PrePilot MCP Server
Enables AI clients to compose and execute marketing campaigns by mapping free-form intent to a deterministic plan of over 1,000 production-tested skills, supporting multiple workflows across paid ads, SEO, content, and more.
README
PrePilot — AI Marketing Agency Suite
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MCP-first, multi-agent orchestration platform for marketing agencies.
Turn intent into a deterministic skill composition plan — across 1,000+ marketing skills, in any language, for any workflow.
Website · Live Demo · Documentation
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✨ What is PrePilot?
PrePilot is an open-source marketing agency in a box. It exposes a deterministic orchestration layer that maps free-form marketing intent (Arabic, English, mixed) to a runnable plan — composed from a catalog of 1,000+ production-tested skills, wired through the Model Context Protocol (MCP) so any AI client (Claude Code, Cursor, Custom GPT, Codex, Gemini CLI) can plug in and ship campaigns end-to-end.
┌─────────────────────────────────────────────────────────────────┐
│ AI Client (Claude Code · Cursor · Custom GPT · Codex · Gemini) │
└──────────────────────────────┬──────────────────────────────────┘
│ MCP / SSE / Custom GPT Actions
▼
┌──────────────────────────────────────────────────────────────────┐
│ PrePilot MCP Server │
│ ─────────────────────────────────────────────────────────────── │
│ • Intent router → 13 canonical workflows (paid, SEO, ...) │
│ • Skill catalog → 1,040 skills mapped to taxonomy │
│ • Swarm compiler → agents.py + manifest.json + workflow │
│ • Engagement engine→ role → artifact → role → artifact ... │
└──────────────────────────────┬──────────────────────────────────┘
│
▼
┌──────────────────────────────────────────────────────────────────┐
│ Compiled Agent Runtime │
│ • 1,700+ pre-built agents (worker · coordinator · critic) │
│ • 4 topology modes (pipeline · parallel · hierarchical) │
│ • Append-only memory (rules · episodes · agency data) │
└──────────────────────────────────────────────────────────────────┘
🚀 Quick Start
git clone https://github.com/imMamdouhaboammar/PrePilot-oss.git
cd PrePilot-oss
pip install -e ".[dev]"
# Start the sample MCP server
python examples/mcp-server/server.py
# Wire it into Claude Code
claude mcp add prepilot-sample -- python examples/mcp-server/server.py
Then in your AI client:
You: Launch a paid Meta campaign for my DTC skincare brand in Saudi.
PrePilot: I'll run the `launch_paid_ad_campaign` workflow.
[step 1/6] audience research (geo-fundamentals + market-segments)
[step 2/6] brand voice capture (brand-voice-guide)
...
[step 6/6] ad creative generation (ad-copy + ad-creative-brief)
✓ Plan ready. Estimated cost: SAR 12,000.
🎯 Who is PrePilot for?
| You are... | PrePilot helps you... |
|---|---|
| Marketing agency owner | Run 10× the campaigns with the same headcount |
| Brand marketer | Get a senior strategist + executor pair on demand |
| Marketing ops engineer | Stop building one-off campaign scripts — compose from tested skills |
| Indie hacker | Ship a full GTM playbook in an afternoon |
| AI client developer | Plug into 1,000+ production skills without writing them yourself |
📦 What's in this repo
PrePilot-oss/
├── README.md ← you are here
├── LICENSE ← MIT
├── CONTRIBUTING.md ← how to add your skill
├── CODE_OF_CONDUCT.md
├── docs/
│ ├── ARCHITECTURE.md ← how PrePilot works end-to-end
│ ├── MCP_INTEGRATION.md ← wire into Claude / Cursor / GPT
│ ├── SKILLS_GUIDE.md ← anatomy of a skill
│ └── ROADMAP.md ← what's next
├── examples/
│ ├── mcp-server/ ← runnable MCP server skeleton
│ ├── chatkit-widgets/ ← sample ChatKit widgets for GPT apps
│ └── skills/ ← 25 sample skills (canonical taxonomy)
├── src/
│ └── compiled_agents/ ← 25 sample agents (worker + coordinator)
├── templates/
│ ├── SKILL.template.md
│ ├── WORKFLOW.template.md
│ ├── PROMPTS.template.md
│ ├── skill.yaml
│ ├── input.schema.json
│ └── output.schema.json
├── assets/
│ └── (logos, diagrams)
├── pyproject.toml
└── .github/ ← issue templates + CI workflows
🧠 Architecture in 30 seconds
- User intent arrives ("launch paid Meta campaign in Saudi")
- Intent router classifies it:
language=en,workstream=paid_ad,complexity=multi_step - System layer recommends the matching workflow (
launch_paid_ad_campaign) - Workflow materializes into ordered steps with skill IDs injected
- Each skill compiles into an
agent.py+manifest.json(deterministic codegen, no LLM in the loop) - Swarm executes in the chosen topology (pipeline / parallel / hierarchical / DAG)
- Engagement engine validates each artifact contract before handoff to the next role
- Memory accumulates — episodic archive, rule inbox, agency decisions
For the deep dive, see docs/ARCHITECTURE.md.
