line/mcp-abc-user-feedback
3.3
If you are the rightful owner of mcp-abc-user-feedback and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The ABC User Feedback MCP Server is a Model Context Protocol server that integrates the ABC User Feedback API to connect with an AI Agent.
Tools
3
Resources
0
Prompts
0
ABC User Feedback MCP Server
Model Context Protocol (MCP) server implementation that integrates ABC User Feedback API to connect an AI Agent.
Tools
- 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.
- 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.
- 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 inSettings
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 before making a contribution.