed: https://verifymcp.io/servers/uinerd16-aicanvas/aicanvas-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/uinerd16-aicanvas/aicanvas-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/uinerd16-aicanvas/aicanvas-mcp