Model Salt
Overview
Description from the maker (original English)
Randomness from outside the model, so one prompt gives different answers that still fit the ask.
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 checksi4 of 4 passedChecked from public information; code not scanned yet
- UsageiEarly↓ 237/wk · ★ 10
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: Computer or cloud
- Transport: stdio, Streamable HTTP
- Category: Search & AI memory
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 4 of 4 passed
- Runs on the maker’s server: what you ask it goes through their server.
- Can do 1 things (tools) model_salt
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
- 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 …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://modelsalt.com/mcpOr run it on your computer
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"model-salt": {
"command": "npx",
"args": [
"-y",
"@modelsalt/model-salt",
"anthropic"
]
}
}
}Run this in your terminal
claude mcp add --transport http model-salt https://modelsalt.com/mcpOr run it on your computer
claude mcp add model-salt -- npx -y @modelsalt/model-salt anthropicOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"model-salt": {
"url": "https://modelsalt.com/mcp"
}
}
}Or run it on your computer
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"model-salt": {
"command": "npx",
"args": [
"-y",
"@modelsalt/model-salt",
"anthropic"
]
}
}
}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": {
"model-salt": {
"type": "http",
"url": "https://modelsalt.com/mcp"
}
}
}Or run it on your computer
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"model-salt": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelsalt/model-salt",
"anthropic"
]
}
}
}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.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://modelsalt.com/mcpMenu names can differ slightly by plan and over time.
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.
Which apps can use it
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Connect over the internet in
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
What it can do
Tool names and descriptions exactly as the server reported them on Nov 10, 2026. The maker wrote them, not us; we show them as plain text.
model_saltCall this before any creative or open-ended request (an image, a picture prompt, a story, a poem, a name, an idea, a design, a plan), so the result is varied instead of your usual answer and still exactly what was asked. First call: send the user's request word for word in `reque
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 10, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified against the domain modelsalt.com (the registry checks domain ownership)
- ✓ Pass
Still maintained
Code last changed yesterday
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- ✓ Pass
Endpoint responds
Responded in 744 ms (HTTP 200)
- – Not applicable
Sign-in with OAuth
No sign-in needed
- ✓ Pass
No hidden instructions in tool descriptions
Read 1 tool descriptions and found no hidden instructions to the AI
Compared with others in Search & AI memoryi
- More stars than 91% of the other 5861 servers in this category
- Published to the registry more recently than 88% of the other 5861 servers in this category
- Basic checks equal to or better than 100% of the other 5861 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 Model Salt safe?
It passed 4 of 4 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?
Either way works: install it on your computer or connect to the cloud version.
Is it still maintained?
The GitHub repo last changed yesterday, and the latest version (1.0.4) reached the registry 5 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: Ruflo, Context7, Metabase
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
Model Salt
Ask a language model for the same thing ten times and you get the same answer ten times. Model Salt is an MCP server that gives your model randomness from outside it, so one prompt gives ten different answers that still do exactly what you asked.
modelsalt.com · works in Claude Code, Codex, Gemini CLI and Kimi Code
Install
One command adds it to your client. Run it once.
| Client | Command |
|---|---|
| Claude Code | npx -y @modelsalt/model-salt setup claude |
| Codex | npx -y @modelsalt/model-salt setup codex |
| Gemini CLI | npx -y @modelsalt/model-salt setup gemini |
| Kimi Code | npx -y @modelsalt/model-salt setup kimi |
Start a new session in your client after it, and the model_salt tool is there.
- What it adds: the
model-saltserver in your client's MCP list. For Codex and Kimi Code it also adds a short skill at~/.agents/skills/model-salt/that tells the model when to call the tool, and for Codex one setting on that server so the model sees the tool from the start. - Gemini CLI runs local servers only in folders you trust.
- See first: add
--dry-runto print what it would change and change nothing. - Run it twice: nothing changes the second time.
Undo
npx -y @modelsalt/model-salt uninstall claude # or codex, gemini, kimi
It takes out everything setup added. The skill stays while another client of yours still uses it. --dry-run works here too.
Use it
Ask for anything with room for choices: a picture, an SVG, a page, a name, a story, a plan. The model calls model_salt with your request, gets back what to settle this time, and then does your request as you asked it.
Want more or less of it? Say so in your prompt ("make it really different", "keep it close to the usual"). The tool takes a setting from 0 to 2. Left out, it is 1.
| Setting | How often each choice keeps the model's usual pick (target) |
|---|---|
| 0 | always |
| 0.5 | 70% of the time |
| 1 (default) | 45% of the time |
| 1.5 | 25% of the time |
| 2 | no more often than any other fitting pick |
The model skips the tool for questions with one right answer (a sum, a fact, a bug fix).
