"Dart" matching MCP servers:

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.

Enables building Flutter and Dart apps through a multi-agent system that orchestrates specialized agents for UI design, backend development, testing, and deployment.

Enables interaction with the Flutter SDK by providing tools to analyze and apply fixes to Dart and Flutter files.

Enables AI assistants to communicate with serial port devices, supporting port management, data transmission in text/binary modes, interactive terminal sessions, and automatic reconnection.

Enables MCP clients to search and manage Freelancehunt projects, bids, profiles, reviews, messages, and workspaces, with local filtering by keywords, budget, bid count, and employer quality.

Enables AI-driven batch refactoring of Movable Type content via the MT Data API using natural language instructions. It provides a secure workflow featuring automated backups, visual diff reports, and rollback capabilities for safe HTML transformations.

Enables AI agents to control SillyTavern through MCP tools for managing characters, chats, worldbooks, prompt assembly, extensions, plugins, snapshots, and runtime state.

Enables agents to translate natural-language shopping intent into aggregated multi-merchant item discovery, consolidated cross-merchant carts, and structured transaction checkout payloads. Runs as a zero-dependency, MCP-compatible engine that can also be imported directly as a Python module.

Enables monitoring abandoned checkout sessions, diagnosing friction causes, crafting margin-preserving incentive vouchers, and generating multi-channel win-back messages through MCP.

Enables AI assistants to search Australian retailers and fill the user's own online shopping cart through tools for product search, adding items, setting quantities, and checking connection and usage status. Supports Woolworths today, with Coles, Amazon Australia, Kmart and BIG W planned.

Enables agents to translate consumer shopping intent into aggregated item discovery, cross-merchant cart consolidation, and structured transaction checkout payloads across multiple merchants. It runs as a zero-dependency Python MCP server or importable module compatible with Claude Desktop, Cursor, and other work agent frameworks.

A local MCP server for academic Word document processing, supporting real MathType OLE objects and Word REF/bookmark cross-references.

Enables AI agents to browse product catalogs and make purchases through a policy engine that enforces spending limits, requires human approval for certain amounts, and logs all actions to an audit trail.