Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

io.github.arikusi/nakkas

NPM · NAKKAS

MCP server that turns AI into an SVG artist. One rendering engine, AI decides everything.

Available components

0 this week 86 Trust /100

Last scanned (12 hours ago)

Scores higher than 90% of npm servers

Category Design and Media

Trust breakdown (7 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 → Why this is hard to score →

Supply Chain Security81
  • No malware found by supply-chain analysis.Pass
  • CVE check failed: a known high-severity CVE affects zod 3.25.76, a direct dependency. A fixed version is available. View diagnostics → Fail
  • No install/post-install scripts declared.Pass
  • 30 of 106 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to arikusi/nakkas). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 114 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability62
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1805 tokens (~601/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • 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 Coverage88
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 64% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 3 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
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.

  • 3 Nov 26 +1
    • Stability: 0.97 → pass security
  • 2 Nov 26 −1
    • Stability: pass → 0.97 functional
  • 27 Oct 26 +1
    • Stability: 0.97 → pass security
  • 26 Oct 26 −1
    • Stability: pass → 0.97 functional
  • 24 Oct 26 −5
    • CVE-2023-54404 affects this package: high ▼ security
    • Known CVEs: pass → fail ▼ security
  • 20 Oct 26 0
    • Stability: 0.97 → pass security
  • 19 Oct 26 0
    • Stability: pass → 0.97 functional
  • 17 Oct 26 +2
    • Stability: 0.87 → pass security
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 5 Nov 2026 · Analysed npm/nakkas@0.5.0

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem npm
Reason Verified
Discovered via Registry attestation endpoint
Source repo arikusi/nakkas
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/arikusi/nakkas/.github/workflows/publish.yml@refs/tags/v0.5.0
Rekor log index 2163065844
Predicate type SLSA build provenance https://slsa.dev/provenance/v1
Subject digest sha512:8c523ffba69b3b3cbb0f3ac90448cb2bc33b933bbcadbac3543f7a069a2d1bbbf86826c30ca2d76901e2d95840ed4c8a6b16ff1747e6312f97a013260

Background: How many MCP packages publish verified provenance →

Vulnerabilities 1 finding
ID CVE Severity Vector Fix available
GHSA-mrhx-c7xc-m3w5 CVE-2023-54404 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 106 packages
Packages resolved 106
Stale 30
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 3 exposed · ~1,805 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. 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 →

Tool Tokens
preview ~282

Render SVG content to a PNG image so the AI can visually inspect the output. **When to use:** - render_svg already returns a preview image by default; call this tool to re-preview a stored artifact at a different width, or to preview SVG that did not come from render_svg - Stop iterating when the visual result matches the intent **Input:** pass EITHER artifact (id from render_svg, e.g. "art-1" — preferred, no SVG resend) OR content (raw SVG string). **Behavior:** - Returns a PNG image (base64) rendered from the SVG - Background is transparent by default - CSS animations and SMIL are rendered as a static snapshot (t=0) — motion is not captured **Width:** - Omit width to use the SVG's own declared width/viewBox - Pass width to scale the output (useful for small SVGs that need a larger preview)

NameTypeReqDescription
artifactstring–Artifact id returned by render_svg (e.g. "art-1"). Preferred over content.
contentstring–SVG string to render as PNG. Only needed when no artifact id exists.
formatstring–Content format; auto-detected from content if omitted
widthnumber–Render width in pixels; defaults to SVG's own declared width

No output schema declared.

