ai_tags_create
ActiveTool of io.github.saloprj/dialogbrain
Create a new AI tag (automatic message filter). AI tags are lightweight classifiers that run on every incoming message. When a message matches the tag's description/criteria, the thread is automatically labelled — so AI agents can cheaply pre-filter threads instead of running full LLM analysis on everything. Good descriptions are the key: they tell the classifier exactly when to apply this tag. When to use: - User wants to auto-classify incoming messages (e.g. bug reports, sales leads, support requests) - User wants to reduce AI agent costs by pre-filtering threads by topic or intent Tips for the description field: - Be specific: 'Messages reporting errors, crashes, or unexpected behavior in the product' - Include examples of what qualifies and what doesn't Limit: 20 active personal tags / 50 active team tags.
Parameters schema
{
"type": "object",
"required": [
"name"
],
"properties": {
"icon": {
"type": "string",
"description": "Emoji icon for the tag (max 10 chars, optional)"
},
"name": {
"type": "string",
"description": "Tag name (max 100 chars)"
},
"color": {
"enum": [
"amber",
"blue",
"green",
"purple",
"red",
"slate",
"yellow"
],
"type": "string",
"description": "Tailwind color key for the tag badge. Allowed: amber, blue, green, red, purple, yellow, slate. OMIT to use the default color."
},
"description": {
"type": "string",
"description": "Classifier prompt: describe exactly when this tag should be applied to a thread. The more specific, the better the auto-classification accuracy. E.g. 'Messages reporting software errors, crashes, or unexpected behavior'. Max 500 chars."
}
}
}No endpoints wrapped at confidence ≥ 0.70.
Parent server
io.github.saloprj/dialogbrain
https://github.com/saloprj/dialogbrain-mcp
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