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io.github.gluip/chart-canvas

NPM · @GLUIP/CHART-CANVAS-MCP · SCANNED AUG 3

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

+17 this week 63 Trust /100
Trust breakdown (6 categories)

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 (142 of 144), 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 (142 of 144), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability66
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 605 tokens (~86/item across 7 items; 7 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
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

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

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 · @gluip/chart-canvas-mcp

# add to Claude Code
claude mcp add gluip-chart-canvas -- npx -y @gluip/chart-canvas-mcp
# add to Codex CLI
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
    }
  }
}
# add to OpenClaw
openclaw mcp add gluip-chart-canvas --command npx --arg -y --arg @gluip/chart-canvas-mcp
# ~/.hermes/config.yaml
mcp_servers:
  gluip-chart-canvas:
    command: "npx"
    args: ["-y", "@gluip/chart-canvas-mcp"]
// mcp.json
{
  "mcpServers": {
    "gluip-chart-canvas": {
      "command": "npx",
      "args": [
        "-y",
        "@gluip/chart-canvas-mcp"
      ]
    }
  }
}
Changelog

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 +4
    • Known CVEs: partial → unverified security
    • 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. security
    • Security disclosure: fail → unverified functional
    • Capabilities: pass → unverified functional
    • Tool coverage: 100 → unverified functional
    • Dependency health: partial → unverified functional
    • Schema quality: unverified → good functional
    • First check of Schema quality: unverified functional
  • 1 Aug 26 +33
    • Provenance: unverified → fail security
    • Malware scan: unverified → pass security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • License: unverified → pass functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • Licence: MIT functional
  • 31 Jul 26 −2
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 −18
    • Malware scan: pass → unverified security
  • 27 Jul 26 46

    First indexed and scored.

Diagnostics

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/@gluip/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 142 packages

142 packages in the resolved dependency tree · 142 deprecated · 38 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 7 exposed · ~605 tokens

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.

Tool Tokens
addVisualization ~130

Add a new chart visualization to the canvas

NameTypeReqDescription
descriptionstringOptional description or explanation for the chart
mermaidstringMermaid diagram syntax (required for flowchart type)
seriesarrayArray of data series to display (required for charts)
tableobjectTable data (required for table type)
titlestringOptional title for the chart
typestringyesType of visualization to create
xLabelsarrayOptional labels for the x-axis (e.g., dates). Should match the number of data points.

No output schema declared.

No examples provided.

clearCanvas ~16

Remove all visualizations from the canvas

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

getDatabaseSchema ~95

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.

NameTypeReqDescription
databasePathstringyesPath to the data file. Supported formats: SQLite (.db, .sqlite, .sqlite3), CSV (.csv), Parquet (.parquet), JSON (.json, .jsonl, .ndjson)

No output schema declared.

No examples provided.

queryAndVisualize ~196

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.

NameTypeReqDescription
columnMappingobjectMapping of query result columns to chart axes. Not required for table type.
databasePathstringyesPath to the data file (SQLite, CSV, Parquet, JSON)
descriptionstringOptional description for the visualization
querystringyesSQL SELECT query to execute (read-only, max 10000 rows)
titlestringOptional title for the visualization
useColumnAsXLabelbooleanIf true, use the xColumn values as labels instead of numeric values (useful for dates/categories)
visualizationTypestringyesType of visualization to create from the query results

No output schema declared.

No examples provided.

removeVisualization ~30

Remove a visualization from the canvas by ID

NameTypeReqDescription
idstringyesID of the visualization to remove

No output schema declared.

No examples provided.

showCanvas ~20

Open the canvas in a browser window to view visualizations

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

updateVisualization ~118

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

NameTypeReqDescription
descriptionstringUpdated description
idstringyesID of the visualization to update
mermaidstringUpdated Mermaid diagram syntax
seriesarrayUpdated data series for charts
tableobjectUpdated table data
titlestringUpdated title
typestringType of visualization
xLabelsarrayUpdated x-axis labels

No output schema declared.

No examples provided.