Dart Project Management▌
by its-dart
Effortlessly manage tasks and documents with Dart Project Management. Streamline your workflow by creating, updating, an
Integrates with Dart's project management platform, enabling direct task and document management through a set of tools for creating, retrieving, updating, and filtering work items by various attributes.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Project managers coordinating team workflows
- / Development teams tracking tasks and documentation
- / AI-assisted project planning and status updates
capabilities
- / Create and update tasks with status, priority, and assignee
- / Create and manage project documents
- / Filter tasks by various attributes like status and assignee
- / Retrieve task summaries and work item details
- / Organize documents in folders
what it does
Connects to Dart's AI-powered project management platform to manage tasks and documents directly from your AI assistant.
about
Dart Project Management is an official MCP server published by its-dart that provides AI assistants with tools and capabilities via the Model Context Protocol. Effortlessly manage tasks and documents with Dart Project Management. Streamline your workflow by creating, updating, an It is categorized under productivity.
how to install
You can install Dart Project Management in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Dart Project Management is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Dart MCP Server
Deprecated information
`dart-mcp-server` is the official AI [Model Context Protocol (MCP)](https://github.com/modelcontextprotocol) server for Dart. - [Features](#features) - [Prompts](#prompts) - [Resource templates](#resource-templates) - [Tools](#tools) - [Task management](#task-management) - [Document management](#document-management) - [Setup](#setup) - [Find the MCP settings file for the client](#find-the-mcp-settings-file-for-the-client) - [Claude Desktop](#claude-desktop) - [Claude Code](#claude-code) - [Cursor](#cursor) - [Cline](#cline) - [Windsurf](#windsurf) - [Any other client](#any-other-client) - [Set up the MCP server](#set-up-the-mcp-server) - [Variant: setup with Docker](#variant-setup-with-docker) - [Help and Resources](#help-and-resources) - [Contributing](#contributing) - [License](#license) ## Features ### Prompts The following prompts are available - `create-task` - Create a new task in Dart with title, description, status, priority, and assignee - `create-doc` - Create a new document in Dart with title, text content, and folder - `summarize-tasks` - Get a summary of tasks with optional filtering by status and assignee These prompts make it easy for AI assistants to perform common actions in Dart without needing to understand the underlying API details. ### Resource templates The following resources are available - `dart-config:` - Configuration information about the user's space - `dart-task:///{taskId}` - Detailed information about specific tasks - `dart-doc:///{docId}` - Detailed information about specific docs ### Tools The following tools are available #### Task management - `get_config` - Get information about the user's space, including available assignees, dartboards, folders, statuses, tags, priorities, and sizes - `list_tasks` - List tasks with optional filtering by assignee, status, dartboard, priority, due date, and more - `create_task` - Create a new task with title, description, status, priority, size, dates, dartboard, assignees, tags, and parent task - `get_task` - Retrieve an existing task by its ID - `update_task` - Update an existing task's properties - `delete_task` - Move a task to the trash (recoverable) - `add_task_comment` - Add a comment to an existing task #### Document management - `list_docs` - List docs with optional filtering by folder, title, text content, and more - `create_doc` - Create a new doc with title, text content, and folder - `get_doc` - Retrieve an existing doc by its ID - `update_doc` - Update an existing doc's properties - `delete_doc` - Move a doc to the trash (recoverable) Each tool supports comprehensive input validation and returns structured JSON responses. ## Setup The easiest way to run the MCP server is with `npx`, but a Docker setup is also available. ### Find the MCP settings file for the client #### Claude Desktop 1. [Install Claude Desktop](https://claude.ai/download) as needed 2. Open the config file by opening the Claude Desktop app, going into its Settings, opening the 'Developer' tab, and clicking the 'Edit Config' button 3. Follow the 'Set up the MCP server' steps below #### Claude Code 1. Install [Claude Code](https://docs.anthropic.com/en/docs/claude-code/getting-started) as needed 2. Copy your authentication token from [your Dart profile](https://app.dartai.com/?settings=account) 3. Run the following command, being sure to replace `dsa...