{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_gj9jabbd2kfk","handle":"interactive-feedback-mcp","url":"https://wellknown.network/agents/interactive-feedback-mcp","links":{"self":"https://wellknown.network/agents/interactive-feedback-mcp/record.json","html":"https://wellknown.network/agents/interactive-feedback-mcp","markdown":"https://wellknown.network/agents/interactive-feedback-mcp/record.md","api":"https://wellknown.network/api/v1/agents/interactive-feedback-mcp","status":"https://wellknown.network/api/v1/agents/interactive-feedback-mcp/status","claim":"https://wellknown.network/agents/interactive-feedback-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/interactive-feedback-mcp/claim.json","badge":"https://wellknown.network/agents/interactive-feedback-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/interactive-feedback-mcp/history","tools":"https://wellknown.network/api/v1/agents/interactive-feedback-mcp/tools"},"ard":{"identifier":"urn:air::server:interactive-feedback-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"interactive-feedback-mcp","summary":"MCP server for interactive user feedback and command execution in AI-assisted development, by Fábio Ferreira.","description":"# Interactive Feedback MCP\n\n一个功能强大的 MCP (Model Context Protocol) 服务器，为 AI 辅助开发提供交互式用户反馈和命令执行功能。\n\n## 🌟 主要功能\n\n- **交互式反馈界面** - 图形用户界面，支持文字和图片反馈\n- **命令执行** - 在项目目录中执行命令并实时显示输出\n- **自动提交** - 可设置倒计时自动提交反馈\n- **快捷回复** - 预设常用回复内容\n- **图片支持** - 上传图片文件和剪贴板粘贴，自动压缩优化\n\n## 📸 界面预览\n\n![反馈界面](img.png)\n![终端界面](img_1.png)\n![设置界面](img_2.png)\n\n## cursor配置\n![设置界面](img_3.png)\n\n## ⚡ MCP 配置\n\n### 使用 uvx (推荐)\n\n在 Cursor 或其他支持 MCP 的 AI 助手中添加以下配置：\n\n```json\n{\n  \"mcpServers\": {\n    \"interactive-feedback-mcp\": {\n      \"command\": \"uvx\",\n      \"args\": [\"--from\", \"git+https://github.com/duolabmeng6/interactive-feedback-mcp.git\", \"interactive-feedback-mcp\"],\n      \"timeout\": 600,\n      \"autoApprove\": [\"interactive_feedback\"]\n    }\n  }\n}\n```\n\n### 使用 uv (本地安装)\n\n如果您已经克隆了项目到本地：\n\n```json\n{\n  \"mcpServers\": {\n    \"interactive-feedback-mcp\": {\n      \"command\": \"uv\",\n      \"args\": [\"run\", \"--directory\", \"/path/to/interactive-feedback-mcp\", \"interactive-feedback-mcp\"],\n      \"timeout\": 600,\n      \"autoApprove\": [\"interactive_feedback\"]\n    }\n  }\n}\n```\n\n或者使用传统方式：\n\n```json\n{\n  \"mcpServers\": {\n    \"interactive-feedback-mcp\": {\n      \"command\": \"uv\",\n      \"args\": [\"run\", \"--directory\", \"/path/to/interactive-feedback-mcp\", \"python\", \"interactive_feedback_mcp/server.py\"],\n      \"timeout\": 600,\n      \"autoApprove\": [\"interactive_feedback\"]\n    }\n  }\n}\n```\n\n### 使用 Python (本地安装)\n\n```json\n{\n  \"mcpServers\": {\n    \"interactive-feedback-mcp\": {\n      \"command\": \"python\",\n      \"args\": [\"/path/to/interactive-feedback-mcp/server.py\"],\n      \"timeout\": 600,\n      \"autoApprove\": [\"interactive_feedback\"]\n    }\n  }\n}\n```\n\n## 🎯 提示工程规则\n\n为了获得最佳的交互体验，建议在您的 AI 助手中添加以下规则：\n\n### MCP Interactive Feedback 使用规则\n\n```\n# MCP Interactive Feedback 规则\n\n1. 在任何流程、任务、对话进行时，无论是询问、回复、或完成阶段性任务，皆必须调用 MCP interactive-feedback-mcp。\n\n2. 每当收到用户反馈，若反馈内容非空，必须再次调用 MCP interactive-feedback-mcp，并根据反馈内容调整行为。\n\n3. 仅当用户明确表示「结束」或「不再需要交互」时，才可停止调用 MCP interactive-feedback-mcp，流程才算结束。\n\n4. 除非收到结束指令，否则所有步骤都必须重复调用 MCP interactive-feedback-mcp。\n\n5. 完成任务前，必须使用 MCP interactiv…","publisher":null,"homepage":null,"repository":null,"version":"0.1.2","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:interactive-feedback-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"}],"categories":["dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; 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