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
Fairdraw
Overview
Description from the maker (original English)
Provably fair raffle draws: winners picked from public drand randomness, verifiable by anyone.
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
- npmNode.js installed (for the npx 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": {
"fairdraw": {
"command": "npx",
"args": [
"-y",
"@reneturcios/fairdraw",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add fairdraw -- npx -y @reneturcios/fairdraw mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"fairdraw": {
"command": "npx",
"args": [
"-y",
"@reneturcios/fairdraw",
"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": {
"fairdraw": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/fairdraw",
"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 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CloudCorpRecords, 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 32417 servers in this category
- Published to the registry more recently than 91% of the other 32417 servers in this category
- Basic checks equal to or better than 100% of the other 32417 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 Fairdraw 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 (0.1.0) reached the registry 3 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, FOGA node
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 yesterday
Install
FOGA node
by garyyang-finchip
A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.
Computer or 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.
fairdraw
A raffle nobody has to take your word for. fairdraw picks winners from the public drand randomness beacon: the winning names are a pure function of a drand round's published randomness and the entrant list, so after a draw anyone can recompute the ranking by hand and check that the announced winners are the ones the beacon actually produced.
How a result is decided:
- The entrant list is deduplicated and sorted.
- Each entrant is scored with
sha256(randomness + "|" + entrant)(hex digest). - Entrants are ranked by score, lowest first — the lowest scores win, in ranked order.
The three tools:
pick_winner_now— draw immediately against the latest drand round and get the winner (or winners) right away, with the round number and the start of the randomness in the result so the draw can be rechecked.create_scheduled_draw— seal a draw to a future reveal. The drand round is committed the instant the draw is created, from the chain's timing: the first round whose randomness becomes available at or afternow + delay_sec. The reply carries a draw id.verify_draw— look a scheduled draw up by id. While its round is still unpublished you get a pending note naming the committed round; once the round is out, you get the winners recomputed from that round's randomness, marked as verified.
Scheduled draws are kept in the server process's memory: they live as long as the process does, and a draw id is only meaningful to the process that created it.
CLI
Each tool is a subcommand taking one JSON argument string:
npx @reneturcios/fairdraw pick_winner_now '{"entrants":["alice","bob","carol"],"winners":2}'npx @reneturcios/fairdraw create_scheduled_draw '{"title":"Spring raffle","entrants":["alice","bob"],"delay_sec":3600}' npx @reneturcios/fairdraw verify_draw '{"id":" "}' npx @reneturcios/fairdraw --version
Output is the tool's result text. Exit codes: 0 on success, 1 on a runtime error (including a validation or drand failure), 2 on a usage error.
MCP server
npx -y @reneturcios/fairdraw mcpMCP client config:
{"mcpServers": { "fairdraw": { "command": "npx", "args": ["-y", "@reneturcios/fairdraw", "mcp"] } } }
Docker
docker run -i ghcr.io/cloudcorprecords/fairdrawdocker run --rm ghcr.io/cloudcorprecords/fairdraw pick_winner_now '{"entrants":["alice","bob"]}'
Development
npm installnpm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake fetch + fake clock, no network) npm run dev # run the CLI from source
License
MIT — Copyright (c) 2026 Rene Turcios