Snoooz MCP lets you connect your Snoooz workspace to MCP-compatible AI assistants so you can manage email automation in plain language.
You can use Snoooz MCP to create rules, configure AI replies, set up automatic follow-ups, train Snoooz, preview replies, and troubleshoot mailbox automation without manually clicking through every setting.
What is MCP?
MCP stands for Model Context Protocol. It lets AI assistants securely connect to tools like Snoooz, so the assistant can understand your workspace and help you take actions with your approval.
When you connect Snoooz through MCP, the assistant can help you manage Snoooz based on your role and permissions.
Snoooz MCP server URLs
Choose the endpoint that matches your Snoooz account region.
Global / US:
https://app.snoooz.ai/mcp
EU:
https://app-eu.snoooz.ai/mcp
If you normally sign in at app.snoooz.ai, use the Global / US URL.
If you normally sign in at app-eu.snoooz.ai, use the EU URL.
What can I do with Snoooz MCP?
Once connected, your AI assistant can help you:
View and explain your Snoooz rules
Create new automation rules
Update, pause, delete, or reorder rules
Configure AI replies
Create draft-only workflows for human review
Configure automatic follow-ups
Manage templates, labels, and categories
Train Snoooz from FAQs, PDFs, CSVs, websites, and help-center content
Preview how Snoooz would reply to a test email
Simulate which rule would match an email
Check mailbox connection and automation health
Troubleshoot why Snoooz did or did not respond
Automatic follow-ups
Snoooz supports rule-level automatic follow-ups.
For rules that send or draft replies, you can configure follow-ups such as:
Send or draft follow-up messages
Follow up after a chosen number of days
Add flexible timing
Limit the maximum number of follow-ups
Keep follow-ups within working hours
Add custom follow-up instructions
Include existing attachments when needed
Example prompts:
Configure my sales lead rule to send follow-ups every 3 days, up to 2 times.
Make this rule draft follow-ups instead of sending them automatically.
Add follow-up instructions: keep it short, ask if they had time to review, and offer to schedule a call.
Training Snoooz
Snoooz can use stored training knowledge when drafting replies.
Depending on your workspace setup, Snoooz can be trained from sources such as:
FAQs
PDFs
CSVs
Websites and webpages
SharePoint
Zendesk
Intercom
Document360
Example prompts:
Train Snoooz from this FAQ: Q: What is your refund policy? A: ...
Search existing training articles about refunds.
Update the onboarding training article with this improved answer.
Runtime context from connected systems
Some connected systems are used at runtime instead of being stored as training knowledge.
For example, Snoooz may look up relevant context from connected systems while processing an email, such as CRM, ERP, ecommerce, or helpdesk data.
Examples may include:
Salesforce
HubSpot
Odoo
SAP
Microsoft Dynamics
Shopify
WooCommerce
Zendesk
Intercom
Stored training and runtime context are different:
Stored training is imported and embedded as knowledge.
Runtime context is looked up when Snoooz processes an email and decides that connected business data may be useful.
Example prompts
View your setup
Show me all the rules I have set up in Snoooz and explain what each one does.
What mailboxes are connected to my Snoooz workspace and are they all active?
Create or update rules
Create a draft-only AI rule for customer support questions.
Create a rule that sends AI replies to sales leads and uses a friendly, concise tone.
Update my Leads rule to add “trial” and “free plan” as trigger keywords.
Test and preview
Simulate which Snoooz rule would match this email: [Paste email here]
Preview the reply Snoooz would generate for this email: [Paste email here]
Explain why Snoooz would or would not reply to this email.
Diagnose issues
Check why Snoooz is not replying from my mailbox.
Run a full AI readiness check on my Snoooz workspace and tell me what I should improve.
Find rules that may produce generic AI drafts.
Is it safe?
Snoooz MCP uses OAuth. When you connect from an AI assistant, you will be asked to sign in to Snoooz and approve access.
The assistant only gets access according to the permissions granted to your Snoooz account.
Snoooz MCP should not expose passwords, mailbox credentials, OAuth refresh tokens, webhook secrets, or raw internal prompts.
Which assistant should I use?
You can use Snoooz MCP with supported MCP-compatible assistants and app builders.
For platform-specific setup, see:
You can also use the same MCP server URL in other tools that support custom remote MCP servers.
Developer / registry listing
Snoooz MCP is also published in the official MCP Registry as:
io.github.snoooz-ai/snoooz-mcp
Public docs:
Need help?
Contact Snoooz support from inside the Snoooz app.