What are the runtime requirements?
Python 3.8 or later, pip or conda, and standard dependencies (ChromaDB, Sentence Transformers) installed via `requirements.txt`.
@HarmoniaEpic
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-character-vector-database": {
"command": "python",
"args": [
"main.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP Server the Character Vector Database is a vector database system for managing complex internal states, emotions, relationships, and memories of agentic AI characters. It integrates with AI assistants through the Model Context Protocol (MCP) and is intended for AI character developers.
Install Python 3.8+, clone the repository, and install dependencies with pip install -r requirements.txt. Start the MCP server with python main.py, or python main.py test for test mode. Configure it in Claude Desktop by adding the server command to claude_desktop_config.json.
Python 3.8 or later, pip or conda, and standard dependencies (ChromaDB, Sentence Transformers) installed via `requirements.txt`.
Delete the `./chroma_db` directory and restart the server to force reinitialization.
No dynamic compilation, no pickle, no subprocess calls, path traversal attack prevention, secure file permissions, and strict session ID validation.
Sessions can be started (`start_session`), resumed (`resume_session`), and exported (`export_session_data`). Session state includes oscillation buffer data and is stored in secure JSON files.
The system supports 19 data types including conversation, memory, internal state, relationship, engine state, oscillation pattern, and character profile data.

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