API-first email platform giving AI agents dedicated inboxes with send, receive, and management capabilities.
Works with
Supports inbox creation with auto-generated or custom email addresses, message sending/receiving, threaded conversations, and label-based organization
Includes attachment handling via Base64 encoding, draft creation for human approval workflows, and message reply functionality
Offers multi-tenant isolation through pods for SaaS platforms, with idempotent operations using clien
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionagentmailExecute the skills CLI command in your project's root directory to begin installation:
Fetches agentmail from agentmail-to/agentmail-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate agentmail. Access via /agentmail in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
3
total installs
3
this week
7
GitHub stars
0
upvotes
Run in your terminal
3
installs
3
this week
7
stars
AgentMail is an API-first email platform for AI agents. Install the SDK and initialize the client.
# TypeScript/Node
npm install agentmail
# Python
pip install agentmail
import { AgentMailClient } from "agentmail";
const client = new AgentMailClient({ apiKey: "YOUR_API_KEY" });
from agentmail import AgentMail
client = AgentMail(api_key="YOUR_API_KEY")
Create scalable inboxes on-demand. Each inbox has a unique email address.
// Create inbox (auto-generated address)
const autoInbox = await client.inboxes.create();
// Create with custom username and domain
const customInbox = await client.inboxes.create({
username: "support",
domain: "yourdomain.com",
});
// List, get, delete
const inboxes = await client.inboxes.list();
const fetchedInbox = await client.inboxes.get({
inboxId: "[email protected]",
});
await client.inboxes.delete({ inboxId: "[email protected]" });
# Create inbox (auto-generated address)
inbox = client.inboxes.create()
# Create with custom username and domain
inbox = client.inboxes.create(username="support", domain="yourdomain.com")
# List, get, delete
inboxes = client.inboxes.list()
inbox = client.inboxes.get(inbox_id="[email protected]")
client.inboxes.delete(inbox_id="[email protected]")
Always send both text and html for best deliverability.
// Send message
await client.inboxes.messages.send({
inboxId: "[email protected]",
to: "[email protected]",
subject: "Hello",
text: "Plain text version",
html: "<p>HTML version</p>",
labels: ["outreach"],
});
// Reply to message
await client.inboxes.messages.reply({
inboxId: "[email protected]",
messageId: "msg_123",
text: "Thanks for your email!",
});
// List and get messages
const messages = await client.inboxes.messages.list({
inboxId: "[email protected]",
});
const message = await client.inboxes.messages.get({
inboxId: "[email protected]",
messageId: "msg_123",
});
// Update labels
await client.inboxes.messages.update({
inboxId: "[email protected]",
messageId: "msg_123",
addLabels: ["replied"],
removeLabels: ["unreplied"],
});
# Send message
client.inboxes.messages.send(
inbox_id="[email protected]",
to="[email protected]",
subject="Hello",
text="Plain text version",
html="<p>HTML version</p>",
labels=["outreach"]
)
# Reply to message
client.inboxes.messages.reply(
inbox_id="[email protected]",
message_id="msg_123",
text="Thanks for your email!"
)
# List and get messages
messages = client.inboxes.messages.list(inbox_id="[email protected]")
message = client.inboxes.messages.get(inbox_id="[email protected]", message_id="msg_123")
# Update labels
client.inboxes.messages.update(
inbox_id="[email protected]",
message_id="msg_123",
add_labels=["replied"],
remove_labels=["unreplied"]
)
Threads group related messages in a conversation.
// List threads (with optional label filter)
const threads = await client.inboxes.threads.list({
inboxId: "[email protected]",
labels: ["unreplied"],
});
// Get thread details
const thread = await client.inboxes.threads.get({
inboxId: "[email protected]",
threadId: "thd_123",
});
// Org-wide thread listing
const allThreads = await client.threads.list();
# List threads (with optional label filter)
threads = client.inboxes.threads.list(inbox_id="[email protected]", labels=["unreplied"])
# Get thread details
thread = client.inboxes.threads.get(inbox_id="[email protected]", thread_id="thd_123")
# Org-wide thread listing
all_threads = client.threads.list()
Send attachments with Base64 encoding. Retrieve from messages or threads.
// Send with attachment
const content = Buffer.from(fileBytes).toString("base64"Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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agentmail has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: agentmail is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend agentmail for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
agentmail is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: agentmail is the kind of skill you can hand to a new teammate without a long onboarding doc.
agentmail has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in agentmail — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
agentmail fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for agentmail matched our evaluation — installs cleanly and behaves as described in the markdown.
We added agentmail from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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