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Ask Claude to schedule posts, build comment-to-DM flows and answer your Instagram and Facebook inbox. It calls Chat33's tools; anything that goes out waits for your yes.
Paste this into Claude
Set up Chat33 from chat33.io/claude
Works on every plan, including Free. No API key: you sign in in your browser.
Plain requests. The tool names show what runs behind each one.
“Schedule this video to Instagram, TikTok and YouTube for Friday at 6pm.”
“Build a comment-to-DM flow: comment GUIDE, get the PDF link.”
“Which of last week's posts got the most comments?”
“Show me unanswered DMs about price and draft replies.”
“Reply to the questions under my last reel.”
“Why did my TikTok post fail yesterday?”
You stay in charge. Claude confirms the account, text and time before it posts, creates automations as drafts until you switch them on, and shows you every DM or comment reply before it is sent. Disconnect it any time in Settings → API Keys → Connected AI apps.
01
Paste the prompt into Claude Code. It adds Chat33 for you.
02
Open a new terminal tab, run claude /mcp, pick chat33 → Authenticate and approve in your browser.
03
Paste the same prompt in the new chat. Claude checks your accounts and asks what to do first.
claude mcp add --transport http --scope user chat33 https://chat33.io/api/mcp/mcp
Settings → Connectors → Add custom connector Name: Chat33 URL: https://chat33.io/api/mcp/mcp
https://chat33.io/api/mcp/mcp
When you paste the prompt, Claude reads this page and follows these steps. Nothing here is hidden.
Chat33 setup for Claude Code (for Claude Desktop or claude.ai, tell the user to add a custom connector with the endpoint below and click Connect, then continue at step 3). Source: https://chat33.io/claude Give only the next action for the user's current stage. Put every command in its own code block. Never ask the user for an API key and never print OAuth URLs; sign-in happens in their browser. No Chat33 account yet? They can create a free one at https://chat33.io/register 1. Register the server. Run `claude mcp get chat33`. If it is already registered, go to step 2. If it is missing, run: claude mcp add --transport http --scope user chat33 https://chat33.io/api/mcp/mcp Registration is not sign-in, and this session cannot load a server added during it. Tell the user: open a new terminal tab, run `claude /mcp`, choose chat33 → Authenticate, approve in the browser, then paste "Set up Chat33 from chat33.io/claude" in that new session. Stop here. MCP endpoint: https://chat33.io/api/mcp/mcp 2. Sign in. If chat33 tools are already available in this session, call whoami now: success → go to step 3; an auth error → tell the user to type /mcp, choose chat33 → Authenticate, approve in the browser and reply done; then call whoami again. If chat33 tools are not available in this session: tell the user to type /mcp, choose chat33 → Authenticate, approve in the browser and reply done. Do not call any tool until they say it is done. 3. Verify. Call whoami, then list_accounts. If no social account is connected, send the user to https://chat33.io/channels to connect one, then call list_accounts again. When both succeed, say Chat33 is ready, list each connected account on its own line, then show exactly this menu: Choose your first task — reply with a number: 1. Write and schedule a post 2. Create a comment → DM automation 3. See how my recent posts performed 4. Check my Instagram / Facebook inbox 5. Reply to comments on a post 4. For every task: confirm platform, account, text and time (with timezone) before creating a post; call validate_post before create_post. create_flow makes an automation as a draft; call set_flow_status with ACTIVE only when the user asks to switch it on. Never send a DM or comment reply without first showing the exact text and recipient and getting approval. DM replies only work within 24 hours of the contact's last message. 5. Finish with a verified result: show the scheduled time, automation status or sent message the tool returned. If only setup is done, say the connection is ready. Do not claim a task ran. Reference: tools https://chat33.io/mcp · REST API https://chat33.io/llms.txt