Orbixio Studio

Orbixio Studio

MCP server for generating and managing YouTube video scripts with human-in-the-loop approval.

Category
Visit Server

README

Orbixio Studio

MCP-native video script generation platform. Generate structured YouTube scripts through Claude Desktop (or any MCP client), review them, and approve before any downstream work begins.

Built as a TypeScript monorepo. No microservices, no workflow engines — just functions.

What it does today (v0)

  • 6 MCP tools exposed over stdio: list_channels, get_channel, generate_script, review_script, approve_script, reject_script
  • Structured script output validated by zod: hooks, 5 tool entries with honest caveats, CTAs, YouTube metadata
  • Human-in-the-loop: scripts must be explicitly approved before any video work begins
  • Multi-tenant ready: every row is scoped to a userId (single-user via env var for now)

Prerequisites

  • Node.js 20+
  • pnpm 9+
  • PostgreSQL (local instance or Neon)
  • Anthropic API key

Quick Start (< 10 minutes)

1. Clone and install

git clone https://github.com/AhmedAliQadit/orbixio-studio.git
cd orbixio-studio
pnpm install

2. Configure environment

cp .env.example .env

Edit .env with your values:

DATABASE_URL="postgresql://user:password@localhost:5432/orbixio_studio"
ANTHROPIC_API_KEY="sk-ant-..."
ORBIXIO_USER_ID="cldev000000000000000000"

3. Set up the database

# Create the database first (if local Postgres)
createdb orbixio_studio

# Run migrations
pnpm db:migrate

# Seed demo data
pnpm db:seed

4. Build all packages

pnpm build

5. Connect Claude Desktop

Add this to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "orbixio-studio": {
      "command": "node",
      "args": ["C:/ABSOLUTE/PATH/TO/orbixio-studio/packages/mcp-server/dist/index.js"],
      "env": {
        "DATABASE_URL": "postgresql://user:password@localhost:5432/orbixio_studio",
        "ANTHROPIC_API_KEY": "sk-ant-...",
        "ORBIXIO_USER_ID": "cldev000000000000000000"
      }
    }
  }
}

Replace C:/ABSOLUTE/PATH/TO with the actual path to your clone.

6. Test it

Restart Claude Desktop. You should see "orbixio-studio" in the MCP servers list. Try:

"List my channels, then generate a script about writing sales emails for the first channel."

Claude will call list_channels, then generate_script, and return a structured draft script for your review.

Project Structure

packages/
  db/            Prisma schema, client, seed
  core/          Pipeline logic (LLM provider, script generator, schemas)
  mcp-server/    MCP server wrapping core over stdio
apps/
  web/           Stubbed Next.js app (not implemented yet)

Scripts

Command Description
pnpm build Build all packages
pnpm test Run all unit tests
pnpm test:smoke Run end-to-end smoke test
pnpm db:migrate Run Prisma migrations
pnpm db:seed Seed demo data
pnpm lint Lint with Biome

Stack

TypeScript, Prisma, PostgreSQL, @modelcontextprotocol/sdk, @anthropic-ai/sdk, zod, pino, vitest, Biome, pnpm workspaces.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured