Picsart MCP Server
OfficialProvides tools for generating images, video, and audio using Picsart's AI models across 141 models from 28 providers.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Picsart MCP Servergenerate an image of a sunset"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Picsart CLI & MCP — Docs
Public developer documentation for the Picsart gen-ai CLI, the Picsart MCP server, and drop-in Skills — generate image, video, and audio across 141 models from 28 providers, from your terminal or any AI agent. Built with VitePress.
Source of truth: this folder (
docs-site/) inside theai-toolkitrepo.Public repo: https://github.com/PicsArt/picsart-mcp-cli-docs
Live wiki (public, no Actions needed): https://github.com/PicsArt/picsart-mcp-cli-docs/wiki
Themed site (when Actions enabled): https://picsart.github.io/picsart-mcp-cli-docs/
Local development
cd docs-site
npm install
npm run dev # http://localhost:5173 (or --port 4600)
npm run build # static build → .vitepress/dist
npm run preview # preview the production buildRelated MCP server: Fal.ai MCP Server
Structure
docs-site/
.vitepress/config.ts # nav, sidebar (unified), theme
.vitepress/theme/ # Picsart brand + ModelCatalog / ProviderGrid Vue components + data/
index.md # home (hero)
guide/ # getting started + CLI / MCP / Skills + concepts
reference/ # model reference: catalog, per-mode, per-provider
providers/ # one page per vendor (28)
scripts/build-wiki.py # converts these docs → GitHub Wiki markdownData freshness
.vitepress/theme/data/{models,providers}.json are generated from the live catalog
(gen-ai models --json). Regenerate them when the catalog changes so the Model Catalog,
Providers grid, and the generated wiki tables stay accurate.
Publishing
The docs live in PicsArt/picsart-mcp-cli-docs (public). There are two delivery surfaces; keep both in sync from this docs-site/ source.
One-time / occasional: sync source to the public repo
The public repo's main mirrors this docs-site/ folder at its root. To update it:
# from a clean checkout of docs-site/ contents (root of the public repo)
git add -A && git commit -m "docs: <what changed>"
git push origin mainThe
ai-toolkitmonorepo is private; never push its history to the public repo. Only thedocs-site/contents (at the public repo root) +.github/workflows/deploy-docs.ymlbelong there.
Route A — GitHub Pages (themed, interactive)
.github/workflows/deploy-docs.yml builds and deploys on every push to main.
It derives the base path from the repo name (DOCS_BASE=/<repo>/).
Requires GitHub Actions enabled for the repo. The PicsArt org disables Actions by default, so a PicsArt org admin must allow it (org → Settings → Actions, or add the repo to the allowlist). Once enabled:
gh workflow run deploy-docs.yml --repo PicsArt/picsart-mcp-cli-docs --ref mainRoute B — GitHub Wiki (plain, no Actions) ← currently live
GitHub renders the wiki server-side, so it needs no Actions/Pages build. Plain Markdown, so the interactive catalog/provider grids become static tables.
First-page caveat: GitHub has no API to create a wiki's first page. Create one page via the web UI once (
/wiki→ "Create the first page" → Save). After that,.wiki.gitis pushable and the steps below keep it in sync.
# 1. clone the wiki (separate git repo)
git clone https://github.com/PicsArt/picsart-mcp-cli-docs.wiki.git .wiki
# 2. regenerate all wiki pages from these docs (47 pages: guide + reference + 28 providers + Home/_Sidebar/_Footer)
npm run wiki:build -- .wiki # = python3 scripts/build-wiki.py .wiki
# 3. publish
cd .wiki
git add -A && git commit -m "docs: sync wiki"
git push origin master # GitHub wikis use the 'master' branchscripts/build-wiki.py strips VitePress frontmatter, rewrites /guide and /reference
links to wiki page names, converts :::tip/warning containers to blockquotes, and replaces
the <ModelCatalog> / <ProviderGrid> components with static tables built from the data JSON.
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