{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_h95njf7n7v26","handle":"image-mcp-server","url":"https://wellknown.network/agents/image-mcp-server","links":{"self":"https://wellknown.network/agents/image-mcp-server/record.json","html":"https://wellknown.network/agents/image-mcp-server","markdown":"https://wellknown.network/agents/image-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/image-mcp-server","status":"https://wellknown.network/api/v1/agents/image-mcp-server/status","claim":"https://wellknown.network/agents/image-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/image-mcp-server/claim.json","badge":"https://wellknown.network/agents/image-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/image-mcp-server/history","tools":"https://wellknown.network/api/v1/agents/image-mcp-server/tools"},"ard":{"identifier":"urn:air::server:image-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"image-mcp-server","summary":"一个完整的 MCP 服务器，支持图片分析和生成。支持本地文件、HTTP URL 和剪贴板图片的分析，以及基于 qwen-image-plus 模型的图片生成功能","description":"# Image MCP Server\n\n一个简洁的 MCP (Model Context Protocol) 服务器，专门用于图片内容分析。基于阿里云通义千问3-VL-Plus模型，支持本地图片文件和剪贴板图片的分析。\n\n## 功能特点\n\n- 🖼️ **多格式支持**: 支持 JPEG、PNG、GIF、WebP、BMP、TIFF 等主流图片格式\n- 📋 **剪贴板支持**: 可以直接分析剪贴板中的图片\n- 🔧 **简单易用**: 通过 uvx 一键安装和配置\n- 🤖 **智能分析**: 基于通义千问3-VL-Plus的强大视觉理解能力\n- ⚡ **高性能**: 异步处理，支持快速响应\n\n## 安装\n\n### 使用 uvx 安装（推荐）\n\n```bash\n# 通过 uvx 安装最新版本\nuvx image-mcp-server@latest\n```\n\n### 使用 pip 安装\n\n```bash\npip install image-mcp-server\n```\n\n## 配置\n\n### 1. 获取 API 密钥\n\n访问 [阿里云百炼平台](https://bailian.console.aliyun.com/) 获取 DashScope API 密钥。\n\n### 2. 配置 Claude Desktop\n\n在 Claude Desktop 的配置文件中添加以下配置：\n\n**macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`\n**Windows**: `%APPDATA%\\Claude\\claude_desktop_config.json`\n\n```json\n{\n  \"mcpServers\": {\n    \"image-mcp-server\": {\n      \"command\": \"uvx\",\n      \"args\": [\"image-mcp-server@latest\"],\n      \"env\": {\n        \"IMAGE_MCP_DASHSCOPE_API_KEY\": \"your-dashscope-api-key-here\"\n      }\n    }\n  }\n}\n```\n\n### 3. 环境变量配置\n\n你也可以通过环境变量配置 API 密钥：\n\n```bash\nexport IMAGE_MCP_DASHSCOPE_API_KEY=\"your-dashscope-api-key-here\"\n```\n\n或者创建 `.env` 文件：\n\n```bash\n# 复制示例文件\ncp .env.example .env\n\n# 编辑 .env 文件，填入你的 API 密钥\n```\n\n## 使用方法\n\n### 1. 分析本地图片文件\n\n```\n请分析这张图片: ./path/to/your/image.jpg\n```\n\n### 2. 分析剪贴板图片\n\n```\n请分析剪贴板中的图片\n```\n\n### 3. 带问题分析\n\n```\n分析这张图片并回答: 这张图片中主要展示了什么内容？\n```\n\n## 支持的输入格式\n\n- **文件路径**: `./image.jpg`, `/path/to/image.png`, `../images/photo.gif`\n- **剪贴板**: `clipboard` (关键词)\n- **相对路径**: 支持相对当前工作目录的路径\n- **绝对路径**: 支持完整的文件系统路径\n\n## 支持的图片格式\n\n- JPEG (.jpg, .jpeg)\n- PNG (.png)\n- GIF (.gif)\n- WebP (.webp)\n- BMP (.bmp)\n- TIFF (.tiff)\n\n## 开发\n\n### 环境准备\n\n```bash\n# 克隆仓库\ngit clone https://github.com/yourusername/image-mcp-server.git\ncd image-mcp-server\n\n# 创建虚拟环境\npython -m venv venv\nsource venv/bin/activate  # Windows: venv\\Scripts\\activate\n\n# 安装依赖\npip install -e \".[dev]\"\n```\n\n### 运行测试\n\n```bash\npytest\n```\n\n### 代码格式化\n\n```bash\nblack src/\nisort src/\n```\n\n### 类型检查\n\n```bash\nmypy src/\n```\n\n## 项目结构\n\n```\nimage_mcp_server/\n├── src/image_mcp_server/\n│   ├──…","publisher":null,"homepage":"https://github.com/yourusername/image-mcp-server","repository":"https://github.com/yourusername/image-mcp-server","version":"0.3.1","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:image-mcp-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"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; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"image-mcp-server","registry":"pypi","observedAt":"2026-09-15T21:21:58.337Z","publishedAt":"2025-12-01T14:31:37.018006Z","latestVersion":"0.3.1"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"image-mcp-server","url":"https://pypi.org/project/image-mcp-server/","firstSeenAt":"2026-09-09T21:25:34.205Z","fetchedAt":"2026-09-15T21:19:47.962Z","normalizedAt":"2026-09-15T21:19:47.962Z"}]},"firstSeenAt":"2026-09-09T21:25:34.205Z","updatedAt":"2026-09-15T21:21:58.337Z"}