LocalMind

Name: LocalMind
Author: timosur

@timosur

LocalMind について

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.

#mcp #rag #llm #mcp-server

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

公開者

timosur

設定

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

ツールは検出されませんでした

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。

概要

What is LocalMind?

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.

How to use LocalMind?

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.

Key features of LocalMind

Local LLM chat app with MCP protocol support
Uses Azure OpenAI as the LLM backend
Includes an optional RAG (Retrieval-Augmented Generation) MCP Server
Development scripts for frontend and Tauri app
Configurable MCP server connections via YAML file

Use cases of LocalMind

Running a local chat interface that connects to multiple MCP servers.
Developing and testing MCP server integrations with a local LLM.
Experimenting with RAG workflows using Azure OpenAI embeddings and chat models.
Building and debugging a Tauri-based desktop app with an MCP backend.

FAQ from LocalMind

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.

How do I configure MCP servers in LocalMind?

MCP servers are defined in a config.yaml file in the backend folder, specifying the server name, command, and arguments.

Does LocalMind support the RAG functionality?

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.

Where does the conversation data live?

The README does not specify data persistence details. —

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