Model Salt is answering right now. Last checked 5 min ago. 551 installs a week from npm. It exposes 1 tools. Last commit 5 Nov 2026.
Randomness from outside the model, so one prompt gives different answers that still fit the ask.
We read the source, 2 d ago · tools taken from the live server · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const r = spawnSync(CODEX, ['mcp', 'list', '--json', '--disable', 'plugins'], { env: { ...process.env, ...env }, encoding: 'utf8', timeout: 30000 });
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 5 min ago.
claude mcp add model-salt --transport http https://modelsalt.com/mcp
https://modelsalt.com/mcp
[mcp_servers.model-salt]
url = "https://modelsalt.com/mcp"
{
"mcpServers": {
"model-salt": {
"url": "https://modelsalt.com/mcp"
}
}
}
{
"servers": {
"model-salt": {
"type": "http",
"url": "https://modelsalt.com/mcp"
}
}
}
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
model_salt
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://modelsalt.com/mcp | streamable-http | answering | 190 ms | 5 min ago |
Random yes or no answers from the Yes No API. No key required.
Colorado DORA license lookups, the SOMB provider directory and answers from the rules and standards.
Let your AI agents ask you for decisions and get your answers back, from your phone or the web.
Ask for a model and Facet does the rest: it builds, checks and serves a model for one task.
Several models from different labs plan in a blind proposal, debate and review loop. Your own keys.
Code review by AI models from different companies, usually two. Shows where they agree and disagree.
One MCP server that gives your AI agent search, AI answer, social, ad and lead data.
Run terminal processes, edit files and search code on the local machine from an MCP client.
Answers built from our own checks of this server.