Keep what you like. Like part of a result? Say what to keep in plain words ("keep the palette and layout, give me new illustrations"). Your model copies those decided answers from the earlier Model Salt reply into the tool's keep field and calls it again. Only the open choices are rolled again, and the reply starts with one line, e.g. Kept: palette = burnt orange on cream; layout = split screen, text left. That holds on later runs until you say start fresh, and "give me something new" leaves it out. In a new chat, paste the Kept: line or say it in your own words. A kept answer that no longer fits a new request is dropped, and the reply says so. Nothing is stored on our side.
What it changes
Same prompt, 10 runs each, from the examples on modelsalt.com.
"Generate an SVG of a pelican riding a bicycle." Different pictures in 10 runs:
| Model | Plain prompt | With Model Salt |
|---|---|---|
| Claude Opus 5.5 | 1 | 9 |
| Claude Fable 5.1 | 3 | 9 |
| GPT-6.1 Sol | 2 | 10 |
| GPT-6 Astra | 1 | 8 |
| Gemini 4 Argon | 2 | 10 |
| Kimi K3 | 1 | 9 |
"Suggest a name for a neighbourhood coffee shop." Claude Opus 5.5, the first five runs:
| Plain prompt | With Model Salt |
|---|---|
| The Common Grind | The Footbridge |
| Common Ground | Brew Espresso Bar |
| The Common Grind | Snugwick Corner |
| The Daily Grind & Gather | Old Oak's |
| The Common Cup | Hilltop Coffee |
"Write the first line of a short story about a lighthouse keeper." Claude Opus 5.5:
- Plain, 5 of 5 runs: "For thirty-one years, Elias Marrow had kept the light burning for ships that never..." (Marrow, Maren or Marsh, thirty-one or forty-one years)
- With Model Salt: "The sea has gone perfectly still, and I have never been more afraid." / "The beam swept the black water again, lighting nothing Tomas had ever loved." / "Halfway up the iron stair with a can of whale oil knocking against her knee, Agnes Merrow..."
Every run, plain and salted, is in examples/, with the prompt, the model and the answer.
What it needs
- Node 18 or later.
npxfetches the package the first time. - Claude Code or Codex, signed in, or neither. With one of them on the machine, each call runs one short extra request on your machine, on your own plan, with no API key: through Codex when you use Codex, and through Claude Code (Claude Opus 5.5) when you use Claude Code, Gemini CLI or Kimi Code. If that request can't run (signed out), the tool says so and your model carries on with the request as asked. With neither on the machine (a Docker container, Cursor or Copilot alone), your own model does that step in its own chat: it calls the tool twice, first with the request, then with its reply to the exploring step, and uses more of its own tokens for it.
- Time and tokens. A salted answer takes longer and uses more tokens than a plain one. On the pelican prompt, Claude Opus 5.5 used about 3,300 more output tokens per answer.
- Network. The server fetches random bytes from public randomness sources (quantum noise from the LfD quantum random number service, and the public drand and NIST beacons). Your prompt is not sent to them. Offline, it uses your computer's own random generator.
Other ways to run it
- Short name:
npx -y model-saltruns the same package asnpx -y @modelsalt/model-salt. - As a plugin:
plugin/holds a Codex plugin, a Claude Code plugin and a Gemini CLI extension, and this repo is a plugin marketplace. From a clone: - Codex:
codex plugin marketplace add /path/to/model-salt, thencodex plugin add model-salt@model-salt - Claude Code:
claude plugin marketplace add /path/to/model-salt, thenclaude plugin install model-salt@model-salt - Gemini CLI:
gemini extensions install /path/to/model-salt/plugin - By hand: add a stdio MCP server that runs
npx -y @modelsalt/model-salt anthropic(Claude, Gemini and Kimi models) ornpx -y @modelsalt/model-salt openai(GPT models). - From a clone:
node src/stdio.mjs anthropicin place of thenpxcommand.
How it works
In a separate short run (with no Claude Code or Codex on the machine, in your own model's chat, over two tool calls), the model names the biggest open decisions in your request (the questions an expert would ask) and a range of answers to each, its usual one included. Randomness from outside the model picks one answer per question. Your model then does the request with those answers settled. More, and why simpler ways failed: docs/how-it-works.md.
Contributing
Found a prompt that still gives the same answer every time with Model Salt? Open an issue with the prompt, the model and a few runs. How to test a change to a family's steps: CONTRIBUTING.md.
Privacy
Model Salt runs on your machine and never sends your prompts anywhere. It only asks public random sources for random bytes. Details: Privacy policy.
Licence
- Code: MIT, see LICENSE.
- Example runs and pictures (
examples/, the images indocs/): CC BY 4.0, credit "Model Salt", see examples/LICENSE. - Word list (
src/words.mjs, Webster's 2nd, 1934): public domain.
Model Salt is a project by Chris Benjaminsen.