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
Raptor Studio
Overview
Description from the maker (original English)
Build, validate and simulate reliability block diagrams (RAM analysis) from an AI assistant.
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.
You need
- PyPIPython’s uv installed (for the uvx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"raptor-studio": {
"command": "uvx",
"args": [
"raptor-studio-mcp"
]
}
}
}Run this in your terminal
claude mcp add raptor-studio -- uvx raptor-studio-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"raptor-studio": {
"command": "uvx",
"args": [
"raptor-studio-mcp"
]
}
}
}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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"raptor-studio": {
"type": "stdio",
"command": "uvx",
"args": [
"raptor-studio-mcp"
]
}
}
}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 7, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account openpowershift, 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 32545 servers in this category
- Published to the registry more recently than 88% of the other 32545 servers in this category
- Basic checks equal to or better than 100% of the other 32545 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 Raptor Studio 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 (0.9.0) reached the registry 4 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Python MCP
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
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by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated yesterday
Install
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by Files-com
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Runs on your computerUpdated 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.
RAPTOR Studio
An open-source reliability block diagram (RBD) simulator for Windows, macOS and Linux. Draw a diagram of parts that can fail and be repaired, run thousands of simulated futures, and read availability, reliability, maintenance, spares and cost numbers like an engineer, then find out which part to spend money on.
RAPTOR Studio carries on from Raptor 7, the simulator written at ARINC and released as open source by Booz Allen Hamilton. Its simulation engine was ported from Raptor 7's own source and checked, event by event, against what Raptor 7 itself writes, so the numbers are the ones reliability engineers already trust. Models made in Raptor 7 open here. Around that engine is a new application, a command line, and an AI-assistant server.
Like Raptor 7, it is released under the Booz Allen Public License (BAPL). Anyone may use, modify and share it, but a commercial entity may use it only for its internal business and for services to government and non-profit organisations, and nobody may charge a fee for it without Booz Allen Hamilton's permission. See Licence & credits.
Why use it
- Numbers you can rely on. The detailed event logs and report files of hundreds of models captured from Raptor 7 are reproduced character for character, including its random-number generator. Where Raptor 7 does something surprising, the port reproduces it and says so.
- It tells you what to fix, not just how you are doing. Weak-link analysis, single-point-failure lists and importance measures (Birnbaum, RAW, RRW and Vesely–Fussell, see below) rank the parts of your system by how much they matter, and colour the diagram to match.
- Built for speed. Runs split across your processor cores, and the engine, layout, validation and file loading have been tuned so that models with hundreds or thousands of blocks are practical to build, open and run. We expect it to be faster than Raptor 7 on most models, particularly large ones and batches on several cores.
raptor estimatetimes a few runs and tells you how long a full batch will take before you start it. - Runs anywhere. One installer or
pip install, on Windows, macOS and Linux. - Scriptable. Everything the application does is also a command (
raptor run,sweep,compare,diff,estimate,validate,spf,fev,step,extract,analytic,renderand more) with machine-readable results. It fits in a continuous-integration job, a Jupyter notebook or a shell loop. - Usable from an AI assistant. An MCP server with 66 tools (67 including
ping) lets an assistant build, edit, validate, simulate, compare and explain models, run long batches in the background, and draw the diagram. The MCP server reference covers install, client setup and every tool, resource and prompt. The recording below is a real run of those tools (the numbers are the engine's; the assistant's narration is scripted):
- A model file you can read and diff.
.rbdsis one JSON document with friendly field names, andraptor diff(or File ▸ Differences) says in words what changed between two versions of a model..rbdfiles open and save exactly as before. - Documentation that ships with it. _Break It Before It Breaks_, a 23-chapter tutorial book with a model for each chapter that opens from the page, a field-by-field reference manual, and a formulas page. F1 opens the right section.
Which part matters most? Importance measures
Availability says how good the system is. Importance says which block to improve. Switch on Run ▸ Analysis ▸ Importance measures (or raptor run --importance both, or importance on the MCP simulate tool) and RAPTOR Studio re-simulates the model with each block in turn made unable to fail, and with it dead, then ranks every block by how much the system moves. You get:
- Birnbaum, RAW (risk achievement worth), RRW (risk reduction worth) and Vesely–Fussell importance, the IEC 61078 Annex D measures, each with its sampling error so you can tell a real ranking from noise;
- an Importance tab in the results, and a Show on Canvas colouring that paints the most influential blocks red and badges each block with its rank;
- an up-front time estimate that includes the extra batches, so a long analysis never surprises you.
