MDCP — Master Developer Claude Plugin
A modular developer toolkit for coding agents. MDCP combines curated skills, platform-specific instruction adapters, optional MCP connector guidance, and a local project-memory utility designed to reduce repeated context preparation.
V2000 architecture track: a roadmap/version label, not a claim that 2,000 files, agents, plugins, or integrations are implemented. Features are counted only when implemented and validated.
Explore the skills visually
The official MDCP website source is maintained in a separate repository. Its Cloudflare Pages build generates the searchable, phone-friendly skill catalog directly from this repository's skills/*/SKILL.md files.
YouTube Creator Ecosystem
MDCP includes a cloud-ready YouTube Studio toolkit for channel strategy, video editing, Shorts, thumbnails, SEO, approval-first publishing, analytics and monitoring. See the YouTube ecosystem guide, plugin runtime, and upstream repository catalogue.
Unified Creator + Cybersecurity Automation
MDCP adds one compact cross-agent umbrella skill for authorized cybersecurity defense, website vulnerability review, SQL injection prevention, E2E testing, and complete rights-safe YouTube automation. The unified router is documented in skills/creator-security-automation/SKILL.md, with portable mirrors under .agents/skills/ and .gpt/skills/. Its single MCP tool adapter is in plugins/mdcp-unified/: passive HTTPS/header audit, heuristic SQL source review, E2E test-plan generation, and delegation to the existing YouTube runtime when configured.
Security checks are defensive and authorization-bound; they do not perform exploit attempts or bypass access controls. YouTube publishing and other external mutations remain approval-gated. Thumbnail generation, editing/rendering, cloud queues, OAuth and remote hosting require their respective configured tools/services; documentation does not imply those services are already deployed.
Existing skill library
MDCP currently includes 91 curated skills across core development, security, backend/data, frontend, design, Three.js, workflows, clean-room app reconstruction, and skill/plugin/MCP authoring. See the skill catalog and third-party notices for source and license details.
Platform coverage
| Platform | Included guidance | Important boundary |
|---|
| Claude Code | Existing marketplace plugin and Claude adapter | Native plugin/skill installation |
| OpenAI Codex | AGENTS.md and Codex adapter | Host must support the documented instruction discovery |
| ChatGPT | Project / Custom GPT setup guide | Not an automatically installed ChatGPT plugin |
| Gemini | Portable GEMINI.md adapter | Add to a supported workspace manually |
| Cursor | .cursorrules starter | Follow current Cursor rules support |
| Windsurf | .windsurfrules starter | Follow current Windsurf rules support |
| Other agents | Portable Markdown context | Adapt to the host's own format |
See platform adapters and the universal architecture.
Using Claude on Android or iPhone? Follow the Claude.ai mobile-first setup guide for Project instructions, skill uploads, remote MCP connectors, and phone-friendly workflows.
Token efficiency and project memory
LLM inference is not free and MDCP cannot guarantee zero token consumption or a fixed 80–90% reduction. It helps avoid unnecessary repeated reads by creating a small, bounded project-context pack and storing explicit decisions locally.
Quick start
# Build a compact context pack (stdout)
python3 tools/mdcp_memory.py pack --root . --max-chars 12000
# Save a project decision locally
python3 tools/mdcp_memory.py remember "API versioning" "Use /v1 routes for public endpoints."
# Search saved decisions
python3 tools/mdcp_memory.py search "API"
# Export or delete a memory
python3 tools/mdcp_memory.py export
python3 tools/mdcp_memory.py forget 1
The database lives in .mdcp/memory.sqlite3 and is ignored by Git by default. The utility does not write to ChatGPT Memory, Claude memory, Codex session memory, or any provider-private storage. Feed the generated context pack to the agent or configure the host to load it. Read Token Efficiency & Memory.
Free and local LLM routing (OmniRoute + Ollama)
MDCP includes an integration pack for OmniRoute, a separately maintained open-source AI gateway. It provides one local OpenAI-compatible endpoint, provider/model routing, and fallback according to the providers and accounts you configure. MDCP does not vendor or claim ownership of OmniRoute.
This is the beginning of the README. Read the rest at the original. Read the full README ↗
