Aito
latest · 1.2.0Predictions over your own data with $p and $why, no model training; says when Aito does not fit.
Install
claude mcp add io-github-aitodotai-aito -- uvx aito-mcp/mcp confirms it's connected.
Or add it manually in ~/.cursor/mcp.json:
{
"mcpServers": {
"io-github-aitodotai-aito": {
"command": "uvx",
"args": [
"aito-mcp"
]
}
}
}In claude_desktop_config.json (Settings → Developer → Edit Config), then restart:
{
"mcpServers": {
"io-github-aitodotai-aito": {
"command": "uvx",
"args": [
"aito-mcp"
]
}
}
}Config entry, any MCP client:
{
"command": "uvx",
"args": [
"aito-mcp"
]
}Community score
Community41/ 100
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- Web signals (ecosystem baseline)41/100 · 100% of the weight
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What the web says
Ecosystem baseline41/ 100
Objective public usage & activity (formula v3) — the community score's web-signals input, and its own sort.
GitHubsource ↗
- GitHub stars · 21 hours ago
- ★ 5
- Last commit · 21 hours ago
- 9 days ago
- Issue close rate · 21 hours ago
- 63%
- License · 21 hours ago
- MIT
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Version history1
- 1.2.0release date unknown