The equations are on the Formulas page, and the tutorial's weak-link chapter works through an example.
What is new compared with Raptor 7
| Importance measures | Rank blocks by Birnbaum, RAW, RRW and Vesely–Fussell importance, with sampling error, a results tab and a canvas overlay. |
| Parallel batches | Runs spread over your cores (-j N on the command line); results are reproducible for a given core count, and one core reproduces Raptor 7's own random sequence exactly. |
| Run-time estimate | Know how long a batch will take before you start it, in the app, on the command line and from an assistant. |
| Check part of a model | Run one hierarchy on its own, with its input assumed available, or save it as a standalone model (raptor extract). The results are labelled as isolated. |
| Parameter sweeps and comparisons | Vary any field over a list of values, or run two or more models side by side, from the application, the command line or an assistant. Differences shows what is different between two models, and runs nothing. |
| AI assistant (MCP) | 66 tools (67 including ping) to build, edit, run, analyse and explain models, over stdio or authenticated HTTP. |
| Stepping debugger | Step a run event by event, pause on a condition, jump to the next run, and see what each step changed. Failure Effects View and the Single Point Failure file are also available headless. |
| Several models at once | Each model opens in its own window with its own undo history and results. |
| Edit while looking at results | Results stay on screen while you edit; undo and redo for edits; spread-banded Weak Link, Cost, Capacity, Spares and Importance colourings. |
| Block labels and rates | Choose what the lines under each block show (mean, standard deviation, rate); keep the derivation of a failure rate in a named, reusable Rate. |
| Reports | Results export as PDF, HTML, AsciiDoc, spreadsheet, CSV or JSON (a versioned schema). |
| Diagram | Light and dark themes, dockable panels, annotations, mini-map, key tips on the commands that have one, and a diagram renderer for documents (raptor render). |
| Safer files | Validation catches the model shapes that crash Raptor 7 on open (a node's declared path count, a stale phase header) before you save them. |
Install
Windows / macOS / Linux (recommended for non-technical users)
Grab the installer for your platform from the Releases page:
| File | Platform | Install |
|---|---|---|
raptor-studio-*-windows-setup.exe | Windows 10/11 (x64) | Double-click, follow the wizard |
raptor-studio-*-windows-portable.zip | Windows 10/11 (x64) | Unzip anywhere, run raptor-studio.exe |
raptor-studio-*-macos-arm64.dmg | macOS 13+ (Apple Silicon) | Open the DMG, drag RAPTOR Studio to Applications |
raptor-studio-*-macos-x64.dmg | macOS 13+ (Intel) | Open the DMG, drag RAPTOR Studio to Applications |
raptor-studio-*-linux-amd64.deb | Debian/Ubuntu (x64) | Double-click or sudo apt install ./…deb |
raptor-studio-*-linux-x86_64.AppImage | Most Linux distros (x64) | chmod +x the file, then run it |
Verify the checksums against SHA256SUMS.txt in the same release. The installers carry the desktop application only; the raptor command line and the MCP server come with the pip package (below).
File types: the Windows installer, macOS app and .deb register .rbds and .rbd so a double-click opens the model in RAPTOR Studio. On a machine with Raptor 7, .rbd keeps opening Raptor 7 by default and RAPTOR Studio is added under "Open with". The AppImage cannot register file types system-wide; run raptor-studio model.rbds or use File → Open.
macOS note (unsigned build): Gatekeeper will ask for confirmation. Right-click RAPTOR Studio → Open → Open, or run xattr -cr "/Applications/RAPTOR Studio.app" once in Terminal.
Windows note (unsigned build): SmartScreen may show "Windows protected your PC" — click More info → Run anyway.
PyPI (technical users, and for the MCP server)
pip install raptor-studio # the application and command linepip install "raptor-studio[mcp]" # plus the MCP server for AI assistants
or, isolated from your system Python:
pipx install "raptor-studio[mcp]"For the assistant server alone, uvx raptor-studio-mcp --workspace ~/raptor-models runs it without an install step.
Then run raptor-studio for the application, raptor --help for the command line, or raptor-studio-mcp for the assistant server. pip puts these three commands in the environment's bin folder (Scripts on Windows), so in a virtual environment either activate it first (source .venv/bin/activate, or .venv\Scripts\activate on Windows) or give the full path, such as `
Only the beginning is shown; read the rest in the repo