{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_t5vsprurbnew","handle":"jimeng-mcp-apicore","url":"https://wellknown.network/agents/jimeng-mcp-apicore","links":{"self":"https://wellknown.network/agents/jimeng-mcp-apicore/record.json","html":"https://wellknown.network/agents/jimeng-mcp-apicore","markdown":"https://wellknown.network/agents/jimeng-mcp-apicore/record.md","api":"https://wellknown.network/api/v1/agents/jimeng-mcp-apicore","status":"https://wellknown.network/api/v1/agents/jimeng-mcp-apicore/status","claim":"https://wellknown.network/agents/jimeng-mcp-apicore/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/jimeng-mcp-apicore/claim.json","badge":"https://wellknown.network/agents/jimeng-mcp-apicore/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/jimeng-mcp-apicore/history","tools":"https://wellknown.network/api/v1/agents/jimeng-mcp-apicore/tools"},"ard":{"identifier":"urn:air::server:jimeng-mcp-apicore","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"jimeng-mcp-apicore","summary":"即梦AI MCP服务器 - 基于APICore平台调用doubao-seedream-4.0模型","description":"# 即梦AI MCP服务器 - APICore渠道版\n\n基于APICore平台调用即梦AI (Doubao Seedream 4.0) 的MCP服务器，支持文生图、图生图、多图融合、组图生成等全部功能。\n\n## ✨ 特色功能\n\n- 🎨 **文生图**：根据文字描述生成高质量图像\n- 🖼️ **图生图**：基于参考图片生成新图像\n- 🎭 **多图融合**：融合多张参考图的元素（最多10张）\n- 📚 **组图生成**：一次生成多张主题相关的图片（最多15张）\n- 🚀 **批量处理**：支持多个prompt批量生成\n- 💾 **自动保存**：生成的图片自动下载并保存到本地\n\n## 🚀 快速开始\n\n### 1. 克隆仓库\n```bash\ngit clone https://github.com/yourusername/jimeng-mcp-apicore.git\ncd jimeng-mcp-apicore\n```\n\n### 2. 安装依赖\n```bash\npip install -r requirements.txt\n```\n\n### 3. 配置环境变量\n\n```bash\n# 复制环境变量模板\ncp .env.example .env\n\n# 编辑.env文件，填入您的API密钥\nvi .env\n\n# 或者直接设置环境变量\nexport APICORE_API_KEY=\"sk-your-api-key\"\nexport JIMENG_OUTPUT_DIR=\"./outputs\"\n```\n\n### 4. 配置Claude Desktop\n\n编辑配置文件：\n- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`\n- Windows: `%APPDATA%\\Claude\\claude_desktop_config.json`\n\n添加以下配置：\n```json\n{\n  \"mcpServers\": {\n    \"jimeng\": {\n      \"command\": \"python3\",\n      \"args\": [\"/path/to/jimeng_mcp.py\"],\n      \"env\": {\n        \"APICORE_API_KEY\": \"sk-your-api-key\",\n        \"JIMENG_OUTPUT_DIR\": \"~/Desktop/jimeng_images\"\n      }\n    }\n  }\n}\n```\n\n### 5. 重启Claude Desktop\n\n## 📚 使用示例\n\n### 基础用法\n\n#### 简单文生图\n```python\njimeng(\"一只可爱的猫咪在花园里玩耍\")\n```\n\n#### 指定尺寸\n```python\njimeng(\n    prompt=\"壮丽的山水风景画\",\n    size=\"16:9\"  # 宽屏格式\n)\n```\n\n### 🌟 高级功能\n\n#### 图生图（参考图生成）\n```python\n# 单张参考图\njimeng(\"改为卡通风格\", image=\"http://example.com/cat.jpg\")\n\n# 多张参考图融合\njimeng(\n    prompt=\"融合这些元素创造新场景\",\n    image=[\"url1.jpg\", \"url2.jpg\", \"url3.jpg\"]\n)\n```\n\n#### 📚 组图生成（重点！）\n\n组图生成使用`auto`模式，AI会根据prompt内容自动决定生成数量：\n\n```python\n# 示例1：生成3张不同时间的图片\njimeng(\n    prompt=\"生成3张不同时间段的城市风景：早晨的朝阳、中午的繁忙、夜晚的灯火\",\n    sequential_image_generation=\"auto\",\n    max_images=3  # 设置上限为3张\n)\n\n# 示例2：生成5张不同角度的产品展示\njimeng(\n    prompt=\"生成5张白色iPhone的不同角度展示：正面、背面、左侧、右侧、45度角\",\n    sequential_image_generation=\"auto\",\n    max_images=5\n)\n\n# 示例3：四季变化\njimeng(\n    prompt=\"生成4张展示同一棵树的四季变化：春天发芽、夏天繁茂、秋天金黄、冬天雪景\",\n    sequential_image_generation=\"auto\",\n    max_images=4\n)\n```\n\n**重要提示：**\n- 在prompt中明确说明需要的数量（如\"生成3张\"）\n- 详细描述每张图的内容…","publisher":{"name":"Ceeon","url":null},"homepage":"https://github.com/Ceeon/jimeng-mcp-apicore","repository":"https://github.com/Ceeon/jimeng-mcp-apicore/issues","version":"1.0.2","license":null,"protocols":["mcp"],"tags":["mcp","jimeng","ai","image-generation","apicore","doubao","seedream"],"pricing":null,"endpoints":[{"url":"pypi:jimeng-mcp-apicore","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"media.image-generation","name":"Image Generation","confidence":1,"provenance":"declared"},{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"}],"categories":["dev","media"],"language":"fr"},"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":"jimeng-mcp-apicore","registry":"pypi","observedAt":"2026-09-15T21:22:12.586Z","publishedAt":"2025-09-18T16:57:55.178518Z","latestVersion":"1.0.2"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"jimeng-mcp-apicore","url":"https://pypi.org/project/jimeng-mcp-apicore/","firstSeenAt":"2026-09-09T22:22:27.597Z","fetchedAt":"2026-09-15T21:20:48.564Z","normalizedAt":"2026-09-15T21:20:48.564Z"}]},"firstSeenAt":"2026-09-09T22:22:27.597Z","updatedAt":"2026-09-15T21:22:12.586Z"}