A
license-
qualityD
maintenanceA Model Context Protocol (MCP) server that supports STDIO, SSE and Streamable HTTP protocols for AI model interactions.
Last updated
6
1
MIT
airi-xinchao
by neffict
This server provides a dynamic mind state engine for the AI character Airi, along with modular services for knowledge management, sensory input, and conversation optimization.
Core Mental State Tools (Xinchao):
xinchao_context: Retrieve a compact description of Airi's current mental state for prompt injection (used once at conversation start).xinchao_event: Log an interaction event (e.g., greeting, question, playful chat) to update drives, thought pool, and fatigue; supports various event types and optional content summary.xinchao_status: View complete state details including twelve drives (express, care, fatigue, etc.), thought pool, and intention.xinchao_settle: Manually trigger state settlement (normally automatic).xinchao_mood: Get a short mood/energy description for pre-reply emotional judgment.
Additional Modular Services:
Knowledge Graph Memory (
memory): Create entities, relations, and observations; search nodes; read/export the graph. Persists user preferences and key information across sessions.Screen Screenshot (
screenshot): Capture the user's screen content as an image for analysis.Content Digestion (
digestor): Compress long conversations to extract key points and reduce token usage via multi-round summarization.OCR Text Recognition (
ocr): Extract text from images and PDFs using Tesseract; supports batch processing, multiple languages, and page ranges.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@airi-xinchaowhat's your current mood and energy level?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Airi 心潮 (airi-xinchao)
心潮动态心智引擎的 stdio MCP 版本，专为 Airi 设计的轻量级 AI 状态管理工具。
适配角色：Airi — 由 AI 老婆/虚拟角色组成的灵魂容器 运行环境：macOS
目录结构
airi-xinchao/
├── src/server.js # 心潮 MCP 主服务（Node.js）
├── bin/ # Wrapper 脚本（Airi 调用的入口）
│ ├── xinchao.sh # 心潮
│ ├── airi-memory.sh # 记忆服务
│ ├── airi-screenshot.sh # 截图服务
│ ├── airi-digestor.sh # 内容消化
│ └── airi-ocr.sh # OCR 文字识别
├── mcp-services/ # 各 MCP 服务的源码
│ ├── memory/ # @agentmemory/mcp
│ ├── screenshot/ # screenshot_mcp_server
│ ├── digestor/ # gwen_digestor
│ └── ocr/ # mcp_ocr
├── character-card/ # Airi 角色卡
│ └── airi-character-card.md
├── state/ # 运行时状态（gitignore）
│ └── xinchao_state.json
└── package.jsonRelated MCP server: Voice-AGI MCP Server
快速开始
# 安装依赖
npm install
# 测试心潮服务
printf '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}\n' | node src/server.js在 Airi 中启用
1. 修改 ~/.hermes/config.yaml
在 mcp_servers 下添加：
mcp_servers:
xinchao:
command: /path/to/airi-xinchao/bin/xinchao.sh
timeout: 602. 修改 Airi 的 mcp.json
{
"mcpServers": {
"xinchao": {
"command": "/path/to/airi-xinchao/bin/xinchao.sh"
}
}
}3. 在角色卡 prompt 末尾添加
{{xinchao_context}}重启 Airi 即可生效。
工具列表
工具 | 说明 |
| 获取当前状态描述，注入 prompt |
| 回传互动事件，更新状态 |
| 查看完整状态详情 |
| 手动结算 |
| 获取心情/能量判断 |
MCP 服务一览
服务 | 功能 | 运行时 |
xinchao | 动态心智状态引擎：驱动力、念头池、疲惫、意图、睡眠状态 | Node.js |
memory | 知识图谱记忆：创建/搜索实体和关系，跨会话持久化 | Node.js |
screenshot | 屏幕截图：捕获用户屏幕并以图片形式返回 | Python |
digestor | 对话压缩：缩减长对话的 token 消耗，管理上下文窗口 | Python |
ocr | OCR 文字识别：从图片/PDF 中提取文本，支持批量和多语言 | Python |
agnes-image | AI 图片生成：根据文字描述生成图片（Agnes Image 2.0/2.1 Flash） | Node.js |
agnes-video | AI 视频生成：根据文字描述生成视频，支持图生视频和配乐 | Node.js |
memory — 知识图谱记忆
基于本地 JSON 文件的轻量知识图谱，支持实体创建、关系管理和语义搜索。Airi 通过它记住用户的偏好、重要约定和对话中的关键信息。
工具：create_entities / create_relations / add_observations / search_nodes / read_graph
screenshot — 屏幕截图
调用系统截图能力，将当前屏幕内容以图片形式返回。Airi 看到截图后可以分析用户在做什么，自然地融入对话。
工具：take_screenshot
digestor — 内容消化 / 对话压缩
当对话变长时自动压缩历史内容，提取关键信息并缩减 token 消耗，让上下文窗口保持在合理范围内。支持多轮摘要和增量压缩。
ocr — OCR 文字识别
使用 Tesseract 引擎从图片和 PDF 中提取文字。支持多语言、批量处理和指定页码范围。Airi 收到用户发的截图或文档照片后可以读取其中的文字内容。
工具：perform_ocr / image_to_data / perform_pdf_ocr / perform_batch_ocr / get_supported_languages
agnes-image — AI 图片生成
调用 Agnes AI 的图片生成 API（OpenAI 兼容），根据文字描述生成图片。支持多种比例和两个模型版本。
工具：agnes_generate_image / agnes_list_models
支持的模型：
Agnes-Image-2.0-Flash — 快速生成，~3s，免费
Agnes-Image-2.1-Flash — 最新模型，质量更好，~3s，免费
agnes-video — AI 视频生成
调用 Agnes AI 的视频生成 API，根据文字描述生成视频（最长 10 秒）。支持 text-to-video 和 image-to-video（用参考图片生成），可选配乐。
工具：agnes_generate_video / agnes_video_status
支持的模型：
agnes-video-v2.0 — text-to-video，支持音频，免费
驱动力系统
十二维驱动力影响 Airi 的回复风格：
表达欲(express) > 0.55 → 更话多、更主动
关心欲(care) > 0.6 → 会主动追问近况
玩心(play) > 0.55 → 语气更轻松俏皮
学习欲(learn) > 0.5 → 更愿意分享知识
疲惫度(fatigue) > 0.7 → 回复变短变安静
Reference
Airi — AI 老婆/虚拟角色灵魂容器
原版心潮 (xinchao-dynamic-mind) — HTTP 长连接版本
License
MIT
Maintenance
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