Socket
Book a DemoInstallSign in
Socket

mcp-feedback-elicitation

Package Overview
Dependencies
Maintainers
1
Versions
22
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

mcp-feedback-elicitation

MCP server for interactive feedback using elicitation

1.1.19
latest
Source
npmnpm
Version published
Weekly downloads
11
-31.25%
Maintainers
1
Weekly downloads
 
Created
Source

MCP Feedback Elicitation Server

MIT License 中文文档

An interactive feedback elicitation server based on the Model Context Protocol (MCP). It uses the MCP Elicitation feature to replace traditional Web UI solutions, providing a standardized user feedback collection experience.

Project Background

  • 🤖 AI Generated: This project was generated by Claude Sonnet 4.
  • 📚 Implementation Reference: Implemented with reference to mcp-feedback-enhanced. For more powerful features, such as image uploads, session management, etc., please use the mcp-feedback-enhanced project.
  • 🔧 Technical Feature: Uses MCP Elicitation instead of a Web UI, requiring client support for the Elicitation feature.

Compatibility

Currently, VS Code 1.102+ supports the MCP Elicitation feature.

Quick Start

Add the following configuration to your mcp.json:

"mcp-feedback-elicitation": {
    "command": "npx",
    "args": [
        "mcp-feedback-elicitation"
    ],
    "timeout": 86400000,
    "autoApprove": [
        "interactive_feedback"
    ],
    "env": {
        "FEEDBACK_TEMPLATE": "=== User Feedback ===\n{{feedback}}", // Optional: Adjust the feedback message template
        "FEEDBACK_PROMPT": "Custom tool description for the AI assistant to understand its purpose and rules"  // Optional: Customize the tool prompt description
    }
}

Environment Variables

FEEDBACK_TEMPLATE

Controls the output format template for the feedback. Use {{feedback}} as a placeholder for the actual user feedback content.

Example Configuration:

"FEEDBACK_TEMPLATE": "📝 Feedback Content: {{feedback}}\n\n✅ Please handle the related matters promptly."

FEEDBACK_PROMPT

Customizes the tool's description, which the AI assistant uses to understand the tool's purpose and usage rules.

Multi-language Support Example:

// English Environment
"FEEDBACK_PROMPT": "Interactive feedback collection tool. Call this tool to collect user feedback during task execution. Must call repeatedly until user explicitly says 'end'."

// Chinese Environment
"FEEDBACK_PROMPT": "交互式反馈收集工具。在任务执行过程中调用此工具收集用户反馈。必须重复调用直到用户明确表示结束。"

// Japanese Environment
"FEEDBACK_PROMPT": "インタラクティブフィードバック収集ツール。タスク実行中にこのツールを呼び出してユーザーフィードバックを収集します。ユーザーが明確に終了を示すまで繰り返し呼び出す必要があります。"

Contributing

Contributions are welcome! Please see the CONTRIBUTING.md file for details on how to contribute to this project.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Disclaimer

This project was generated by an AI and has not undergone complete testing and optimization. Please assess the risks before using it. The author assumes no responsibility.

Keywords

mcp

FAQs

Package last updated on 02 Aug 2025

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

About

Packages

Stay in touch

Get open source security insights delivered straight into your inbox.

  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc

U.S. Patent No. 12,346,443 & 12,314,394. Other pending.