Ranla MCP ServerVerifiedFeatured

Ranla is an AI growth agent for software businesses. It writes and ships pages that rank on Google, gets your product named in AI answers, replies on Reddit, and sends the emails that turn sign-ups into customers. Connect it to your agent and ask how growth is going, have Ranla do the work, and see what it shipped.

The same workspace also sends transactional email: receipts, sign-in codes, alerts.

Endpoint: https://mcp.ranla.ai/mcp (Streamable HTTP) Auth: OAuth. Your client opens a browser sign-in on first use; there's no API key to paste.

Connect

Claude Code ​bash claude mcp add --transport http ranla https://mcp.ranla.ai/mcp ​

Claude (web and desktop): Settings → Connectors → Add custom connector → https://mcp.ranla.ai/mcp

Cursor (.cursor/mcp.json) ​json { "mcpServers": { "ranla": { "url": "https://mcp.ranla.ai/mcp" } } } ​

You need a Ranla account. Sign up free at ranla.ai.

What you can ask

• "How is growth going this week?"
• "Ask Ranla to draft an email for people who signed up but never activated."
• "Which pages did Ranla publish this month, and where do they rank?"
• "What's waiting on me in Ranla?"
• "Send a password-reset email from my verified domain."

Tools

Growth agent

• arc_message: ask Ranla for anything that needs research or judgement (strategy, campaigns, pages, replies)
• arc_ranla: run one of Ranla's commands directly, e.g. campaign list or page propose
• arc_ensure_thread, arc_list_threads, arc_get_thread: your conversations with Ranla
• arc_list_approvals, arc_approve, arc_reject: answer what Ranla needs a yes on before it sends, spends or publishes

Transactional email

• send_email, list_emails, get_email, cancel_email
• list_received_emails, get_received_email
• list_domains, get_domain, create_domain, apply_domain_dns, verify_domain
• list_templates, get_template, create_template, publish_template
• list_webhooks, create_webhook, delete_webhook, send_test_webhook_event
• list_suppressions, add_suppression, remove_suppression
• get_deliverability

Every tool describes its inputs and returns structured output.

Links

• Website: https://ranla.ai
• MCP docs: https://docs.ranla.ai/ai/mcp
• Claude Code plugin: https://github.com/Super-Send/ranla-claude-plugin
• Agent skills: https://github.com/Super-Send/ranla-skills
• MCP Registry: ai.ranla/ranla
• Support: contact@ranla.ai