Dart MCP Server Integration

AI Project Management Automation Dart

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FlowHunt provides an additional security layer between your internal systems and AI tools, giving you granular control over which tools are accessible from your MCP servers. MCP servers hosted in our infrastructure can be seamlessly integrated with FlowHunt's chatbot as well as popular AI platforms like ChatGPT, Claude, and various AI editors.

What does “Dart” MCP Server do?

The Dart MCP (Model Context Protocol) Server is a tool designed to connect AI assistants with external data sources, APIs, and services, streamlining project management workflows. By serving as an intermediary, Dart MCP enables AI-powered agents to perform operations such as task creation, document management, and data summarization within the Dart project management ecosystem. This integration empowers developers and users to automate repetitive processes, access up-to-date contextual information, and interact programmatically with tasks and documentation, enhancing productivity and collaboration in project management environments.

List of Prompts

  • 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.
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List of Resources

  • (No explicit resource templates or named resources are listed in the available documentation or files.)

List of Tools

  • Task management – Enables AI clients to create, update, and manage tasks within Dart.
  • Document management – Allows for the creation and organization of documents in Dart.

Use Cases of this MCP Server

  • Task Automation: Automatically create and assign tasks in Dart via AI, reducing manual entry and improving project tracking accuracy.
  • Document Generation: Use AI to generate and store project documentation, meeting notes, or requirements directly in Dart.
  • Task Summarization: Quickly produce summaries of project tasks, filtered by status or assignee, so teams can get status updates efficiently.
  • AI-Powered Project Management: Integrate Dart’s MCP server with AI assistants to enable natural language project management commands, streamlining operations for developers and project leads.

How to set it up

Windsurf

  1. Make sure you have Node.js installed.
  2. Locate the MCP settings file for Windsurf.
  3. Add the Dart MCP server to the mcpServers object:
    {
      "mcpServers": {
        "dart-mcp": {
          "command": "npx",
          "args": ["@its-dart/dart-mcp-server@latest"]
        }
      }
    }
    
  4. Save the settings file and restart Windsurf.
  5. Verify the Dart MCP server is active.

Claude

  1. Ensure Node.js is installed.
  2. Locate the MCP settings file for Claude Desktop or Claude Code.
  3. Insert the Dart MCP server configuration:
    {
      "mcpServers": {
        "dart-mcp": {
          "command": "npx",
          "args": ["@its-dart/dart-mcp-server@latest"]
        }
      }
    }
    
  4. Save the file and restart Claude.
  5. Confirm the Dart MCP server is running.

Cursor

  1. Confirm Node.js installation.
  2. Open the MCP config file in Cursor.
  3. Add this entry under mcpServers:
    {
      "mcpServers": {
        "dart-mcp": {
          "command": "npx",
          "args": ["@its-dart/dart-mcp-server@latest"]
        }
      }
    }
    
  4. Save changes and restart Cursor.
  5. Check connection to the Dart MCP server.

Cline

  1. Install Node.js if not already present.
  2. Find and open the MCP settings for Cline.
  3. Add the following configuration:
    {
      "mcpServers": {
        "dart-mcp": {
          "command": "npx",
          "args": ["@its-dart/dart-mcp-server@latest"]
        }
      }
    }
    
  4. Save and restart Cline.
  5. Test if Dart MCP server is accessible.

Securing API Keys

  • Store API keys in environment variables and reference them in the configuration.
  • Example:
    {
      "env": {
        "DART_API_KEY": "your-api-key"
      },
      "inputs": {
        "apiKey": "${DART_API_KEY}"
      }
    }
    

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

FlowHunt MCP flow

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "dart-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “dart-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.


Overview

SectionAvailabilityDetails/Notes
Overview
List of Prompts3 prompts: create-task, create-doc, summarize-tasks
List of ResourcesNo explicit resource list in docs
List of ToolsTask management, Document management
Securing API KeysExample provided for env vars
Sampling Support (less important in evaluation)Not mentioned

Based on the available documentation, Dart MCP Server provides clear prompt templates and tool descriptions, with practical setup guidance for multiple platforms. However, it lacks explicit resource listings and sampling/root support documentation. Overall, it is well-documented for its intended use cases, offering solid project management integrations.


MCP Score

Has a LICENSE✅ (MIT)
Has at least one tool
Number of Forks19
Number of Stars84

Frequently asked questions

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