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agnt
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typescript
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5 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"standardbeagle-agnt": {
"command": "agnt",
"args": [
"mcp"
],
"env": {
"GIN_MODE": "debug"
}
}
}
}agnt is an MCP server that bridges your AI coding agent with the browser, giving your agent real-time visibility, feedback channels, and interactive tools during vibe coding sessions. It enables your agent to see browser state, receive user feedback, sketch UI ideas, capture errors, and test across devices, all through a streamlined, low-latency workflow.
How to use
You use agnt by connecting it to an MCP client and running it as a local service or remote endpoint. Once connected, your AI agent gains browser visibility and a two-way channel for context, feedback, and instrumented interactions. Start a proxied session, toggle sketch mode when you need to annotate the UI, and let your agent inspect elements, log interactions, and review errors in real time.
How to install
Prerequisites: you need Node.js 18+ or Python 3.11+ depending on how you plan to run agnt.
Install options you can choose from:
Global npm install (recommended)
npm install -g @standardbeagle/agnt
Python with uvw or standard pip install
pip install agnt
# or
uv pip install agnt
From source (build locally)
git clone https://github.com/standardbeagle/agnt.git
cd agnt
make build && make install-local
Configure the MCP server to run agnt
Add agnt as an MCP server entry to your configuration so your MCP client can start and manage agnt.
{
"mcpServers": {
"agnt": {
"command": "agnt",
"args": ["mcp"]
}
}
}
Available tools
proxy
Reverse proxy management to connect the browser and agent for live debugging and data routing
proxylog
Query and fetch logs such as http, error, screenshot, and sketch messages from the proxy layer