Goal Story MCP Server

What does “Goal Story” MCP Server do?

Goal Story MCP Server is a conversational AI tool designed to help users manage their aspirations through a process called “Goal Storying.” Rather than functioning as a traditional goal tracker, Goal Story guides users to focus on one goal at a time, weaving their aspirations into a personalized narrative. Leveraging proven visualization techniques, the server acts as an AI “thought partner,” delivering constructive insights and creative storytelling tailored to a user’s unique motivations. This approach helps users stay engaged, motivated, and on track to achieve their goals. The server enables AI assistants and development tools to connect with Goal Story’s API, allowing tasks such as goal creation, visualization, and progress tracking to be integrated into various development and productivity workflows.

List of Prompts

No information about prompt templates is provided in the repository or documentation.

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List of Resources

No explicit details about resources provided to AI clients are present in the available documentation.

List of Tools

No tool definitions or specific actions exposed via the MCP server (such as query_database, call_api, etc.) are described in the repository or its documentation.

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Use Cases of this MCP Server

• Personal Goal Visualization: Integrate with AI assistants to help users visualize their goals, making the process more engaging and effective.
• Motivational Storytelling: Use the server to generate personalized stories around a user’s aspirations, boosting intrinsic motivation.
• Progress Tracking: Capture and reflect on user insights and accomplishments, enabling iterative growth and goal refinement.
• Integration with Productivity Tools: Allow developers to embed Goal Story’s functionality into other task or habit-tracking platforms for enriched goal management.
• Conversational Coaching: Enable chatbots or AI agents to provide ongoing, narrative-driven coaching based on user goals and progress.

How to set it up

Windsurf

1. Ensure Node.js is installed on your system.
2. Locate the Windsurf configuration file (typically windsurf.config.json).
3. Add the Goal Story MCP server using the following JSON snippet:

   "mcpServers": {
     "goalStory": {
       "command": "npx",
       "args": ["-y", "goalstory-mcp", "https://prod-goalstory-rqc2.encr.app", "your-api-key"]
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify the setup by checking the logs or using a test prompt.

Claude

1. Obtain your API key from https://www.goalstory.ing/ .
2. Open your Claude MCP configuration file.
3. Insert the Goal Story MCP server configuration:

   "mcpServers": {
     "goalStory": {
       "command": "npx",
       "args": ["-y", "goalstory-mcp", "https://prod-goalstory-rqc2.encr.app", "your-api-key"]
     }
   }
   

4. Save changes and restart Claude.
5. Confirm connectivity by issuing a goal-related command.

Cursor

1. Install Node.js on your system if not already present.
2. Open your Cursor configuration file.
3. Add the server definition:

   "mcpServers": {
     "goalStory": {
       "command": "npx",
       "args": ["-y", "goalstory-mcp", "https://prod-goalstory-rqc2.encr.app", "your-api-key"]
     }
   }
   

4. Save and restart Cursor.
5. Test by accessing Goal Story features via the MCP interface.

Cline

1. Acquire an API key from https://www.goalstory.ing/ .
2. Edit the Cline MCP server configuration file.
3. Add this configuration:

   "mcpServers": {
     "goalStory": {
       "command": "npx",
       "args": ["-y", "goalstory-mcp", "https://prod-goalstory-rqc2.encr.app", "your-api-key"]
     }
   }
   

4. Save the file and restart Cline.
5. Check for successful integration in the tool’s status or logs.

Securing API Keys Using Environment Variables

To keep your API key secure, use environment variables in your configuration. Example:

"mcpServers": {
  "goalStory": {
    "command": "npx",
    "args": ["-y", "goalstory-mcp", "https://prod-goalstory-rqc2.encr.app"],
    "env": {
      "GOALSTORY_API_KEY": "your-api-key"
    },
    "inputs": {
      "apiKey": "${GOALSTORY_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:

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:

{
  "goalStory": {
    "transport": "streamable_http",
    "url": "https://prod-goalstory-rqc2.encr.app"
  }
}

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 “goalStory” if you use a different MCP server name and set the correct URL.

Overview

Our opinion

The Goal Story MCP Server has a compelling narrative and use case, with solid setup documentation and integration guidance. However, it lacks technical depth in its public documentation regarding prompts, tools, and resources, which limits its immediate developer utility. Based on the above, we would rate this MCP server a 4/10 for developer usability and completeness.

MCP Score