What Python version is required?
Tiny Chat is tested with Python 3.10 or later.
@to-aoki
基本信息
This is an LLM application with chat functionality, featuring chat using RAG, a database, and MCP server capabilities. The UI is designed for Japanese users.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"tiny_chat": {
"command": "python",
"args": [
"-m",
"build"
]
}
}
}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。
Tiny Chat is a chat application with an MCP (Model Context Protocol) server, a web interface, and an OpenAI-compatible RAG API. It integrates with Qdrant for retrieval-augmented generation and supports local databases. It is intended for developers and Claude Desktop users who need a self-hosted chat system with retrieval capabilities.
Install the package via pip, then run the web interface using tiny-chat (or streamlit run tiny_chat/main.py for development). Configure the MCP server in Claude Desktop by specifying the path to the tiny-chat-mcp binary and a DB_CONFIG environment variable. Alternatively, start the OpenAI Chat API RAG server with tiny-chat-api and query it using the model name set to a Qdrant collection name.
Tiny Chat is tested with Python 3.10 or later.
Add a JSON entry to your Claude Desktop configuration with the command pointing to the `tiny-chat-mcp` binary and the environment variable `DB_CONFIG` set to the database configuration file path.
The `model` parameter in the Chat Completions request specifies the target Qdrant collection name. Changing the model changes which collection is searched.
Yes. Use the `--database` flag to enable database mode; omitting it runs the application without a database backend.
The MCP server is launched as a subprocess (command) by Claude Desktop; the README does not specify the transport protocol.

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