Public Gateway MCP
OfficialClick 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., "@Public Gateway MCPshow me the latest backup status"
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.
Public Gateway MCP
Bring Axcient into your AI workflow — instantly.
Public Gateway MCP connects your favorite AI assistants directly to Axcient. Ask questions, pull insights, and take action — all through natural conversation. No dashboards to hunt through. No context switching. Just answers.
Why you'll love it
Plug and play — Drop it into Cursor, Claude Desktop, or any MCP-compatible client and go.
Real data, real time — Your AI tools work with live Axcient information, not stale snapshots.
Built for builders — Designed for teams who want their agents to do things, not just talk about them.
Related MCP server: Vectra AI MCP Server
Quick start
Prerequisites
Python 3.12+
uv (recommended)
Install
git clone https://github.com/axcient/public-gateway-mcp.git
cd public-gateway-mcp
uv syncConfigure
Set your Axcient API key:
export API_KEY="your-api-key-here"Run
uv run public-gateway-mcpThat's it. Your MCP server is live.
Connect your AI client
Add Public Gateway MCP to your MCP client configuration and point it at the running server. Once connected, your assistant can interact with Axcient on your behalf.
Tip: Restart your AI client after adding the server so it picks up the new tools.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Axcient/public-gateway-mcp'
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