AdviblyDocs

Advibly MCP documentation

Connect an AI agent to Advibly, discover its tools, and run complete creative production workflows over MCP.

Advibly is a remote Model Context Protocol server for producing branded images, videos, audio, carousels, and social campaigns. Connect once, authorise with OAuth, and your AI client can work with the brands, assets, credits, and projects attached to your Advibly account.

https://advibly.com/mcp

The server uses Streamable HTTP and OAuth 2.1. It does not require an API key.

Choose the shortest path

GoalStart here
Connect an agent for the first timeConnect over MCP
Configure a specific clientClaude, ChatGPT, Claude Code, Cursor, VS Code, or Codex
Choose or inspect a toolTool reference, then the live tools/list schema
Complete a production jobUse cases
Run a production recipeAgent skills
Automate from a terminalCLI quickstart

The MCP workflow

Connect and authorise

Point a Streamable HTTP client at https://advibly.com/mcp. The client opens Advibly's OAuth flow and stores the resulting token.

Discover the live tools

Use MCP tools/list. Tool schemas are the source of truth for arguments, defaults, supported models, and current capabilities.

Resolve account context

Start with advibly_list_brands and advibly_check_credits. Most generation tools need a real brand_id returned by the server.

Generate and collect

Generation calls wait briefly. A fast job returns completed with its result; a slower job returns pending with a generation_id. Call advibly_get_generation only when a later step needs the finished URL.

The connection is ready when advibly_list_brands returns the account's real brand ids. A production is complete when every requested deliverable is completed, collected for the user, and—when it used a project—the strongest final is set as the project cover.

What the server exposes

CapabilityMCP tools cover
Brand contextBrand onboarding, research, identity, products, and assets
GenerationImages, video, talking actors, carousels, voiceover, and music
Post-productionVideo analysis, stitching, subtitles, and composition renders
OrganisationGenerations and projects
DistributionSocial publishing, scheduling, analytics, and comment-to-DM automation

Machine-readable documentation

Every page has a markdown twin. Append .md to a docs URL, or request it with Accept: text/markdown.

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