Agent Skills

Tiny Chat

A simple chat application that requires an external database configuration.

Install

Install and configure the MCP from https://github.com/to-aoki/tiny_chat now. Follow the repository's installation instructions, ask me for anything you can't complete yourself, and verify its tools load.
README

Tiny Chat

Installation

Tested with Python 3.10 or later

Development Installation

pip install -r requirements.txt

Package Installation

# Build the package
pip install build
python -m build

# Install the built package
pip install dist/*.whl

Web Interface Usage

Running from source (development)

streamlit run tiny_chat/main.py --server.address=127.0.0.1

only database (development)

streamlit run tiny_chat/main.py --server.address=127.0.0.1 -- --database

Running installed package

tiny-chat

only database

tiny-chat --database

MCP Usage

Claude Desktop example.

{
  "mcpServers": {
    "tiny-chat": {
      "command": "/path/to/tiny_chat/.venv/bin/tiny-chat-mcp",
      "env": {
        "DB_CONFIG": "/path/to/tiny_chat/database_config.json"
      }
    }
  }
}

OpenAI Chat API RAG Server Usage

tiny-chat-api

model: target search qdrant collection name (model change in conversation).

curl http://localhost:8080/v1/chat/completions   -H "Content-Type: application/json"   -d '{"model": "qdrant-collection-name", "messages": [{"role": "user", "content": "カレーライスの材料は?"}]}'

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