EdgeGate

by frozo-ai

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About

Run edge-AI regression gates on real Snapdragon and Jetson hardware, with signed evidence for CI.

Details

Author
frozo-ai
Categories
Developer Tools

Setup

Install EdgeGate in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/frozo-ai/edgegate-mcp

Follow the installation instructions in the repository README, then restart your MCP client.

MCP server forEdgeGate— set up edge-AI regression gates on Snapdragon devices directly from Claude Code, Cursor, or Claude Desktop.

EdgeGate runs AI model regression tests on real Snapdragon hardware via Qualcomm AI Hub, then produces signed evidence bundles you can attach to CI gates. This npm package exposes EdgeGate's REST API as 61 MCP tools, plus bundled skills, so you can drive the whole flow from a prompt:

> Use the edgegate MCP to set up a CI gate for my MobileNet ONNX model. > Gates: inference_time_ms ≤ 10, peak_memory_mb ≤ 150. > Devices: Galaxy S24, Galaxy S23.
# 1. Generate an API key in the EdgeGate dashboard # https://edgegate.frozo.ai/workspace/<id>/settings#api-keys # 2. Run the installer (writes config for Claude Code / Cursor / Desktop) npx edgegate-mcp-install

If you'd rather edit config files yourself, the server is a standard stdio MCP. Add this to your client's config:

{ "mcpServers": { "edgegate": { "type": "stdio", "command": "npx", "args": ["-y", "edgegate-mcp"], "env": { "EDGEGATE_API_KEY": "egk_live_...", "EDGEGATE_API_URL": "https://edgegateapi.frozo.ai" } } } }

Same shape as Claude Code without thetypefield.

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.jsonon macOS)

Seedocs/tools.mdfor input schemas and examples.

EdgeGate exposes61 MCP tools. This table is generated fromsrc/server.ts— runnpm run docs:toolsafter adding a tool.

- /edgegate-init— full onboarding flow (zero → CI gate)
- /edgegate-gate— trigger a run on an existing pipeline
- /edgegate-status— check a run's status + metrics
- /edgegate-audit— fetch the evidence bundle for a run
- /edgegate-compare— diff two runs (auto-baseline) with REGRESSION/IMPROVEMENT/NEUTRAL verdict
- /edgegate-export— save a run report as a markdown file (for PR comments, Slack, compliance)
- /edgegate-import— import a Hugging Face ONNX model (anonymous, or workspace-token for private / gated / qualcomm-org repos)
- /edgegate-connect-huggingface— attach a personal HuggingFace token to the workspace so the import flow can read private / gated / qualcomm-org repos
- /edgegate-connect-qaihub— connect a Qualcomm AI Hub token so runs can actually compile and profile on Snapdragon devices
- /edgegate-workspace-setup— bootstrap a brand-new workspace end-to-end (create → connect AI Hub → API key → invite teammates)
- /edgegate-members— list / invite / change role / remove workspace members
- /edgegate-promptpacks— list existing promptpacks or create a new one with generated test cases
- /edgegate-byo-storage— Enterprise BYO storage onboarding (register grant → paste External ID → verify probe → first artifact → first run → audit log)

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