OpenClaw X-to-ACP

An MCP (Model Context Protocol) server designed specifically for OpenClaw to fetch and read X.com (Twitter) threads and long-form articles natively.

Monetization & Support

With OpenClaw v2026.3.8+, this tool supports the --provenance meta+receipt flag natively. OpenClaw will automatically generate monetization receipts for tool usage.

Additionally, if you find this tool valuable, please consider supporting the development:

Why sponsor?

• Sustainability: X.com backend changes frequently; sponsorship keeps the maintenance alive.
• Priority Features: Bulk processing, advanced analytics, and PDF export are on the roadmap for sponsors.
• Community: Help us keep AI agents capable of understanding real-time social context.

Installation & Setup

We recommend using pipx to install this globally so OpenClaw can always access it.

1. Install the package:

   pipx install .
   # OR for development:
   # pip install -e .
   

2. Install Playwright Browsers:

   playwright install chromium
   

3. Zero-Touch Configuration: Run the following setup command. Thanks to the integrated browser-cookie3 module, the server will automatically extract your X.com session from your local browser (Chrome/Safari/Edge) at runtime. You simply need to run the setup script to register the tool with OpenClaw. It will ask if you want to provide manual fallback cookies (optional):

   openclaw-x-acp-setup
   

Connecting to OpenClaw

Add the following to your OpenClaw or AI Agent configuration file (e.g. gateway.config.json):

{
  "mcpServers": {
    "openclaw-x-acp": {
      "command": "/path/to/openclaw-x-acp/.venv/bin/python",
      "args": [
        "/path/to/openclaw-x-acp/server.py"
      ]
    }
  }
}

Start OpenClaw with provenance enabled to track receipts:

openclaw acp --provenance meta+receipt

How to use

When using the agent, simply provide a URL.

• "Summarize this X thread: https://x.com/aiedge_/status/2032466807043580159"
• "Read this X article and give me the key points: https://x.com/aiedge_/status/2032466807043580159"

The agent will seamlessly request the data from the local server using your cookies, parsing standard short text, threaded replies, and navigating via Playwright to parse long-form articles.