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Dart Query MCP server

by standardbeagle·io.github.standardbeagle/dart-query·v0.3.5
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Dart AI task management MCP with batch operations, DartQL selectors, CSV import, zero context rot

B80/100grade B
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Safety scan
B80/100

full report

Adoption
New

0 stars33 downloads/wk

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Dart Query tools (24, 8 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • add_task_comment

    Add a comment to a task for status updates, AI rationale, or notes. Supports markdown formatting.

  • add_time_tracking

    Add a time tracking entry to a task. Supports started_at/finished_at or duration_minutes.

  • attach_url

    Attach a file from URL to a task. URL must be publicly accessible.

  • batch_delete_taskswrite action

    Batch delete multiple tasks matching a DartQL selector. MOST DANGEROUS OPERATION! CRITICAL: dry_run defaults to true, confirm=true REQUIRED when dry_run=false. Tasks move to trash (recoverable).

  • batch_update_taskswrite action

    Batch update multiple tasks matching a DartQL selector. Supports all task fields including relationships. CRITICAL: Always use dry_run=true first to preview changes!

  • create_docwrite action

    Create a new document with title, text (markdown supported), and optional folder

  • create_taskwrite action

    Create a new task with title, description, status, priority, size, dates, dartboard, assignees, tags, and task relationships (subtasks, blockers, related tasks)

  • delete_docwrite action

    Delete a document (moves to trash - recoverable via Dart web UI)

  • delete_taskwrite action

    Delete a task (moves to trash - recoverable via Dart web UI)

  • get_batch_status

    Retrieve status of a batch operation (update, delete, or import) by batch_operation_id. Operations are kept in memory for 1 hour.

  • get_config

    Get workspace configuration: assignees, dartboards, statuses, tags, priorities, sizes

  • get_dartboard

    Get details about a dartboard including task count. Token-efficient lookup.

  • get_doc

    Get a specific document by doc_id with full text content

  • get_folder

    Get details about a folder including doc count. Token-efficient lookup.

  • get_task

    Get a specific task by dart_id with optional comments and relationship details. Returns task relationships (subtasks, blockers, blocking, duplicates, related) with counts and optional expanded titles.

  • import_tasks_csv

    Import tasks from CSV file with validation and parallel creation. CRITICAL: ALWAYS use validate_only=true first! Production safety: validate → fix errors → import.

  • info

    Progressive discovery of dart-query capabilities - start here

  • list_comments

    List comments on a task with pagination. Token-efficient: returns minimal comment data.

  • list_docs

    List documents with optional filtering by folder, title_contains, text_contains. Supports pagination.

  • list_tasks

    Query tasks with filters (assignee, status, dartboard, priority, tags, dates, relationships), pagination, and detail levels. Relationship filters use client-side filtering - may be slower for large task counts.

  • move_task

    Move/reposition a task within a dartboard or to a different dartboard. Supports ordering by index or relative to another task.

  • search_tasks

    Full-text search across tasks with relevance ranking. Alternative to list_tasks for text-based discovery. Supports quoted phrases and exclusions.

  • update_docwrite action

    Update an existing document (title, text, or folder). Validates references and only sends changed fields.

  • update_taskwrite action

    Update an existing task with partial field updates including task relationships (validates references, only sends changed fields). Relationship arrays use full replacement semantics - to add/remove, get current values, modify, then update with the full array.

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan63 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 61 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 80/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install Dart Query in Claude Code, Cursor or VS Code

Runs npx -y @standardbeagle/dart-query on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add dart-query -- npx -y @standardbeagle/dart-query
Add to Cursor

What the publisher says

From the Dart Query repository's README, as published. We do not edit it. Read it on GitHub

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

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

Nothing above is checked by us. What we check is on the safety report.

Dart Query: common questions

Is Dart Query MCP server safe?
Mostly: it is graded B (80/100). Read the Dart Query safety report
How do I install Dart Query?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Dart Query need an API key?
Yes. The registry entry asks for DART_TOKEN.
Is Dart Query maintained?
The last commit was 73 days ago (2026-08-01). The latest release is v0.3.5.
What can I use instead of Dart Query?
Servers from other publishers that do the same job: Gsheets MCP server, Google Sheets MCP server and Caldav MCP server. Compare all Dart Query alternatives.

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