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Visant Mcp Connect

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pedrojaques99
visant-mcp-connect

Connects and operates the Visant Labs MCP (requires a Visant Labs account): brand guidelines, mockups, creative studio, canvas, budgets, moodboard, PDF extraction. Use on "connect visant", "use the visant tools", "setup visant mcp", "conecta o visant", "usar as tools do visant", "extrair PDF pelo visant".

Overview

Publisherpedrojaques99
Repositoryvisant-skills-public
Skill namevisant-mcp-connect
Stars
81
Forks
1
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by pedrojaques99 on GitHub. Read the source before you install it.

Installation

Install the Visant Mcp Connect AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/pedrojaques99/visant-skills-public/tree/main/visant-mcp-connect
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/pedrojaques99/visant-skills-public.git /tmp/visant-skills-public
mkdir -p .claude/skills
cp -r /tmp/visant-skills-public/visant-mcp-connect .claude/skills/visant-mcp-connect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Visant Mcp Connect in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Visant Mcp Connect on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Visant Mcp Connect is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Visant Labs MCP

Requires a Visant Labs account (visantlabs.com). Without one, none of these tools work: there is no anonymous mode. Generation tools also spend the account's credits.

API: https://api.visantlabs.com MCP: https://api.visantlabs.com/api/mcp Auth: OAuth 2.1 + PKCE (dynamic client registration) or API key (visant_sk_...)


Connect (Claude-first flow)

Step 1: check for existing credentials

bash
cat ~/.visant/credentials.json

If it exists and has apiKey, skip to Step 3.

Step 2: authenticate

Ask the user for their Visant Labs email and password, then run:

bash
npx visantlabs login -e EMAIL -p PASSWORD

This saves ~/.visant/credentials.json with the permanent apiKey (visant_sk_...).

Step 3: configure the MCP (global, any directory)

bash
claude mcp add --transport http \
  --header "Authorization: Bearer <apiKey>" \
  --scope user \
  visant https://api.visantlabs.com/api/mcp

Do not use mcpServers in settings.json or mcp-remote: the server speaks Streamable HTTP directly.

Step 4: verify

bash
claude mcp list
# should show: visant: https://api.visantlabs.com/api/mcp (HTTP) - ✓ Connected

The tools show up with the mcp__visant__ prefix in the next session.


Available tools (~50)

Account & Auth

ToolWhat it does
account-profileUser profile (name, email, plan)
account-usageRemaining credits, limits, billing cycle
auth-loginEmail/password login → JWT
auth-registerCreate account → JWT
api-key-createGenerate a visant_sk_xxx API key
api-key-listList existing API keys

Brand Guidelines (16 tools)

ToolWhat it does
brand-guidelines-listList all brand guidelines
brand-guidelines-getFull data (JSON, or format:"prompt" for LLM-ready text)
brand-guidelines-createCreate a new guideline
brand-guidelines-updatePartial patch (colors, typography, strategy, tokens)
brand-guidelines-deleteDelete (requires confirm: true)
brand-guidelines-duplicateDuplicate a guideline
brand-guidelines-shareCreate/revoke a public link
brand-guidelines-publicAccess by slug (no auth)
brand-guidelines-ingestExtract from URL/text and merge into the guideline
brand-guidelines-compliance-checkAI audit (contrast, typography, voice, completeness)
brand-guidelines-versionsVersion history
brand-guidelines-restore-versionRestore a previous version
brand-guidelines-upload-logoUpload logo (base64/URL, variants: primary/dark/light/icon)
brand-guidelines-upload-mediaUpload media kit (image/PDF)
brand-guidelines-delete-logoDelete logo by ID
brand-guidelines-delete-mediaDelete media by ID

Branding Machine (5 tools)

ToolWhat it does
branding-generateGenerate a visual identity from a prompt (steps: full/market-research/swot/persona/archetype/concept-ideas/color-palettes/moodboard). Follows visant-methodology
branding-listList branding projects
branding-getProject details
branding-saveSave/update a project
branding-deleteDelete a project

Mockup Machine (5 tools)

ToolWhat it does
mockup-generateGenerate an AI mockup. Models: gpt-image-2 (best), gemini-3.1-flash-image-preview, seedream-3-0. Resolutions: 1K/2K/4K. Aspect ratios: 1:1/16:9/9:16/4:5. Auto-injects brand context via brandGuidelineId.
mockup-listList mockups
mockup-getMockup details
mockup-updateUpdate metadata
mockup-deleteDelete
mockup-presetsPresets by category (business-card, social-media, packaging, apparel, etc.)

Creative Studio (8 tools)

ToolWhat it does
creative-fullFull pipeline: plan → background → render PNG → save. One shot.
creative-generateGenerate a structured layout (layers, overlay, background prompt)
creative-renderRender a plan to PNG server-side
creative-projects-createSave a creative project
creative-projects-listList projects
creative-projects-getProject details
creative-projects-updateUpdate a project
creative-projects-deleteDelete a project

Canvas / Whiteboard (8 tools)

ToolWhat it does
canvas-createCreate a whiteboard
canvas-listList projects
canvas-list-projectsList with a summary of node types
canvas-getDetails (nodes, edges, drawings)
canvas-updateUpdate nodes/edges/linkedGuideline
canvas-deleteDelete
canvas-shareShare (canEdit/canView by email)
canvas-parse-csvPreview CSV → DataNode rows
canvas-resolve-variablesResolve {{placeholders}} in a prompt

Budget (6 tools)

ToolWhat it does
budget-createCreate a budget (clientName, projectDescription)
budget-listList budgets
budget-getDetails with line items
budget-updateUpdate fields
budget-deleteDelete
budget-duplicateDuplicate

AI Utilities (free)

ToolWhat it does
ai-describe-imageDescribe an image (URL or base64). 0 credits.
ai-improve-promptImprove prompt text. 0 credits.

