dart-query
An MCP server for Dart AI task management that enables bulk operations using DartQL selectors to minimize token usage and context rot. It provides tools for batch updates, task and document CRUD, and safe CSV imports with integrated dry-run capabilities.
README
dart-query
MCP server for Dart AI task management, optimized for batch operations and minimal context usage.
Instead of looping through tasks one-by-one (filling your context window with intermediate JSON), dart-query uses DartQL selectors and server-side batch operations to update hundreds of tasks in a single call. A 50-task update that would normally consume ~30K tokens takes ~200 tokens with zero context rot.
Quick Start
1. Get Your Dart AI Token
Visit https://app.dartai.com/?settings=account and copy your token (starts with dsa_).
2. Configure MCP
npx (recommended)
{
"mcpServers": {
"dart-query": {
"command": "npx",
"args": ["-y", "@standardbeagle/dart-query"],
"env": {
"DART_TOKEN": "dsa_your_token_here"
}
}
}
}
SLOP-MCP (v0.10.0+)
slop register dart-query \
--command npx \
--args "-y" "@standardbeagle/dart-query" \
--env DART_TOKEN=dsa_your_token_here \
--scope user
3. Verify
info({ level: "overview" })
4. Example: Batch Update
// Preview first
batch_update_tasks({
selector: "dartboard = 'Engineering' AND priority = 'high'",
updates: { status: "Doing" },
dry_run: true
})
// Execute
batch_update_tasks({
selector: "dartboard = 'Engineering' AND priority = 'high'",
updates: { status: "Doing" },
dry_run: false
})
Tools
| Group | Tools | Purpose |
|---|---|---|
| Discovery | info, get_config |
Explore capabilities, workspace config |
| Task CRUD | create_task, get_task, update_task, delete_task, add_task_comment |
Single task operations |
| Query | list_tasks, search_tasks |
Find tasks with filters or full-text search |
| Batch | batch_update_tasks, batch_delete_tasks, get_batch_status |
Bulk operations with DartQL selectors |
| Import | import_tasks_csv |
Bulk create from CSV with validation |
| Docs | list_docs, create_doc, get_doc, update_doc, delete_doc |
Document management |
See TOOLS.md for full parameter references, DartQL syntax, and CSV import format.
DartQL Selectors
SQL-like WHERE clauses for targeting tasks in batch operations:
dartboard = 'Engineering' AND priority = 'high' AND tags CONTAINS 'bug'
due_at < '2026-01-18' AND status != 'Done'
title LIKE '%auth%'
Safety
All Dart AI operations are production (no sandbox). dart-query provides:
- Dry-run mode on all batch operations — preview before executing
- Validation phase for CSV imports — catch errors before creating anything
- Confirmation flag (
confirm: true) required for batch deletes - Recoverable deletes — tasks move to trash, not permanent deletion
License
MIT
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