Mails

Mails

Mails.ai provides email infrastructure for AI agents: inbound emails are scanned for prompt-injection, scored for sender reputation, optionally classified into intent/entities, and delivered as structured events to agent code via SDKs and MCP.

Mails is ai agents software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 80/100
#449 in AI Agents (449 tools)
Added 5 months ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Freemium from $0

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Mails

Mails.ai is an email infrastructure product built specifically to route inbound email through AI agents. Every inbound message is scanned for prompt-injection, scored for sender reputation, and emitted as a structured event that can include opt-in classification (intent and entities). The product is designed for developer integration via SDKs (TypeScript, Python, MCP) and aims to make email an actionable event stream for agent code.

The site presents a live demo/walkthrough of an inbound message flowing through an injection scan, structured event creation, and then into user code. The product is currently in closed beta (cohort 1) with cohort openings planned for Q3 2026, and offers both monthly tiers and per-event metered pricing.

Mails.ai provides email infrastructure for AI agents: inbound emails are scanned for prompt-injection, scored for sender reputation, optionally classified into intent/entities, and delivered as structured events to agent code via SDKs and MCP.

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Key Features

Prompt-injection scanning

A six-category prompt-injection scanner runs on every inbound; events include an injection_score and messages above thresholds can be quarantined.

Sender reputation & suppression

Every sender is scored with sender_reputation; the platform supports automatic pausing/throttling of bad actors and 'autoreputation-based throttle' with complaint auto-pause behavior described (0.3%).

Opt-in classification (intent & entities)

When enabled, inbound events include parsed intent and extracted entities (e.g., date, time, email) to produce structured reply events for agents.

Structured reply events

Inbound emails are emitted as structured JSON events including fields like id, agent, from, subject, body, injection_score, sender_reputation, and opt-in intent/entities.

SDKs & MCP support

Client libraries and examples are provided in TypeScript, Python, and MCP for integrating agent logic with the Mails.ai event stream.

Metered per-event billing

Pricing is presented per event (send, inbound scan, optional classification) rather than per mailbox, allowing quiet months to cost little or nothing.

Dedicated IP & architecture

The site lists architecture-related features such as Dedicated IP and MCP server for developer deployment and routing.

Integrations & runtimes

Works with various runtimes via MCP and lists compatibility with runtimes and tooling (examples shown on the site).

Pricing

Free Tier Available

Free plan available ($0 monthly).

Free

$0
  • Entry-level access (monthly tier listed on site)

Pro

$20 per month
  • Pro monthly tier (details on site)

Scale

$99 per month
  • Scale monthly tier (details on site)

Use Cases

Agent-driven email handling

Route inbound email into AI agents that parse intent/entities and respond or take actions automatically (e.g., schedule demos, send invites).

Security & prompt-injection mitigation

Protect agent workflows from malicious prompt-injection by scanning every inbound and quarantining high-risk messages before agent execution.

Reputation-based suppression

Automatically throttle or pause senders with low reputation to reduce spam, abuse, and noisy inputs into agent pipelines.

Pay-per-event usage for variable workloads

Support sporadic or seasonal workloads with per-event metering so quiet periods incur minimal cost.

Integrations

MCP

Platform messaging runtime — Mails.ai works with your runtime via MCP.

Claude

Listed as a compatible runtime/integration on the site.

CodeCursor

Listed as a compatible runtime/integration on the site.

Cline

Listed as a compatible runtime/integration on the site.

Windsurf

Listed as a compatible runtime/integration on the site.

OpenAI Agents

Listed as a compatible runtime/integration on the site.

LangGraph

Listed as a compatible runtime/integration on the site.

Benefits

Automatic injection scanning reduces risk of prompt-injection attacks before agent execution.
Structured events with optional intent and entity extraction speed up agent decision-making and reduce parsing work.
Sender reputation scoring and auto-pause/throttle reduce the impact of bad actors on the network.
Metered pricing aligns cost with actual usage — quiet months cost very little.
Developer-friendly SDKs and MCP support let teams integrate quickly (npm package and examples provided).

Limitations

Currently in closed beta (Cohort 1); broader availability is planned (cohort 1 opens Q3 2026).
Intent and entity classification is opt-in per agent (classification only present when enabled).
Metered usage features and some simulated pricing/metering are noted as 'coming soon' on the site.

Frequently Asked Questions

Claim this listing to publish FAQs.

Getting Started

  1. 1 Sign up or reserve a seat for cohort 1 (closed beta) and get your API key.
  2. 2 Install the SDK: npm install @mailsai/sdk.
  3. 3 Configure an agent (example: mails.agent('sarah', { domain: 'yourcompany.com' })).
  4. 4 Wire up an onReply handler to receive structured events (intent, entities, injection_score, sender_reputation) and implement your agent logic.
  5. 5 Read the docs and API reference on the site for detailed integration and configuration.

Support

email

Support and contact via [email protected] (listed on the site).

docs

Documentation and API reference available on the site (Docs, API reference, Read the docs).

blog

Blog and changelog listed under Resources on the site.

API

Available: Yes
Documentation:

Docs and API reference available on the site: https://mails.ai/?via=toolpilotai34

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