House rule: a generated prompt is a saved prompt. Every call to ai-generate-image / creative-generate / mockup-generate / video-generate goes to the project's prompts.jsonl ledger: one line per call, with model/params, refs with each one's role, sha256 of the output, status (approved/discarded), cost, and a note on what went wrong for discarded ones. Record it on the spot: it cannot be recovered later. If visant-mockup-creator is installed, the contract is in its references/prompt-ledger.md.

Document & Image Extraction

ToolWhat it does
document-extractDual mode, see "Document Extract" below. URL mode pulls HD images from any public page; PDF mode turns a PDF into markdown + brand tokens.

Moodboard (3 tools)

ToolWhat it does
moodboard-detect-gridDetect bounding boxes in a moodboard grid
moodboard-suggestSuggest animations/video for each cell
moodboard-upscaleUpscale an image to 1K/2K/4K. ⚠ Unstable: returned INTERNAL_ERROR on 3/3 calls in Aug 2026. See "When a tool goes down".

Community (2 tools)

ToolWhat it does
community-presetsBrowse public mockup presets
community-profilesBrowse community profiles

When a tool goes down

MCP tools break, and the right response is never to insist or to pretend the result came out:

  1. Two attempts, no more. Repeated INTERNAL_ERROR is the server, not the payload; a third try only burns time.
  2. Use the alternative and say which one. Never swap silently: whoever reads the result needs to know which path it came through.
  3. Report the breakage in the work's .md, with the date and the exact message.
If it failsAlternative
moodboard-upscaleLook for the high-res ORIGINAL before upscaling: it almost always exists and nobody looked (run [[visant-preflight]]). Upscaling is plan B; upscaling without searching for the original is plan C dressed as plan A.
ai-generate-image falls back to the wrong modelThe response carries fellBack: true and the real model. Read the response: asking for gemini and getting gpt-image-1 changes the result and the cost.
brand-guidelines-health-checkDo not trust it; confirm with brand-guidelines-get. It has reported an empty vault on a full one.
Local file uploadvisant upload <file> --json via the CLI, or a presigned URL (media-upload-urls + curl -X PUT + media-commit). Inline base64 truncates and uploads a corrupted image.

Document Extract (dual mode)

Mode 1: image extraction from a URL

json
{ "url": "https://www.behance.net/gallery/...", "limit": 80 }

Returns image URLs with width, height and alt text (limit max 200). Works with Behance, Pinterest, Dribbble, portfolios, blogs. Handles lazy-loaded images, srcset and background images. Scope: read.

Mode 2: PDF extraction

json
{ "pdf_base64": "<base64>", "output": "inline", "include_brand_tokens": true }

Also accepts pdf_path for files on the server. output: "disk" saves a .md, "inline" returns text. include_brand_tokens: true extracts colors, typography and strategy (two phases: algorithmic + Gemini).


Expired token / 401

bash
cat ~/.visant/credentials.json   # take .apiKey

Update the Bearer in the MCP config and restart the session. If the file does not exist: npx visantlabs login.


Usage tips

  • Brand context in generation: pass brandGuidelineId to mockup-generate, creative-full and creative-generate to inject colors/typography/voice.
  • format: "prompt" on brand-guidelines-get returns text optimized for LLM context, not JSON.
  • creative-full is the shortcut: it avoids chaining generate + mockup-generate
    • render by hand.
  • Credits: account-usage shows the balance. AI utilities (describe-image, improve-prompt) are free.
  • Scopes: OAuth tokens enforce read, write, generate; generation tools need generate.

Neighbors

  • [[visant-brand-populate]]: fill a new brand
  • [[visant-brand-sync]]: reconcile an existing brand
  • [[visant-methodology]]: the method behind the fields
  • [[visant-creative]]: social and marketing pieces
  • [[brand-mockup-kit]]: a batch of mockups for a brand
  • [[visant-mockup-creator]]: new scene photos for the store

Frequently asked questions

What does the Visant Mcp Connect AI skill do?

Connects and operates the Visant Labs MCP (requires a Visant Labs account): brand guidelines, mockups, creative studio, canvas, budgets, moodboard, PDF extraction. Use on "connect visant", "use the visant tools", "setup visant mcp", "conecta o visant", "usar as tools do visant", "extrair PDF pelo visant".

Why use Visant Mcp Connect on TypingMind?

Because you install it once and use it with any model. Visant Mcp Connect is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Visant Mcp Connect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pedrojaques99/visant-skills-public/tree/main/visant-mcp-connect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Visant Mcp Connect?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Visant Mcp Connect?

As many as you like. As long as a model supports skills, you can use Visant Mcp Connect with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Visant Mcp Connect AI skill free?

Yes. It is published on GitHub by pedrojaques99 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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