DMParrot_

ManyChat for agents

You talk. Your agent builds. The engine runs.

DMParrot is the ManyChat playbook rebuilt for agent-native authoring. Humans never open a node editor. Agents call MCP tools; a plain rule engine delivers Instagram DMs.

  1. 01

    Start a trial + connect Instagram

    Pick Starter or Growth on Pricing (card required for the 14-day trial). Sign in with Google, then link your Instagram professional account via Meta OAuth.

  2. 02

    Point your agent at DMParrot MCP

    Paste the remote into Claude Desktop, Claude Code, or ChatGPT. Your agent gets the full ManyChat-style tool surface — funnels, tags, broadcasts, analytics.

  3. 03

    Ask for the funnel. Go live.

    Describe the growth loop in chat. Your agent calls create_comment_to_dm_flow (or wires nodes itself), publishes, and matching Instagram comments get private-reply DMs. No LLM in the send path.

MCP tool surface

What ManyChat puts on a canvas, agents get as tools.

Mid-level MCP tools — expressive enough for real funnels, constrained enough that your agent can't invent something the runtime can't execute.

  • create_comment_to_dm_flow One-shot keyword → DM → tag funnel
  • create_dm_keyword_flow DM keyword auto-reply + optional tag
  • create_story_reply_flow Story reply → DM growth loop
  • simulate_flow Dry-run before publishing
  • send_broadcast Segment blast inside the 24h window
  • publish_flow Take the funnel live
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