` with your actual Dart token ```bash claude mcp add dart -e DART_TOKEN=dsa_... -- npx -y dart-mcp-server@latest ``` #### Cursor 1. [Install Cursor](https://www.cursor.com/downloads) as needed 2. Open the config file by opening Cursor, going into 'Cursor Settings' (not the normal VSCode IDE settings), opening the 'MCP' tab, and clicking the 'Add new global MCP server' button 3. Follow the 'Set up the MCP server' steps below #### Cline 1. [Install Cline](https://cline.bot/) in your IDE as needed 2. Open the config file by opening your IDE, opening the Cline sidebar, clicking the 'MCP Servers' icon button that is second from left at the top, opening the 'Installed' tab, and clicking the 'Configure MCP Servers' button 3. Follow the 'Set up the MCP server' steps below #### Windsurf 1. [Install Windsurf](https://windsurf.com/download) as needed 2. Open the config file by opening Windsurf, going into 'Windsurf Settings' (not the normal VSCode IDE settings), opening the 'Cascade' tab, and clicking the 'View raw config' button in the 'Model Context Protocol (MCP) Servers' section 3. Follow the 'Set up the MCP server' steps below #### Any other client 1. Find the MCP settings file, usually something like `[client]_mcp_config.json` 2. Follow the 'Set up the MCP server' steps below ### Set up the MCP server 1. [Install npx](https://nodejs.org/en/download), which comes bundled with Node, as needed 2. Copy your authentication token from [your Dart profile](https://app.dartai.com/?settings=account) 3. Add the following to your MCP setup, being sure to replace `dsa...` with your actual Dart token ```json { "mcpServers": { "Dart": { "command": "npx", "args": ["-y", "dart-mcp-server@latest"], "env": { "DART_TOKEN": "dsa_..." } } } } ``` ### Variant: setup with Docker If the `npx` setup above does not work well, we also provide a Docker setup. Follow the instructions above to find the MCP settings file 1. [Install Docker](https://www.docker.com/products/docker-desktop/) as needed 2. Build the Docker container with `docker build -t mcp/dart .` 3. Copy your authentication token from [your Dart profile](https://app.dartai.com/?settings=account) 4. Add the following to your MCP setup, being sure to replace `dsa...` with your actual Dart token ```json { "mcpServers": { "Dart": { "command": "bash", "args": [ "-c", "docker rm -f dart-mcp >/dev/null 2>&1 || true; docker run -i --rm --name dart-mcp -e DART_TOKEN mcp/dart" ], "env": { "DART_TOKEN": "dsa_..." } } } } ``` ## Help and Resources - [Homepage](https://dartai.com/?nr=1) - [Web App](https://app.dartai.com/) - [Help Center](https://help.dartai.com/) - [Bugs and Features](https://app.dartai.com/p/r/JFyPnhL9En61) - [Library Source](https://github.com/its-dart/dart-mcp-server/) - [Chat on Discord](https://discord.gg/RExv8jEkSh) - Email us at [[email protected]](mailto:[email protected]) ## Contributing Contributions are welcome! Please open an issue or submit a pull request. ## License This project is licensed under [the MIT License](LICENSE).FAQ
- What is the Dart Project Management MCP server?
- Dart Project Management is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Dart Project Management?
- This profile displays 39 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★39 reviews- ★★★★★Evelyn Tandon· Dec 28, 2024
Useful MCP listing: Dart Project Management is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Hiroshi Shah· Dec 20, 2024
Strong directory entry: Dart Project Management surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Shikha Mishra· Dec 16, 2024
We evaluated Dart Project Management against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Nia Jain· Nov 19, 2024
We evaluated Dart Project Management against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Hiroshi Tandon· Nov 11, 2024
Dart Project Management has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Yash Thakker· Nov 7, 2024
Useful MCP listing: Dart Project Management is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Nov 3, 2024
We wired Dart Project Management into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Meera Wang· Nov 3, 2024
Dart Project Management is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Dhruvi Jain· Oct 26, 2024
Dart Project Management reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Chaitanya Patil· Oct 22, 2024
Dart Project Management is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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