in progress

🎬 Frame Pulse MCP

GitHub Sponsor PayPal Python 3.10+ MCP Protocol Streamlit

AI-native telemetry for creative workstations.
Give your AI assistant (Claude, Hermes, Cursor) a "nervous system" to monitor and govern heavy creative workloads—Blender renders, Unreal builds, Houdini simulations—preventing thermal crashes and lost work during crunch.

---

🎯 The Problem Frame Pulse Solves

Digital content creation (DCC) tools are resource-intensive. During overnight renders or UE5 lighting builds, workstations overheat, hang, or crash—destroying hours of work and missing deadlines.

Existing tools (Glances, htop) show data. Frame Pulse lets AI act.

Traditional Monitoring	Frame Pulse with AI
You watch numbers	Claude asks "Is my system safe?"
Crash after the fact	Throttle before thermal damage
Manual Task Manager	Natural language "deprioritize Chrome"
Silent failure	Discord/Telegram alerts at 2AM

---

🚀 Quick Start

Option A: Claude Desktop (Recommended)

1. Clone and install

git clone [https://github.com/idaakiwumi/frame-pulse-mcp.git](https://github.com/idaakiwumi/frame-pulse-mcp.git)
cd frame-pulse-mcp
pip install -r requirements.txt

2. Add to Claude Desktop config

   • Windows (MSIX/Store): %LOCALAPPDATA%\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude\claude_desktop_config.json

   • **Other possible paths \AppData\Roaming\Claude\claude_desktop_config.json \AppData\Local\Claude\claude_desktop_config.json

   • Standard: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "frame-pulse": {
      "command": "py",
      "args": [
        "-3.14",
        "-u",
        "C:\\Users\\YOUR_PATH\\frame-pulse-mcp\\src\\frame_pulse\\server.py"
      ]
    }
  }
}

Then ask Claude: "Check my system status" or "Deprioritize my background apps"

Option B: The "Hero Demo" (Streamlit)

I built a high-fidelity Mission Control Dashboard using Streamlit. While the MCP runs in the background, this dashboard serves as the visual command center for the project.

streamlit run streamlit_app/mission_control.py

---

📱 The "Digital Pager" Ecosystem (Telegram & Discord)

As a Product Architect, I designed Frame Pulse to be "Headless." Creative professionals don't want another window to monitor; they want an assistant that pings them when they are away from their desk.

• Telegram Bot: Acts as a private production pager. Get a message on your phone if your CPU hits 90°C while you're grabbing coffee.
• Discord Webhooks: Rich, color-coded embeds sent to your studio's Discord server for team-wide render farm monitoring.

Setup: Configure your .env file with your TELEGRAM_BOT_TOKEN and TELEGRAM_CHAT_ID.

---

🛠️ MCP Tools for AI Agents

Tool	Function	Use Case
check_system_health()	CPU, RAM, and Thermal scan	"Is it safe to start a 6-hour render?"
scan_creative_apps()	Identifies Blender, Unreal, Maya, etc.	"What's currently taxing the GPU?"
emergency_throttle()	Immediate CPU priority reduction	"CRITICAL: Throttle background apps now."
get_thermal_status()	Real-time temperature read	"Am I at risk of a thermal shutdown?"

---

🤝 Community & Recognition

**Featured on Lobehub — AI tools discovery platform.

🛠️ Built With

• MCP — Model Context Protocol for AI tool interoperability
• FastMCP — Python SDK for MCP servers
• psutil — Cross-platform system monitoring
• Streamlit — Rapid Python dashboarding

📸 Demo

[30-second GIF: Claude asking "Start my render?" → Frame Pulse responding "CAUTION: CPU 89%" → User clicking throttle → Success toast]

🤝 Who's Using This

"Frame Pulse caught a thermal spike before our overnight farm render. Saved us 14 hours of redo work."
— Anonymous VFX Supervisor (via DM)

☕ Support the Mission

If this tool saved your render from thermal throttling, prevented a 3AM crash, or helped your AI agent make hardware-aware decisions—consider fueling continued development:

• Sponsor on GitHub
• Donate via PayPal

---

👩🏽‍💻 Developed by Ida Akiwumi

Lead Product Designer | Creative Technologist | Narrative Strategist

Translating user friction into product opportunities.

LinkedIn