Atlas MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Atlas MCP Serverlist files in workspace root"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🚀 Atlas: Agentic MCP Workspace Assistant
Atlas is a professional-grade Model Context Protocol (MCP) ecosystem designed for workspace management and system orchestration. It features a reactive Gradio Dashboard and a high-performance MCP Server that bridges the gap between human users and AI agents.
🌟 Key Features
🖥️ 1. Atlas Dashboard (app.py)
A modern, reactive multi-tab interface:
🤖 Smart Assistant: Chat with an LLM that is directly connected to Atlas's local tools.
📁 Workspace Explorer: Live view of your project files with real-time status.
📈 System Monitor: Real-time gauges for CPU and Memory usage using
psutil.📝 Persistent Notes: A structured system to save and retrieve markdown notes.
🏛️ 2. Atlas MCP Server (atlas_server.py)
A comprehensive server that exposes your workspace to local agents (like Claude Desktop):
🛠️ Tools:
get_weather: Professional real-time weather integration.add_note/list_notes: File-system backed persistent storage.list_files/read_workspace_file: Secure-path-constrained file operations.
📚 Resources:
system://metrics: JSON-ready system stats.notes://{title}: Dynamic URI scheme for note retrieval.
Related MCP server: Sentinel Core Agent
🏗️ Architecture
graph TD
User[Human User] -->|Interacts| UI[Gradio Dashboard]
UI -->|Calls| Server[Atlas MCP Server]
Agent[Claude/GPT-4o] -->|Connects via stdio| Server
Server -->|Actions| Files[Local Filesystem]
Server -->|Monitoring| Sys[System Metrics]
Server -->|External| Weather[Open-Meteo API]🚀 Getting Started
1. Prerequisites
Python 3.10+
Dependencies:
pip install mcp psutil gradio httpx
2. Run the Dashboard
python app.pyThis will launch a local server (usually at http://localhost:7860).
3. Connect as an MCP Server
To use these tools inside Claude Desktop, add this to your config:
{
"mcpServers": {
"atlas-assistant": {
"command": "python",
"args": ["/absolute/path/to/atlas_server.py"]
}
}
}🏛️ Project Structure
app.py: The reactive frontend.atlas_server.py: Core MCP logic & tools..notes/: Directory for persistent workspace data.simple_mcp/: Original fundamentals lab.
⚖️ License
MIT License. Created by good2idnan.
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