No examples provided.

render_svg ~1,128

Render animated SVG from JSON config. AI controls all design parameters. **Workflow:** render_svg returns a PNG preview of the result plus an artifact id — critique the image, revise the config, render again. Iterate at least 3 times before finalizing. The SVG text stays on the server: pass the artifact id to save (and to preview for a different width). **output options (response shape, not content):** {"svg":false,"preview":true,"previewWidth":800,"minify":false,"frames":4} — all optional. minify:true collapses whitespace in the stored/saved SVG. frames:N (2-10) replaces the static preview with one filmstrip image sampling the CSS animations at N times — use it to verify motion (rotation direction, timing, easing) since a single preview only shows t=0. SMIL is not sampled. **Element types:** rect, circle, ellipse, line, polyline, polygon, path, image, text, textPath, group, use, radial-group, arc-group, grid-group, scatter-group, path-group, parametric **Pattern groups** (use for repetitive designs): radial-group (circular: cx, cy, radius, count), arc-group (arc: cx, cy, radius, count, startAngle, endAngle), grid-group (matrix: cols, rows, colSpacing, rowSpacing), scatter-group (random: width, height, count, seed), path-group (along polyline: waypoints, count). Each takes ONE "child" element. The child is drawn at the local origin and, with rotateChildren true (the default), rotates so local +x points outward from the center: draw spokes, rays and petals long along the x axis, never the y axis, or they render as a chord ring. **Parametric curves** (fn field): rose, heart, lissajous, spiral, star, superformula, epitrochoid, hypotrochoid, wave. Size via "scale" field. Server computes coordinates. **defs:** gradients (linear/radial, SMIL animated stops), filters (presets: glow, neon, blur, drop-shadow, glitch, chromatic-aberration, noise, outline, inner-shadow, emboss + 5 more), clipPaths, masks, patterns (tile fills), markers (arrowheads: triangle, arrow, circ…

NameTypeReqDescription
animationsarray––
canvasobjectyes–
defsobject––
elementsarrayyes–
outputobject––

No output schema declared.

No examples provided.

save ~395

Save rendered content to disk. Format-aware: can save as text or render to raster image. IMPORTANT: Use this only AFTER iterating on the design with render_svg's preview images. Do not save on the first render. Preview and refine your work first. **Input:** pass EITHER artifact (id from render_svg, e.g. "art-1" — preferred, no SVG resend) OR content (raw string). **Format detection:** - 'auto' (default): infers format from file extension. .svg saves as text, .png renders to image. - 'svg': saves content as a UTF-8 text file - 'png': renders the content (assumed SVG) to a PNG image, then saves it If the file already exists, a numeric counter is appended before the extension to prevent overwriting: design.svg becomes design-1.svg, then design-2.svg. The actual saved path is returned in the response.

NameTypeReqDescription
artifactstring–Artifact id returned by render_svg (e.g. "art-1"). Preferred over content.
contentstring–Raw content to save. Only needed when the content did not come from render_svg.
formatstring–Output format. 'auto' infers from file extension (.svg saves as text, .png renders to image). 'svg' saves content as a UTF-8 text file. 'png' renders SVG content to a PNG image before saving.
outputPathstringyesFile path to save to. The directory must already exist. If the file already exists, a numeric counter is appended before the extension: design.svg becomes design-1.svg, then design-2.svg, and so on.…
widthnumber–For raster formats (png): render width in pixels. Defaults to the source content's own declared dimensions.

No output schema declared.

No examples provided.

Install

How do I install the io.github.arikusi/nakkas MCP server?

io.github.arikusi/nakkas runs locally as an npm package, launched with npx -y nakkas. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · nakkas

# add to Claude Code
claude mcp add arikusi-nakkas -- npx -y nakkas
Common questions

What is the io.github.arikusi/nakkas MCP server?

io.github.arikusi/nakkas is an MCP server listed in the public MCP registry as io.github.arikusi/nakkas. MCP server that turns AI into an SVG artist. One rendering engine, AI decides everything. This page covers its npm package (nakkas).

Is the io.github.arikusi/nakkas MCP server safe to use?

io.github.arikusi/nakkas scores 86 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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.arikusi/nakkas MCP server expose?

io.github.arikusi/nakkas exposes 3 tools: render_svg, preview, save. Their descriptions and schemas cost roughly 1,805 tokens of context every time the server is loaded.

Is the io.github.arikusi/nakkas MCP server still maintained?

io.github.arikusi/nakkas is still listed as active in the MCP registry. We last reached this channel on 5 November 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.arikusi/nakkas MCP server under?

io.github.arikusi/nakkas declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.