Dart AI task management MCP with batch operations, DartQL selectors, CSV import, zero context rot
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
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.
Visit https://app.dartai.com/?settings=account and copy your token (starts with dsa_).
npx (recommended)
SLOP-MCP (v0.10.0+)
| 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.
SQL-92 WHERE clause syntax for targeting tasks in batch operations:
Operators: =, !=, <>, >, >=, <, <=, LIKE, IN, NOT IN, BETWEEN, IS NULL, IS NOT NULL, CONTAINS
Aliases: INCLUDES/HAS β CONTAINS Β· <> β !=
LIKE wildcards: % = any characters, _ = single character (case-insensitive)
All Dart AI operations are production (no sandbox). dart-query provides:
confirm: true) required for batch deletesMIT
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