OpenClaw + ReplyNodes: Publishing From a Telegram Chat

August 1, 2026 · ReplyNodes Team · Updated August 19, 2026

Written by the ReplyNodes engineering team, who build and operate the MCP server, CLI, and integrations this blog covers.

OpenClaw's distinctive context is Telegram. That makes a short voice note or message a natural starting point for a social draft, while ReplyNodes provides the publishing connection underneath it.

A Telegram-first example

Send OpenClaw a voice note summarizing a product update and ask:

“Turn this into a LinkedIn post and an X thread. Show me both drafts, then schedule them for Monday morning after I approve.”

OpenClaw can transcribe the note, prepare the two channel-specific drafts, and return the review request in the same Telegram conversation. The ReplyNodes workflow still needs to identify the connected destinations and their required fields before scheduling. The MCP server page documents integrationList, groupList, integrationSchema, and integrationSchedulePostTool for that sequence.

The chat is casual; the publishing boundary is not. Keep the workspace configured for approval-required publishing while testing, and use the ReplyNodes calendar when a visual review is easier. Auto-publish remains a per-channel choice, not a consequence of sending a confident Telegram message.

Why this is different from the other integrations

Claude Code brings repository context, Codex brings a release or CI trigger, and Hermes is suited to a multi-channel campaign brief. OpenClaw brings an always-available conversational surface in Telegram. That makes it convenient for quick capture and revision, but also makes explicit confirmation and a narrow tool scope especially important.

Connected-integration availability matters. The public ReplyNodes page lists media tools such as uploadFromUrlTool and generateImageTool, but a client should use them only when the destination exposes them. Do not assume every network accepts the same media or post fields.

Setup

Use the OpenClaw integration page for the integration walkthrough and the MCP server page for the current remote endpoint, authentication, and tool catalog. If you want to review the broader approval design, read Approval workflows for AI-generated social content.