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ABC User Feedback MCP Server

Model Context Protocol (MCP) server implementation that integrates ABC User Feedback API to connect an AI Agent.

Tools

  1. search_feedbacks
  • Searches for feedback entries by channelId
  • Inputs:
    • projectId (number): The project ID to search for feedbacks.
    • channelId (number): The channel ID to search for feedbacks.
    • searchText (string?): The text to search for in the feedbacks. If not provided, all feedbacks will be returned.
    • page (number): The page number to retrieve.
    • limit (number): The number of feedbacks to retrieve per page.
  1. find_issue_by_id
  • Finds an issue by ID
  • Inputs:
    • projectId (number): The project ID to search for feedbacks.
    • issueId (number): The issue ID to search for feedbacks.
  1. search_issues
  • Searches for issues by project
  • Inputs
    • projectId (number): The project ID to search for feedbacks.
    • page (number): The page number to retrieve.
    • limit (number): The number of feedbacks to retrieve per page.

Installation

requirements:

  • Node.js v20 or later

Step 1: Install the ABC User Feedback

To communicate with the MCP Server, an active ABC User Feedback API server is required.

Step 2: Configure AI Agent

Please add the following configuration for an AI Agent like Claude Desktop or Cline.

Set the environment variables or arguments as follows:

  • AUF_BASE_URL: (required) ABC User Feedback API base URL.
  • AUF_API_KEY: (required) ABC User Feedback API key. You can create API Key in Settings page in the User Feedback Admin.
{
  "mcpServers": {
    "mcp-abc-user-feedback": {
      "command": "node",
      "args": [
        "path/to/index.js"
      ],
      "env": {
        "AUF_BASE_URL" : "FILL_HERE",
        "AUF_API_KEY" : "FILL_HERE"
      }
    }
  }
}

Contributing

Please check CONTRIBUTING before making a contribution.

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MCP server that integrates ABC User Feedback API to connect an AI Agent

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