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
Rankedtoday MCP
Overview
Description from the maker (original English)
League of Legends math for AI agents: MMR estimation, climb projections, KDA, hours. No API key.
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": {
"rankedtoday": {
"command": "uvx",
"args": [
"rankedtoday-mcp"
]
}
}
}Run this in your terminal
claude mcp add rankedtoday -- uvx rankedtoday-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"rankedtoday": {
"command": "uvx",
"args": [
"rankedtoday-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": {
"rankedtoday": {
"type": "stdio",
"command": "uvx",
"args": [
"rankedtoday-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 RyanKramer, 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 32606 servers in this category
- Published to the registry more recently than 30% of the other 32606 servers in this category
- Basic checks equal to or better than 100% of the other 32606 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 Rankedtoday 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 (0.1.0) reached the registry 2 months 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, Georgia 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
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 2 days ago
Install
Georgia MCP
by abgeo
An MCP server for Georgian public data, read from the organizations that publish it.
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.
Ranked Today MCP
League of Legends math and cognitive-readiness reference for AI agents. Estimate MMR from LP flow, project a climb, calculate KDA and lifetime hours, and get the research on sleep and reaction time without the folklore.
No API key. No Riot account. No network calls. Every tool is a pure function and every estimate shows its arithmetic.
Web versions: shouldiplayrankedtoday.com/tools
Install
{"mcpServers": { "rankedtoday": { "command": "uvx", "args": ["rankedtoday-mcp"] } } }
Or pip install rankedtoday-mcp.
Tools
| Tool | What it does |
|---|---|
estimate_mmr | Infers whether MMR sits above or below your rank from LP gain/loss asymmetry |
climb_calculator | Games required to reach a target LP total, or whether the climb runs backward |
kda | KDA with a role-aware read and the winrate caveat |
hours_played | Lifetime hours from account level, with the math and the error bars |
hardware_latency_budget | How much of a reaction-test score is your monitor and mouse, not you |
readiness_reference | What the sleep/cognition research supports — and explicitly what it does not |
season_countdown | Days to a ranked season boundary |
rankedtoday_tools | Free cognitive tests and League tools on the web |
Design notes
Nothing here pretends to read hidden data. Riot removed public MMR from the API years ago, and there is no lifetime hours counter. estimate_mmr infers from the LP exchange rate and says so; hours_played converts account level and reports plus-or-minus 20% along with what it cannot see. Any tool printing an exact MMR from a summoner name is guessing without telling you.
`readiness_reference` includes the disconfirming evidence. It lists what the research supports (+49 ms after one all-nighter, 5x more attention lapses, the 516-player rank correlation) *and* what it does not — including a controlled study where sleep-deprived players' cognition tanked while game outcomes barely moved. Readiness is a probabilistic personal signal, never a win predictor.
`climb_calculator` will tell you the climb runs backward. Below your breakeven winrate, more games means less LP. It returns that verdict rather than a games-required number, because the honest answer is that this climb does not finish.
Development
git clone https://github.com/RyanKramer/rankedtoday-mcpcd rankedtoday-mcp pip install -e . rankedtoday-mcp
About
Built by Ranked Today — a 3-minute daily cognitive readiness check for League players. Free cognitive tests, no signup.
Not affiliated with or endorsed by Riot Games.
MIT licensed.