MCP.so
Sign In

LocalMind

@timosur

Repository

About LocalMind

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

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "localmind": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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. —

Frequently asked questions

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. —

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

timosur

More AI & Agents MCP servers

🛡️ A.I.G（AI-Infra-Guard）

Tencent

A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

4.1K

Web Agent Protocol

OTA-Tech-AI

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

500

1MCP - One MCP Server for All

1mcp-app

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.

468

Mcp Agent

lastmile-ai

Build effective agents using Model Context Protocol and simple workflow patterns

8.4K

欢迎来到 智言平台

Shy2593666979

AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。

797