KellyIQ

Name: KellyIQ
Author: kellyiq

by kellyiqversion 1.0.0i★ –iRuns in the cloud

Registry namecom.kellyiq/kellyiq

Install

Overview

Description from the maker (original English)

Size an entire sports betting slate as one portfolio, using fractional Kelly and exposure limits.

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 in the cloud
Transport: Streamable HTTP
Category: Other
You need to fill in: Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Run this in your terminal

claude mcp add --transport http kellyiq https://api.kellyiq.com/mcp --header 'Authorization: your-value'

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "kellyiq": {
      "url": "https://api.kellyiq.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "kellyiq": {
      "type": "http",
      "url": "https://api.kellyiq.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

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 address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

Authorization secret HTTP header
Optional KellyIQ API key. Enter as 'Bearer YOUR_API_KEY'. OAuth-capable clients such as Claude can authenticate by signing in instead.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 against the domain kellyiq.com (the registry checks domain ownership)
… 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 checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32509 servers in this category
Published to the registry more recently than 81% of the other 32509 servers in this category
Basic checks equal to or better than 100% of the other 32509 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 KellyIQ 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?

You need to fill in: Authorization

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 8 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Fomu MCP

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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.

KellyIQ examples

Working examples for the KellyIQ API: size a whole sports betting slate as one portfolio from your own scripts, models, spreadsheets and AI assistants.

You send your bankroll and the bets you have chosen, with your view of each. KellyIQ removes the bookmaker's margin from each price, applies your view, and returns a dollar stake for every bet, sized across the slate together under per-bet and total-exposure limits.

Get a key

Create an API key in the KellyIQ app under Settings → API. Every plan includes API access, Free included, each with its own daily allowance. Then:

export KELLYIQ_API_KEY="kiqa_..."

Recipes

Each recipe is a complete script in Python (requests) and JavaScript (Node 18+, no packages).

Recipe	What it shows
`first-optimize`	Size a three-bet slate and read every part of the result
`slate-from-csv`	Keep your slate in a spreadsheet: CSV in, CSV of stakes out (`slate.csv`)
`reproducible-results`	Get exactly the same answer again with the returned seed
`handling-limits`	Back off and retry on rate limits and a busy server

cd recipes

python first-optimize.py # or: node first-optimize.mjs

Each recipe has a walkthrough in the docs: Recipes.

Python package

pip install kellyiq (kellyiq-python): the same API with specific exceptions for each error and automatic retries when the server is busy.

Example	What it shows
`python/size-a-slate.ipynb`	A notebook: stakes, the probabilities behind them, and the risk at each Kelly fraction, as tables
`python/slate_from_csv.py`	CSV in, CSV of stakes out, with each error handled (`slate.csv`)
`python/size_from_model.py`	Your model's probabilities in, stakes merged back into the DataFrame (`model_output.csv`); needs `pandas`
`python/nba_home_teams.py`	A real NBA slate (DraftKings prices, Oct 30, 2026) sized with every home team at the same assumed Moderate Edge (`nba_2026-10-30.csv`); needs `pandas`

Guide: Python SDK.

Excel

spreadsheets/kellyiq-slate.xlsx: enter your bankroll and your bets, press Ctrl+Alt+F5, and get a stake for every bet with a summary of the slate. No macros, and your API key stays in a file on your computer, never in the workbook. Excel for Windows. Setup: spreadsheets/.

Benchmark

benchmarks/slate-sizing: three NBA slates sized by cap-then-scale, by the exact constrained optimum and by KellyIQ, scored by exact expected log growth. The slates, the scoring script and every stake are included so you can rerun it.

AI assistants (MCP)

KellyIQ runs a hosted MCP server at https://api.kellyiq.com/mcp, so your assistant can size a slate as one of its tools. Claude connects by signing in; coding tools use an API key, with ready-to-use configs in mcp/:

Assistant	Setup
Claude (web, desktop, mobile)	Settings, Connectors, Add custom connector, paste the URL, then Connect and sign in
Claude Code	`mcp/claude-code.md`
Cursor	`mcp/cursor.json`
VS Code (GitHub Copilot)	`mcp/vscode.json`
Gemini CLI	`mcp/gemini-cli.md`

Full guide: AI assistants (MCP).

Skills

skills/analyze-my-slate teaches the assistant to collect your slate in one message, confirm before using an optimize, and explain the stakes and the risk. Install steps for Claude and Claude Code: skills/.

Docs and support

Quickstart, API reference, OpenAPI spec
support@kellyiq.com (include the requestId from any error)

Keep your key out of code you commit or share; every example here reads it from the environment.

KellyIQ sizes the bets you choose; it does not choose bets or predict outcomes. Results are calculations, not betting advice. 21+, where legal.

The examples are MIT licensed. The KellyIQ optimizer itself runs as a hosted service.

KellyIQ

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Fomu MCP

README from the maker

KellyIQ examples

Get a key

Recipes

Python package

Excel

Benchmark

AI assistants (MCP)

Skills

Docs and support