MCP Quickstart

MCP Quickstart

Picsart AI Playground exposes the full model catalog to AI agents as Model Context Protocol tools. Connect it to Claude Code, Cursor, Windsurf, ChatGPT, or any MCP-compatible agent and it can generate image, video, and audio across 176 models directly.

Connect

The integration works natively with MCP-capable agents. Pick your path:

Agent	How to connect
Claude Code · Cursor · Windsurf	Add the gen-ai-use Skill — it plugs the CLI into the agent
Codex (OpenAI)	Install the CLI, then add the plugin codex://plugins/picsart@openai-curated
ChatGPT / any MCP client	Connect Picsart as an MCP server — see picsart.com/gen-ai-mcp for the current endpoint and config

In all cases, authenticate once with gen-ai login.

Canonical connection details

The exact, always-current MCP endpoint and per-client config live on the official page: picsart.com/gen-ai-mcp. The tool catalog and example calls below describe what the agent can do once connected.

Tool catalog

Tool	Purpose	Spends credits
picsart_list_models	Browse the catalog (filter by mode/provider)	no
picsart_model_info	Capabilities + constraints for one model	no
picsart_model_params	JSON schema of a model's accepted params	no
picsart_validate_params	Pre-check a candidate payload	no
picsart_pricing	Quote the credit cost of a call	no¹
picsart_generate	Run any model end-to-end	yes
picsart_remove_bg	Remove an image background	yes
picsart_change_bg	Replace an image background	yes
picsart_enhance	Upscale / enhance an image	yes
picsart_vectorize	Convert a raster image to SVG	yes
picsart_credits	Current credit balance	no
picsart_upload	Upload a local file to Drive	yes
picsart_drive_list / picsart_drive_folders / picsart_drive_create_folder	Browse & organize Drive	yes

¹ picsart_pricing is a dry run — it returns cost without charging, but the lookup is per-user so it needs the token.

Recommended flow

The tools are designed to chain. A typical agent sequence:

1. picsart_list_models or picsart_model_info → pick a model
2. picsart_model_params → learn its inputs
3. picsart_validate_params → pre-check the payload
4. picsart_pricing → quote the cost
5. picsart_generate → actually run it

Example calls

Generate an image:

{ "name": "picsart_generate",
  "arguments": {
    "model": "flux-2-pro",
    "prompt": "a cat in a hat, studio lighting",
    "aspectRatio": "16:9",
    "count": 1
  } }

Generate a video with model-specific params via extra:

{ "name": "picsart_generate",
  "arguments": {
    "model": "seedance-2.0",
    "prompt": "a cat skiing down a mountain",
    "duration": 8,
    "aspectRatio": "16:9",
    "generateAudio": true
  } }

Quote a cost first:

{ "name": "picsart_pricing",
  "arguments": {
    "model": "veo-3.1",
    "prompt": "a drone shot over a snowy ridge",
    "params": { "duration": 8, "resolution": "1080p" }
  } }

Task-shaped shortcuts (auto-pick a fitting model):

{ "name": "picsart_remove_bg", "arguments": { "imageUrls": ["https://example.com/photo.jpg"] } }

Inputs reference

picsart_generate takes model and prompt (required), plus common optionals: aspectRatio, resolution, duration, count (1–8), quality, style, negativePrompt, imageUrls (image-to-X), videoUrl (video-to-X), generateAudio, enhancePrompt, and extra — a free-form object for model-specific params. Discover the exact extra shape for any model with picsart_model_params.

The result includes results: [{ url, metadata? }], an id (generation handle), and one resource_link per output URL (image or video/mp4). Clients fetch assets from URLs — never base64.

More

• Model Reference — every provider's models with MCP examples
• Pricing & Credits — how cost is computed