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standardbeagle avatar

Dart Query

standardbeagle/dart-query
authSTDIOregistry active
Summary

Connects Claude to Dart AI's task management API with a focus on batch operations that avoid context window bloat. Instead of looping through tasks individually, you use DartQL selectors (SQL-92 WHERE syntax) to update or delete hundreds of tasks in one call. A 50-task update that normally burns 30K tokens takes around 200. Includes dry run modes for batch operations, CSV import with validation, full CRUD for tasks and docs, and search with filters. Useful when you're wrangling large task lists and don't want intermediate JSON responses eating your context. All operations hit production, but deletes are recoverable through Dart's trash system.

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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

GroupToolsPurpose
Discoveryinfo, get_configExplore capabilities, workspace config
Task CRUDcreate_task, get_task, update_task, delete_task, add_task_commentSingle task operations
Querylist_tasks, search_tasksFind tasks with filters or full-text search
Batchbatch_update_tasks, batch_delete_tasks, get_batch_statusBulk operations with DartQL selectors
Importimport_tasks_csvBulk create from CSV with validation
Docslist_docs, create_doc, get_doc, update_doc, delete_docDocument management

See TOOLS.md for full parameter references, DartQL syntax, and CSV import format.

DartQL Selectors

SQL-92 WHERE clause syntax 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 'Task%'                          -- starts with
title LIKE '%auth%'                         -- contains substring

Operators: =, !=, <>, >, >=, <, <=, LIKE, IN, NOT IN, BETWEEN, IS NULL, IS NOT NULL, CONTAINS Aliases: INCLUDES/HAS → CONTAINS · <> → != LIKE wildcards: % = any characters, _ = single character (case-insensitive)

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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Configuration

DART_TOKEN*secret

Your Dart AI API token (get it from: https://app.dartai.com/?settings=account)

Categories
Data & AnalyticsProductivity & Office
Registryactive
Package@standardbeagle/dart-query
TransportSTDIO
AuthRequired
UpdatedJan 25, 2026
View on GitHub

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