agenticmail/agenticmail
by Various
Email, SMS & phone-call infrastructure for AI agents — send and receive real email and text messages, and place agent-driven outbound voice calls, all programmatically
MCP
agenticmail/agenticmail
Added 1 June 2026
Overview
Agenticmail provides programmatic email, SMS, and outbound voice call infrastructure for AI agents. It is a TypeScript library that enables agents to send and receive real email and text messages and place voice calls.
Best for
Best for
Developers building AI agents that need to communicate via email, SMS, or voice calls
Use cases
- Enable an AI agent to send confirmation emails and SMS alerts
- Build an agent that can make outbound phone calls to users
- Receive and process incoming email and text messages programmatically
Notes
Agenticmail provides programmatic email, SMS, and outbound voice call infrastructure for AI agents. It is a TypeScript library that enables agents to send and receive real email and text messages and place voice calls.
135 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Use cases
- Enable an AI agent to send confirmation emails and SMS alerts
- Build an agent that can make outbound phone calls to users
- Receive and process incoming email and text messages programmatically
Pros
- Covers multiple communication channels (email, SMS, voice) in one library
- Written in TypeScript for type safety and modern development
- Open source with 135 GitHub stars, indicating community interest
Cons
- Relatively new project with limited community adoption
- May require additional infrastructure for production-scale use
- Documentation and examples may be sparse
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Covers multiple communication channels (email, SMS, voice) in one library
- Written in TypeScript for type safety and modern development
- Open source with 135 GitHub stars, indicating community interest
Cons
- Relatively new project with limited community adoption
- May require additional infrastructure for production-scale use
- Documentation and examples may be sparse
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