What dependencies does LocalMind require?
LocalMind requires Python (with venv and pip), Node.js (for frontend), and an Azure OpenAI subscription with API key, endpoint, deployment, and version configured in `.env`.
@timosur
基本情報
LocalMind is an local LLM Chat App fully compatible with the Model Context Protocol. It uses Azure OpenAI as a LLM backend and you can connect it to all MCP Servers out there.
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": {
"localmind": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}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。
LocalMind is a local LLM Chat App fully compatible with the Model Context Protocol (MCP). It uses Azure OpenAI as the LLM backend and allows users to connect to any MCP server. It is intended for developers who want to run a local chat interface that integrates with various MCP-compatible services.
To use LocalMind, create a .env file in the backend folder with Azure OpenAI credentials and a config.yaml file specifying MCP server definitions. For frontend development, run ./dev.sh frontend-dev; for the Tauri app, run ./dev.sh app-dev. An optional RAG MCP server can be set up by creating a venv in the rag folder and adding its config to config.yaml.
LocalMind requires Python (with venv and pip), Node.js (for frontend), and an Azure OpenAI subscription with API key, endpoint, deployment, and version configured in `.env`.
MCP servers are defined in a `config.yaml` file in the backend folder, specifying the server name, command, and arguments.
Yes, LocalMind includes an optional RAG MCP Server that can be set up by creating a Python virtual environment in the `rag` folder and adding its configuration to `config.yaml`. It uses Azure OpenAI for embeddings and chat.
The README does not specify data persistence details. —

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