DMParrot_

DMParrot_

ManyChat for agents.

Instagram comment-to-DM funnels your AI builds over MCP — deterministic private replies, no canvas.

From chat to live funnel

Describe the loop. Your agent ships the graph.

Tell Claude or ChatGPT the ManyChat-style growth loop. DMParrot turns the tool call into a deterministic comment-to-DM flow.

You

When someone comments DEAL on my latest post, DM them my course link with a 20% code and tag them deal-comment.

Agent → DMParrot

comment DM # 24h send tag wait
published

ManyChat for agents

The growth loops creators know — built by agents, not canvases.

Comment keywords, private-reply DMs, tags, story replies, and broadcasts. The playbook stays familiar; authoring moves into MCP tools your agent already speaks.

FAQ

Agent-native DM automation, answered

What is DMParrot?

ManyChat for agents: Instagram DM automation where your AI builds flows over MCP, and a deterministic engine runs comment and DM replies live.

What does “ManyChat for agents” mean?

Same Instagram growth loops — keyword triggers, private-reply DMs, tags, broadcasts — but authoring is agent-first through MCP tools instead of a visual flow builder.

Which AI agents work with DMParrot?

Any MCP client: Claude Desktop, Claude Code, ChatGPT connectors, and other agents that call remote MCP tools.

Do I need a paid plan to publish?

Yes. Start a 14-day free trial (card required) on Pricing, then let your agent publish live flows.