Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Predictions over your own data with $p and $why, no model training; says when Aito does not fit.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
AITO_URL, AITO_API_KEY, AITO_MCP_ALLOW_WRITESValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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": {
"aito": {
"command": "uvx",
"args": [
"aito-mcp"
],
"env": {
"AITO_URL": "your-value",
"AITO_API_KEY": "your-value",
"AITO_MCP_ALLOW_WRITES": "your-value"
}
}
}
}Run this in your terminal
claude mcp add aito --env AITO_URL=your-value --env AITO_API_KEY=your-value --env AITO_MCP_ALLOW_WRITES=your-value -- uvx aito-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"aito": {
"command": "uvx",
"args": [
"aito-mcp"
],
"env": {
"AITO_URL": "your-value",
"AITO_API_KEY": "your-value",
"AITO_MCP_ALLOW_WRITES": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"aito": {
"type": "stdio",
"command": "uvx",
"args": [
"aito-mcp"
],
"env": {
"AITO_URL": "your-value",
"AITO_API_KEY": "your-value",
"AITO_MCP_ALLOW_WRITES": "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 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.
AITO_URL envAITO_MCP_ALLOW_WRITES envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 9, 2026
The registry name was verified with the GitHub account AitoDotAI, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: AITO_API_KEY
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).
The GitHub repo last changed –, and the latest version (1.2.1) reached the registry 15 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Statuser
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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.
An MCP server for Aito, the predictive database, for AI assistants and coding agents: uvx aito-mcp.
Its tools are predict, recommend, relate, match, search, query, evaluate, get_schema, put_schema and upload_rows over the Aito v2 API. Each tool's description says when Aito fits and when another tool (a language model, a trained model, a search engine) is the better choice. Results carry $p (a probability you can set a threshold on) and $why (the evidence). It is read-only unless started with AITO_MCP_ALLOW_WRITES=1.
The server finds the instance like the Aito Python SDK: AITO_URL and AITO_API_KEY, or the profile aito start writes for a local Aito (pip install aitoai, then aito start).
claude mcp add aito -- uvx aito-mcp
Setup for Claude Code and other assistants: https://aito.ai/docs/articles/use-aito-from-claude-code-and-other-ai-assistants/
When Aito fits, and when another tool is the better choice: https://aito.ai/docs/articles/when-to-use-aito-and-when-not/
The code lives in aitoai (aito.mcp); this package only installs it with the mcp extra. Source: https://github.com/AitoDotAI/aito-python-tools