🌐 LifeFlow Remote FastMCP Servers (Cloud Intelligence Hub)

LifeFlow Remote MCP is a cloud-deployable, standalone Model Context Protocol (MCP) microservice built with FastMCP communicating over Server-Sent Events (SSE / HTTP) transport.

It provides real-time public telemetry and global market intelligence to any AI client worldwide — without requiring local workstation access.

⚡ Live Cloud Deployment URL

Once deployed on FastMCP Cloud (Prefect Horizon) or any cloud container, this server is accessible at:

https://2in1cryptoweather.fastmcp.app/mcp

(Or your local/custom SSE endpoint: http://localhost:8001/sse)

Related MCP server: FinAgent

🛠️ Exposed Tools & Capabilities

All tools are bundled into the unified LifeFlowCloudIntelligence server:

📦 Exposed Resources

• resource://cloud/status — Live health telemetry and external API availability check.

🔌 How to Connect to Claude Desktop or Cursor IDE

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "lifeflow_remote_cloud": {
      "url": "https://2in1cryptoweather.fastmcp.app/mcp"
    }
  }
}

Now Claude Desktop can immediately convert currencies, look up cryptocurrency values, and check weather/living costs globally without installing anything locally!

🚀 Local Development & Testing

1. Clone & Install

git clone https://github.com/yashsham/lifeflow-remote-mcp.git
cd lifeflow-remote-mcp
pip install -r requirements.txt

2. Run Server

# Start server on http://localhost:8001/sse
python server.py

🐳 Docker Container Deployment

# Build Docker image
docker build -t lifeflow-remote-mcp .

# Run container on port 8001
docker run -d -p 8001:8001 --name lifeflow-remote lifeflow-remote-mcp

🔗 Related Ecosystem Projects

• 🏠 lifeflow-local-mcp: Privacy-first on-device FastMCP servers for personal finance and habits via stdio.

• ⚡ lifeflow-mcp: Full-stack master platform with Custom MCP Client, NVIDIA NIM AI Brain, and Live Protocol Inspector.

📄 License

Released under the MIT License.