feat: initial commit - Jhonny Editor
- Adicionado estrutura completa do projeto - Configurado MCP server para Premiere Pro - Adicionado documentação e skills - Configurado Gitignore para o projeto
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João Henrique
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# MCP for Adobe Premiere Pro Organic Distribution Kit
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## Gate before any public distribution
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Treat this file as draft copy, not proof that a guide is public. Before a post,
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outreach message, directory submission, or community link goes out, verify the
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exact production guide URL and `/blog/` return HTTPS 200 on the intended
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deployed commit. Do not publish a URL from a local build or repository branch.
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## Guide inventory
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| Reader intent | Guide | Public route to verify before sharing |
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| --- | --- | --- |
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| Understand the product | What is an MCP server for Adobe Premiere Pro? | `/blog/what-is-a-premiere-pro-mcp-server/` |
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| Evaluate a safe first workflow | Premiere Pro AI workflow checklist | `/blog/premiere-pro-ai-workflow-checklist/` |
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| Compare AI routes | Adobe Premiere AI Assistant vs. MCP | `/blog/adobe-premiere-ai-assistant-vs-mcp/` |
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| Prepare assistant-editor intake | Premiere Pro Project Intake checklist | `/blog/premiere-pro-project-intake-checklist/` |
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| Preserve a recovery point | Premiere Pro project backup checklist | `/blog/premiere-pro-project-backup-checklist/` |
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| Focus a visual review | Premiere Pro review frames and scene detection | `/blog/premiere-pro-review-frames-and-scene-detection/` |
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| Inspect a delivery file | Premiere Pro delivery QC and loudness checklist | `/blog/premiere-pro-delivery-qc-and-loudness-checklist/` |
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## Positioning
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MCP for Adobe Premiere Pro gives compatible AI assistants a structured, local-first way to inspect Premiere projects, plan supported edits, automate repeatable work, and return observable results—without replacing the editor’s creative decision.
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## Draft release post
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When the checked guide URLs are live, share this for editors and workflow teams who want to use AI with Adobe Premiere Pro without handing over creative control:
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1. A practical comparison of Adobe’s current AI Assistant beta and a structured MCP workflow
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2. A project-backup checklist before high-risk automation or organization work
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3. A visual-review guide for file-verified frames and source scene candidates
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4. A delivery-QC guide for scoped black/freeze findings and loudness measurement
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MCP for Adobe Premiere Pro is free, MIT licensed, and local-first. Start with a read-only connection check, then inspect your active sequence before requesting an edit.
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Read the guides: https://premiere-pro-mcp.com/blog/
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## Short social variants
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### LinkedIn
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AI video editing should make repetitive Premiere work easier to review—not make creative decisions in a black box.
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When the guide set is live, share the comparison, project-backup, visual-review, and delivery-QC checklists with the post-production teams who need a bounded way to evaluate automation.
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Start with the safe, read-only connection check: https://premiere-pro-mcp.com/blog/
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### X / Bluesky
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New practical guides for AI-assisted Adobe Premiere Pro workflows.
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Compare the current native Assistant beta with a structured MCP path, then use focused backup, review, and delivery-QC checklists before relying on a workflow.
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Free, MIT licensed, local-first: https://premiere-pro-mcp.com/blog/
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### Community post
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This open-source MCP server provides structured, local-first Adobe Premiere Pro workflows. The goal is not autonomous editing: it is making repetitive work inspectable, bounded, and easier to verify.
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The guide hub covers the connection model, workflow boundaries, the current Adobe AI Assistant beta, project backups, visual review, and delivery QC. Feedback on capability boundaries, install friction, and real editor workflows is especially welcome once the verified guide URLs are live: https://premiere-pro-mcp.com/blog/
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## Outreach email
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**Subject:** A practical, local-first guide to AI workflows in Premiere Pro
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Hi [name],
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I published a short guide series for editors and post-production teams exploring AI-assisted Adobe Premiere Pro workflows. It focuses on a gap that gets missed in “AI video editing” coverage: how to inspect a project, constrain an automation, and verify a result instead of treating a prompt as proof.
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MCP for Adobe Premiere Pro is a free, MIT-licensed local MCP server. The guides are useful even for readers who are comparing approaches, because they explain a clear safety and review model.
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If it is relevant to your audience, the hub is here: https://premiere-pro-mcp.com/blog/
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Thanks,
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MCP for Adobe Premiere Pro contributors
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## 30-day distribution cadence
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| Week | Primary action | Success signal |
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| --- | --- | --- |
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| 1 | Announce the guide hub on owned social channels and GitHub Discussions; link to the “what is” guide. | Referral visits and completed setup-guide clicks. |
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| 2 | Share a concrete inspect-plan-apply-verify example; link to the AI workflow guide. | Time on article and safe-check copy or docs clicks. |
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| 3 | Publish one short workflow recipe from a real, approved use case; link to the automation guide. | Qualified feedback and issue/discussion quality. |
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| 4 | Reach out individually to relevant editor, MCP, and post-production publications or newsletters. | Earned links and branded search impressions. |
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## Measurement
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- Tag each owned social link with a channel-specific UTM source and campaign such as `utm_source=linkedin&utm_medium=organic_social&utm_campaign=guides_launch`.
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- Treat a completed installation, `verify_premiere_connection`, and first successful supported tool call as stronger outcomes than impressions, likes, stars, or downloads.
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- Review Search Console query/impression data after enough crawl and ranking time; do not rewrite a guide solely because early rankings are sparse.
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## Boundaries
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- Do not characterize simulated UI/video assets as live Premiere proof.
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- Do not claim a tool works in every Premiere build; direct readers to the read-only connection check and capability inspection.
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- Do not imply that the local-first server changes the privacy terms of a chosen AI client.
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- This kit is for organic distribution. Paid campaigns are intentionally not activated: they need a defined budget, audience, destination, and conversion measurement plan.
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