🔌 MCP Integration
PrePilot is MCP-native. Any MCP-compatible client (Claude Code, Cursor, Codex, Gemini CLI, ChatGPT with MCP support, etc.) can plug in directly.
| Transport | Use when |
|---|---|
| stdio | Local AI client (Claude Code on your machine) — recommended |
| SSE/HTTP | Remote AI client (Cloud Run deploy, ChatGPT widget, public MCP gateway) |
| Custom GPT Actions | OpenAI Apps SDK with the OpenAPI schema exported from this repo |
Full wiring instructions in docs/MCP_INTEGRATION.md.
🧩 Skills Catalog (this repo ships 25 of 1,040)
The full catalog lives in the private production deployment. This OSS repo ships 25 representative skills spanning every major marketing domain — enough to compose any workflow and to demonstrate the skill authoring pattern.
| Domain | Sample skill |
|---|---|
| Paid acquisition | ad-copy, ad-creative-brief, landing-page-architect |
| SEO / AEO / GEO | seo-technical, geo-fundamentals, programmatic-seo-content |
| Brand & voice | brand-voice-guide, value-prop-statements, ambassador-program |
| Content & media | content-strategy, content-ops, podcast-ops |
| Email & lifecycle | email-nurture-sequence |
| Analytics & growth | ab-test-analysis, linkedin-engager-analytics, cash-flow-forecast |
| Strategy & ops | competitor-analysis, market-segments, fulfillment-sop, compliance-checklist |
| Sales & conversion | sales-script, growth-loops |
| Copywriting | copywriting |
| Chat & messaging | telegram-mini-app |
Want to add your own skill? See CONTRIBUTING.md and the templates/ folder.
🤝 Contributing
We welcome:
- 🆕 New skills — drop a folder under
examples/skills/<your-skill-id>/withSKILL.md,skill.yaml,input/output.schema.json - 🐛 Bug reports — open an issue
- 📖 Docs improvements — PRs welcome
- 🌍 Translations — Arabic, Spanish, French, German, etc.
See CONTRIBUTING.md for the full guide.
📜 License
This project is licensed under the MIT License — see LICENSE.
🔐 Production vs OSS
The OSS release is a curated, public-safe subset of the full production system. The production deployment includes:
- 1,040 production skills (vs 25 here)
- 1,700+ compiled agents (vs 25 here)
- Proprietary orchestration SOPs (paid-campaign-launch, content-program, brand-refresh, ppc-audit)
- Live ad-platform integrations (Meta, GA4, Google Ads)
- Customer-tuned agency memory (brand voices, campaign histories, decisions)
- Cost & pacing optimization engines
The OSS version is designed to be fully runnable and to demonstrate the architecture — without exposing the proprietary IP that powers the production SaaS.
🌐 Links
- 🌐 Website: prepilot-system-agency.space
- 📦 Production app: app.prepilot-system-agency.space
- 💬 Discord: [coming soon]
- 🐦 Twitter / X: @imMamdouhaboammar
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Built with ❤️ in Cairo · Shipped to the world
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