# io.github.gluip/chart-canvas (npm · @gluip/chart-canvas-mcp)

Create interactive visualizations and query data sources (SQLite, CSV, Parquet, JSON)

- Trust score: 63/100 (medium)
- Change this week: +17
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@gluip/chart-canvas-mcp`: 63/100 (this document), [markdown](https://verifymcp.io/servers/gluip-chart-canvas/gluip-chart-canvas-mcp.md), [page](https://verifymcp.io/servers/gluip-chart-canvas/gluip-chart-canvas-mcp)

## Channel facts

- Registry: `npm`
- Package: `@gluip/chart-canvas-mcp`
- Version: `0.3.2`
- 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 (142 of 144), 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 (142 of 144), 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 85 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 66/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 605 tokens (~86/item across 7 items; 7 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **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.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### Claude

```bash
claude mcp add gluip-chart-canvas -- npx -y @gluip/chart-canvas-mcp
```

### Codex

```bash
codex mcp add gluip-chart-canvas -- npx -y @gluip/chart-canvas-mcp
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add gluip-chart-canvas --command npx --arg -y --arg @gluip/chart-canvas-mcp
```

### Hermes

```yaml
mcp_servers:
  gluip-chart-canvas:
    command: "npx"
    args: ["-y", "@gluip/chart-canvas-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "gluip-chart-canvas": {
      "command": "npx",
      "args": [
        "-y",
        "@gluip/chart-canvas-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 63, +4)

- [security regression] Known CVEs: partial → unverified
- [security regression] Malware scan: pass → unverified
- [security] Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.
- [functional regression] Security disclosure: fail → unverified
- [functional regression] Capabilities: pass → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional regression] Dependency health: partial → unverified
- [functional improvement] Schema quality: unverified → good
- [functional] First check of Schema quality: unverified

### 2026-08-01 (score 59, +33)

- [security regression] Provenance: unverified → fail
- [security improvement] Malware scan: unverified → pass
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional] Licence: MIT

### 2026-07-31 (score 26, −2)

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

### 2026-07-30 (score 28, −18)

- [security regression] Malware scan: pass → unverified

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

First indexed and scored.

## MCP tools (7)

### `addVisualization` (~130 tokens)

Add a new chart visualization to the canvas

Input parameters:

- `description` (string): Optional description or explanation for the chart
- `mermaid` (string): Mermaid diagram syntax (required for flowchart type)
- `series` (array): Array of data series to display (required for charts)
- `table` (object): Table data (required for table type)
- `title` (string): Optional title for the chart
- `type` (string, required): Type of visualization to create
- `xLabels` (array): Optional labels for the x-axis (e.g., dates). Should match the number of data points.

### `removeVisualization` (~30 tokens)

Remove a visualization from the canvas by ID

Input parameters:

- `id` (string, required): ID of the visualization to remove

### `updateVisualization` (~118 tokens)

Update an existing visualization on the canvas. You can change its data, title, description, or any other property.

Input parameters:

- `description` (string): Updated description
- `id` (string, required): ID of the visualization to update
- `mermaid` (string): Updated Mermaid diagram syntax
- `series` (array): Updated data series for charts
- `table` (object): Updated table data
- `title` (string): Updated title
- `type` (string): Type of visualization
- `xLabels` (array): Updated x-axis labels

### `clearCanvas` (~16 tokens)

Remove all visualizations from the canvas

### `showCanvas` (~20 tokens)

Open the canvas in a browser window to view visualizations

### `getDatabaseSchema` (~95 tokens)

Get the schema of a data source (SQLite database, CSV, Parquet, or JSON file) including all tables/columns. Use this to understand the data structure before writing queries.

Input parameters:

- `databasePath` (string, required): Path to the data file. Supported formats: SQLite (.db, .sqlite, .sqlite3), CSV (.csv), Parquet (.parquet), JSON (.json, .jsonl, .ndjson)

### `queryAndVisualize` (~196 tokens)

Execute a SQL query on a data source (SQLite, CSV, Parquet, or JSON file) and create a visualization from the results. The query must be read-only (SELECT only). You must specify how to map columns to the visualization.

Input parameters:

- `columnMapping` (object): Mapping of query result columns to chart axes. Not required for table type.
- `databasePath` (string, required): Path to the data file (SQLite, CSV, Parquet, JSON)
- `description` (string): Optional description for the visualization
- `query` (string, required): SQL SELECT query to execute (read-only, max 10000 rows)
- `title` (string): Optional title for the visualization
- `useColumnAsXLabel` (boolean): If true, use the xColumn values as labels instead of numeric values (useful for dates/categories)
- `visualizationType` (string, required): Type of visualization to create from the query results

## Diagnostics

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

## Score history

- 2026-08-03: 63
- 2026-08-02: 63
- 2026-08-01: 59
- 2026-07-31: 26
- 2026-07-30: 28
- 2026-07-28: 46
- 2026-07-27: 46

## Links

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