MCP-Server

Set up AntFlow as a Model Context Protocol (MCP) server and connect it to your tool.

Setup

For all following steps you need an API-Token.
To create one:

Go to your User Settings in AntFlow.
Go to API tokens and create one with the permissions you want the AI to be able to access.
Remember to write down / copy the displayed API-Token as it is needed later.
It will only be shown once.

Create API-Token

Visual Studio Code

Press: "CTRL + Shift + P (Command Palette)"
Find: "MCP: Open User Configuration"
or for only the Workspace "MCP: Open Workspace Folder Configuration"

Add the following Server Infos to the JSON.

{
 "servers": {
   "antflow": {
     "type": "http",
     "url": "https://app.antflow.de/api/mcp",
     "headers": {
       "Authorization": "Bearer ${input:antflow-api-token}"
     }
   }
 },
 "inputs": [
   {
     "id": "antflow-api-token",
     "type": "promptString",
     "description": "AntFlow API token",
     "password": true
   }
 ]
}

Jetbrains IDE's

Go to "Settings | Tools | AI Assistant | Model Context Protocol (MCP)"

Click Add, choose the HTTP/Streamable HTTP option, and use this JSON

Replace <our-antflow-api-token> with your previously created token.

{
 "mcpServers": {
   "antflow": {
     "url": "https://app.antflow.de/api/mcp",
     "headers": {
       "Authorization": "Bearer <your-antflow-api-token>"
     }
   }
 }
}

Others

Please consult your tool's documentation in how to set-up MCP-Servers.

It will need the following information in one form or another:

Type: "HTTP"
URL: "https://app.antflow.de/api/mcp"
Header: "Authorization: Bearer <your-antflow-api-token>"

Replace <our-antflow-api-token> with your previously created token.