Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
Shotcut MCP
Overview
Description from the maker (original English)
Create, edit, validate, preview, and render Shotcut projects through AI clients.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account matrodrigs, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 18398 servers in this category
- Published to the registry more recently than 68% of the other 18398 servers in this category
- Basic checks equal to or better than 100% of the other 18398 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Shotcut MCP safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.6.0) reached the registry 21 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Tethered Trust
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated 3 days ago
Install
Tethered Trust
by tetheredtrust.com
Fit, compatibility and recall checks for AI agents before they buy: verdicts, evidence, receipts.
Runs in the cloudUpdated today
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Shotcut MCP
Local video editing through the Model Context Protocol.
Create, edit, validate, preview, and render saved Shotcut projects through your AI assistant. The result stays an editable .mlt timeline, with transactional writes that protect the project as you work.
Demonstration · Quick start · Documentation · Website
Demonstration
A short H.264 export created from a native Shotcut timeline edited through Shotcut MCP.
https://github.com/user-attachments/assets/c70f064f-17e7-403d-9bcf-689a9c616cdf
Quick start
You need Python 3.10+, Shotcut (recommended 26.8.1, bundled MLT 7.41.0), and an MCP client that supports local stdio servers. Shotcut includes the required media tools, codecs, and filters. No additional Python packages are required.
1. Connect your client
| Client | Installation |
|---|---|
| Claude Desktop / MCPB-compatible client | Follow the MCPB installation and update guide. |
| Codex | Clone the repository and register the local server. |
| Claude Code | Run /plugin marketplace add matrodrigs/shotcut-mcp, then /plugin install shotcut-mcp@matrodrigs and /reload-plugins. Details and manual setup. |
| Other MCP client | Configure a local stdio server. |
The installation guide includes commands for Windows, macOS, and Linux. No pip install is required to run the server. For a source checkout, the guide also shows how to check Python and Shotcut with scripts/shotcut_mcp_server.py --check before connecting MCP.
2. Check readiness
Ask your assistant:
Run shotcut_status and shotcut_doctor. Report tool paths, versions, and failed runtime checks.
Resolve failed runtime checks before editing. See troubleshooting for recovery steps.
3. Make your first edit
Provide the source folder and the destination for the saved project, then describe your edit:
Create a 1920×1080, 30 fps Shotcut project from every video in this folder.Put narration on A1, add 12-frame crossfades, and save it as documentary.mlt. Generate a contact sheet so I can review the edit before exporting.
You can request adjustments in ordinary language. See the editing workflow and example prompts for subtitles, quality analysis, effects, and delivery.
Features
- Edit the timeline: work with tracks, clips, transitions, speed changes, titles, and subtitles; discover source media in a folder and apply up to 500 operations in one transaction.
- Review the result: inspect source quality and color, preview proposed changes, and generate frames, contact sheets, or short clips with motion and audio before exporting.
- Render and deliver: export a full project, frame range, or named marker; receive the media and the exact editable project used for that render.
- Keep work local: use effects from your installed MLT build, with revision checks, validation, isolated backups, and atomic file replacement.
See the full capability reference for supported edit operations.
Transactional safety
Edits are checked against the inspected revision, validated with Melt, and backed up before atomically replacing the saved project. Unknown XML is preserved; ambiguous edits are rejected. Preview and render outputs also use temporary files and atomic promotion.
Each render uses an immutable project snapshot, so later timeline edits cannot change a running export. If export was not already requested, the client confirms the output, preset, range, and overwrite behavior first. An explicit export request does not need a second approval.
Read the transaction and recovery details and rendering behavior.
Limitations
- The server edits saved project files; it cannot see unsaved changes in Shotcut. Let an MCP edit finish before saving the same project in the GUI, then inspect it again.
- Available codecs, filters, fonts, and quality analyzers depend on your local installation.
- Some ambiguous transitions, speed maps, and cross-track edits are rejected. Changing FPS preserves recognized frame numbers rather than automatically retiming the edit.
- Network resources and unsafe consumer properties are denied by default. Administrators can restrict filesystem access through the runtime configuration.
See all limitations for speed-map boundaries and recovery behavior.
Documentation
| Guide | What you will find |
|---|---|
| Installation | Client setup, requirements, and readiness checks |
| Workflow and examples | From an edit request to visual review and delivery |
| Technical reference | Capabilities, tools, presets, configuration, and safety |
| Behavioral specification | Detailed contracts and compatibility boundaries |
| Architecture | Module responsibilities and dependency direction |
MCP tools
The MCP tool catalog lists every tool with a concise purpose. Clients receive full schemas and operation guidance at runtime; most users can work entirely through natural-language prompts.
Development
See Contributing for the shared quality gate, real integration tests, development, and release procedures, Changelog for release changes, Issues for bugs and feature requests, and Security for private vulnerability reporting.
License
Released under the MIT License. This is an independent community project, not affiliated with or endorsed by Shotcut or the MLT project. Shotcut is a trademark of its respective owner; MLT is an independent open-source multimedia framework. This repository contains no Shotcut or MLT source code.
Created by matrodrigs .