postiz-agent 0.3.0

Agent for interacting with Postiz Public API

Postiz Agent - A2A | AG-UI | MCP

Version: 0.3.0

Overview

Postiz Agent MCP Server + A2A Agent

Agent for interacting with Postiz Public API

This repository is actively maintained - Contributions are welcome!

MCP

Using as an MCP Server

The MCP Server can be run in two modes: stdio (for local testing) or http (for networked access).

Environment Variables

• POSTIZ_URL: The URL of the target service.
• POSTIZ_TOKEN: The API token or access token.

Run in stdio mode (default):

export POSTIZ_URL="http://localhost:8080"
export POSTIZ_TOKEN="your_token"
postiz-mcp --transport "stdio"

Run in HTTP mode:

export POSTIZ_URL="http://localhost:8080"
export POSTIZ_TOKEN="your_token"
postiz-mcp --transport "http" --host "0.0.0.0" --port "8000"

A2A Agent

Run A2A Server

export POSTIZ_URL="http://localhost:8080"
export POSTIZ_TOKEN="your_token"
postiz-agent --provider openai --model-id gpt-4o --api-key sk-...

Docker

Build

docker build -t postiz-agent .

Run MCP Server

docker run -d \
  --name postiz-agent \
  -p 8000:8000 \
  -e TRANSPORT=http \
  -e POSTIZ_URL="http://your-service:8080" \
  -e POSTIZ_TOKEN="your_token" \
  knucklessg1/postiz-agent:latest

Deploy with Docker Compose

services:
  postiz-agent:
    image: knucklessg1/postiz-agent:latest
    environment:
      - HOST=0.0.0.0
      - PORT=8000
      - TRANSPORT=http
      - POSTIZ_URL=http://your-service:8080
      - POSTIZ_TOKEN=your_token
    ports:
      - 8000:8000

Configure mcp.json for AI Integration (e.g. Claude Desktop)

{
  "mcpServers": {
    "postiz": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "postiz-agent",
        "postiz-mcp"
      ],
      "env": {
        "POSTIZ_URL": "http://your-service:8080",
        "POSTIZ_TOKEN": "your_token"
      }
    }
  }
}

Install Python Package

python -m pip install postiz-agent

uv pip install postiz-agent

Repository Owners