What Python version is required?
Tiny Chat is tested with Python 3.10 or later.
Tiny Chat MCP Server
@to-aoki
Basic information
About Tiny Chat MCP Server
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.
Tiny Chat MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"tiny_chat": {
"command": "python",
"args": [
"-m",
"build"
]
}
}
}Tiny Chat MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Tiny Chat?
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.
How to use Tiny Chat?
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.
Key features of Tiny Chat
- Web interface built with Streamlit
- MCP server integration for Claude Desktop
- OpenAI-compatible Chat Completions API
- RAG (Retrieval-Augmented Generation) using Qdrant
- Local database support (with DB_CONFIG)
Use cases of Tiny Chat
- Provide a local chat interface with RAG knowledge retrieval
- Connect Claude Desktop to a custom Qdrant-backed knowledge base
- Serve as an OpenAI-compatible backend for custom frontend applications
- Run a minimal chat system with or without a database
Frequently asked questions
How do I set up the MCP server for Claude Desktop?
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.
What does the `model` parameter do in the API?
The `model` parameter in the Chat Completions request specifies the target Qdrant collection name. Changing the model changes which collection is searched.
Can I run Tiny Chat without a database?
Yes. Use the `--database` flag to enable database mode; omitting it runs the application without a database backend.
What transport does the MCP server use?
The MCP server is launched as a subprocess (command) by Claude Desktop; the README does not specify the transport protocol.
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