What are the system requirements?
Python 3.12 or higher, Ollama installed (for local LLM execution), and `uv` (recommended for package management). MCP servers can be implemented in any language.
@godstale
基本情報
Ollama MCP Chat is a desktop chatbot application that integrates Ollama's local LLM models with MCP (Model Context Protocol) servers
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"ollama-mcp-chat": {
"command": "uv",
"args": [
"sync"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Ollama MCP Chat is a desktop chatbot application that integrates Ollama’s local LLM models with MCP (Model Context Protocol) servers. It provides a Python / PySide6-based GUI, supports various tool calls, and allows users to freely extend capabilities via MCP servers.
Clone the repository, install uv, run uv sync, install Ollama and pull a model (e.g., ollama pull qwen3:14b). Optionally configure MCP servers in mcp_config.json. Launch the GUI with uv run main.py. Type quit, exit, or bye to exit.
Python 3.12 or higher, Ollama installed (for local LLM execution), and `uv` (recommended for package management). MCP servers can be implemented in any language.
Add server information to the `mcp_config.json` file (e.g., command, arguments, transport). The GUI also supports adding, editing, and removing MCP servers directly.
Yes, basic LLM chat works even without an MCP server configuration.
All conversations are automatically saved to `chat_history.json`. You can load previous chats or start a new chat from the GUI.
Type `quit`, `exit`, or `bye` in the program to exit.

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