Mail2Cloud Advanced
Connecting Agentic AI to the Organization's Email Content
Mail2Cloud Advanced is a high performance service connecting your AI with your organization's Email content through a variety of interfaces, including MCP, GPT, and API.
Mail2Cloud Advanced allows AI to work with large email volumes - delivering accurate results quickly.
With mxHERO Mail2Cloud Advanced, your organization can apply the power of Agentic AI across the largest segments of your team’s email content.
See mxHERO Mail2Cloud Advanced Model Context Protocol (MCP) in action…
Demonstration of Mail2Cloud Advanced integrated through MCP.
Save time finding critical emails
The insights and context within email is valuable to you. With mxHERO’s Mail2Cloud Advanced, unlock its potential. In simple, natural language you can explore emails' value, searching across multiple email accounts (e.g. current or former staff) or based on email content themes (e.g. legal cases, projects, or otherwise)! Your Agentic AI potential is only as powerful as the underlying data, with mxHERO’s Mail2Cloud Advanced, we help you unlock its superpower.
Example use of Mail2Cloud Advanced through a custom ChatGPT GPT
Unlock the context, insights and value of your email!
Key Benefits
High Performance
Search across the largest email repositories. mxHERO Mail2Cloud Advanced overcomes the strict limitations of AI context windows through data optimization, NLP (natural language processing), and metadata filtering.
Multiple Accounts
mxHERO Mail2Cloud Advance’s MCP, automatically captures emails for Agentic AI automation and search from multiple (expressly targeted accounts or by email theme). For example, select messages between your organization and its customers, i.e., restricting search only to customer communications. Define other capture rules by From, To, content keywords (e.g. legal cases, project ID numbers CUI flags, support cases, etc). AI Agents can then interact with that content via Mail2Cloud Advanced – with the guardrails, security and visibility model of your organization’s choosing!.
Messages & Attachments
Search across email messages and their attachments.
Secure Search
mxHERO Mail2Cloud Advanced end-user authentication and data architecture ensures user or Agentic AI workflows are confined to only permitted communications or email-based content. You’re in control!
Original Message Source Access & Viewing
Original email messages are preserved in your organization or agency’s content management platform (e.g. Box, Egnyte, Google Drive, One Drive, etc.). mxHERO’s Mail2Cloud Advanced then allows for Agentic AI search and workflow automation; all validated at the source level and the solution ensures that source email messages are safe from end user deletion or as aligned to organization retention policies.
Vector search results include links to source emails converted to PDF for high fidelity AI response validation
Easy to Use
Flexible Deployment Options
Connect your AI to Mail2Cloud Advanced AI in one of several ways:
MCP (Model Context Protocol)
Leverage mxHERO’s Mail2Cloud Advanced MCP with your A2A or Agentic AI workflows in your MCP client (e.g. Claude for Desktop, etc).
https://github.com/mxaiorg/mxmcp
ChatGPT GPT
Access through ChatGPT. Leverage the multi-modal UI of ChatGPT web, mobile and desktop interfaces.
API
Use a simple API (only three endpoints) and embed Mail2Cloud Advanced AI email search in your own applications.
Mail2Cloud Advanced as an MCP installed
in Claude for Desktop
How it Works
Why Mail2Cloud Advanced is so effective
Capture
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Mail2Cloud captures selected emails from one or more accounts
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Emails are placed in your cloud storage (protected from end-user deletion), and converted to PDF
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Email & attachment text content is optimized for vector search
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Redundant content removed
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Metadata extracted
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Image OCR
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Vector entries linked to source emails in cloud storage
Search
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User submits a query (via MCP, GPT or custom client)
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Query is analyzed and converted to an optimized vector search capable of searching large email repositories
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Results with links to original sources are returned to user’s LLM for AI response.