Skip to main content

Enhanced MCP server for interactive user feedback and command execution in AI-assisted development, featuring dual interface support (Web UI and Desktop Application) with intelligent environment detection and cross-platform compatibility.

Project description

Cursor Feedback MCP

🔧 项目说明

基于 mcp-feedback-enhanced 项目进行定制开发,感谢原作者的贡献!

本版本修复了以下问题并新增功能:

✅ 已修复问题

  1. 超时设置问题:修复了超时时间永远是 600s 的问题,现已修复默认 24 小时超时 ,可以长时间等待反馈啦
  2. 图片上传问题:修复了无法上传图片报错序列号错误的问题,现已支持更多类型图 片 😁🎉
  3. 断网重连功能:新增断网不断链接功能,现在可以离线同一个会话等待(适合使用 手机热点为电脑提供互联网的场景)

🚀 如何使用

方式一:使用 uvx 直接安装(推荐)

# 直接使用 uvx 运行
uvx cursor-feedback-mcp

# 或者安装后使用
uv tool install cursor-feedback-mcp
cursor-feedback-mcp

方式二:在 Cursor 中配置

{
  "mcpServers": {
    "cursor-feedback-mcp": {
      "command": "uvx",
      "args": ["cursor-feedback-mcp"],
      "timeout": 86400,
      "env": {
        "MCP_DEBUG": "false",
        "MCP_WEB_HOST": "127.0.0.1",
        "MCP_WEB_PORT": "8765",
        "MCP_DESKTOP_MODE": "false",
        "MCP_LANGUAGE": "zh-CN"
      },
      "autoApprove": ["interactive_feedback"]
    }
  }
}

方式三:本地开发模式

Fork 本项目到本地,在 Cursor 中配置:

{
  "mcpServers": {
    "cursor-feedback-mcp-local": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/your/cursor_feedback_mcp",
        "python",
        "-m",
        "cursor_feedback_mcp"
      ],
      "timeout": 86400,
      "env": {
        "MCP_DEBUG": "false",
        "MCP_WEB_HOST": "127.0.0.1",
        "MCP_WEB_PORT": "8765",
        "MCP_DESKTOP_MODE": "false",
        "MCP_LANGUAGE": "zh-CN"
      },
      "autoApprove": ["interactive_feedback"]
    }
  }
}

注意:请将 /path/to/your/cursor_feedback_mcp 改为您本地的项目位置。

📸 界面预览

Cursor Feedback MCP 界面预览
主界面 - 支持提示管理、自动提交、会话跟踪上传图片等功能
Cursor Feedback MCP 功能展示
超时功能展示 - 智能工作流程和现代化体验

📦 安装与发布

从 PyPI 安装

# 使用 uvx 直接运行
uvx cursor-feedback-mcp

# 或使用 pip 安装
pip install cursor-feedback-mcp

# 或使用 uv 安装
uv tool install cursor-feedback-mcp

本地开发

# 克隆项目
git clone https://github.com/zhajiahe/cursor-feedback-mcp.git
cd cursor-feedback-mcp

# 安装依赖
uv sync

# 运行测试
uv run pytest

# 本地构建
uv build

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cursor_feedback_mcp-2.8.0.tar.gz (11.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cursor_feedback_mcp-2.8.0-py3-none-any.whl (8.6 MB view details)

Uploaded Python 3

File details

Details for the file cursor_feedback_mcp-2.8.0.tar.gz.

File metadata

  • Download URL: cursor_feedback_mcp-2.8.0.tar.gz
  • Upload date:
  • Size: 11.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.14 {"installer":{"name":"uv","version":"0.9.14","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for cursor_feedback_mcp-2.8.0.tar.gz
Algorithm Hash digest
SHA256 a2b17bcc427cb4925820eec2096a1443fbc45f3dd663b4b07655bfcfa91be8ac
MD5 03b492c708abf1fee1e39e5fa281e92c
BLAKE2b-256 cb86ab60b8a528ed5e534803cc3fb5f378856543a9ab88eaf29df29205855c67

See more details on using hashes here.

File details

Details for the file cursor_feedback_mcp-2.8.0-py3-none-any.whl.

File metadata

  • Download URL: cursor_feedback_mcp-2.8.0-py3-none-any.whl
  • Upload date:
  • Size: 8.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.14 {"installer":{"name":"uv","version":"0.9.14","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for cursor_feedback_mcp-2.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 180f3ac4e3fc6593bea48f319b4f91f8d600428a3a23d00eca815a3011825a57
MD5 8f3236ccd32d02c953cae73e5d7b83e7
BLAKE2b-256 e0453016a1388f199bf6b3c7291ee87490b5c0a09f00d9b7208195e5a410fdcb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page