agentmail-toolkit

agentmail-to/agentmail-skills · updated Apr 8, 2026

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$npx skills add https://github.com/agentmail-to/agentmail-skills --skill agentmail-toolkit
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summary

Pre-built email tools for popular agent frameworks. Instantly add inbox management, sending, receiving, and email automation to your agents.

skill.md

AgentMail Toolkit

Pre-built email tools for popular agent frameworks. Instantly add inbox management, sending, receiving, and email automation to your agents.

Installation

# TypeScript/Node
npm install agentmail-toolkit

# Python
pip install agentmail-toolkit

Configuration

Set your API key as an environment variable:

export AGENTMAIL_API_KEY=your-api-key

Get your API key from console.agentmail.to.


TypeScript Frameworks

Vercel AI SDK

import { AgentMailToolkit } from "agentmail-toolkit/ai-sdk";
import { streamText } from "ai";
import { openai } from "@ai-sdk/openai";

const toolkit = new AgentMailToolkit();

const result = await streamText({
  model: openai("gpt-4o"),
  messages,
  system: "You are an email agent that can send and receive emails.",
  tools: toolkit.getTools(),
});

LangChain

import { createAgent, HumanMessage, AIMessage } from "langchain";
import { AgentMailToolkit } from "agentmail-toolkit/langchain";

const agent = createAgent({
  model: "openai:gpt-4o",
  tools: new AgentMailToolkit().getTools(),
  systemPrompt: "You are an email agent that can send and receive emails.",
});

const result = await agent.stream({ messages }, { streamMode: "messages" });

Clawdbot (Pi Agent)

For Clawdbot/Pi Agent integration.

import { AgentMailToolkit } from "agentmail-toolkit/clawdbot";

const toolkit = new AgentMailToolkit();
const tools = toolkit.getTools();

// Each tool has: name, label, description, parameters, execute
for (const tool of tools) {
  agent.registerTool(tool);
}

Python Frameworks

OpenAI Agents SDK

from agentmail_toolkit.openai import AgentMailToolkit
from agents import Agent

agent = Agent(
    name="Email Agent",
    instructions="You can send, receive, and manage emails.",
    tools=AgentMailToolkit().get_tools(),
)

LangChain

from langchain.agents import create_agent
from agentmail_toolkit.langchain import AgentMailToolkit

agent = create_agent(
    model="gpt-4o",
    system_prompt="You are an email agent that can send and receive emails.",
    tools=AgentMailToolkit().get_tools(),
)

result = agent.stream({"messages": messages}, stream_mode="messages")

LiveKit Agents

For voice AI agents with email capabilities.

from livekit.agents import Agent
from agentmail_toolkit.livekit import AgentMailToolkit

agent = Agent(
    name="Voice Email Agent",
    tools=AgentMailToolkit().get_tools(),
)

Available Tools

All frameworks get access to these tools:

Tool Description
create_inbox Create a new email inbox
list_inboxes List all inboxes
get_inbox Get inbox details
delete_inbox Delete an inbox
send_message Send an email
reply_to_message Reply to an email
list_threads List email threads
get_thread Get thread details
get_attachment Download an attachment
update_message Update message labels

Custom Configuration

Custom API Key

// TypeScript
const toolkit = new AgentMailToolkit({ apiKey: "your-api-key" });
# Python
toolkit = AgentMailToolkit(api_key="your-api-key")

Custom Client

# Python - use existing AgentMail client
from agentmail import AgentMail
from agentmail_toolkit.openai import AgentMailToolkit

client = AgentMail(api_key="your-api-key")
toolkit = AgentMailToolkit(client=client)

Framework Summary

Framework TypeScript Import Python Import
Vercel AI SDK from 'agentmail-toolkit/ai-sdk' -
LangChain from 'agentmail-toolkit/langchain' from agentmail_toolkit.langchain import AgentMailToolkit
Clawdbot from 'agentmail-toolkit/clawdbot' -
OpenAI Agents SDK - from agentmail_toolkit.openai import AgentMailToolkit
LiveKit Agents - from agentmail_toolkit.livekit import AgentMailToolkit
how to use agentmail-toolkit

How to use agentmail-toolkit on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add agentmail-toolkit
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/agentmail-to/agentmail-skills --skill agentmail-toolkit

The skills CLI fetches agentmail-toolkit from GitHub repository agentmail-to/agentmail-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/agentmail-toolkit

Reload or restart Cursor to activate agentmail-toolkit. Access the skill through slash commands (e.g., /agentmail-toolkit) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ 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.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.834 reviews
  • Isabella Thompson· Dec 16, 2024

    Solid pick for teams standardizing on skills: agentmail-toolkit is focused, and the summary matches what you get after install.

  • Michael Sharma· Dec 12, 2024

    agentmail-toolkit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yash Thakker· Nov 19, 2024

    Useful defaults in agentmail-toolkit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kaira Singh· Nov 7, 2024

    I recommend agentmail-toolkit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Benjamin Martinez· Nov 3, 2024

    We added agentmail-toolkit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kiara Zhang· Oct 26, 2024

    Keeps context tight: agentmail-toolkit is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Dhruvi Jain· Oct 10, 2024

    Registry listing for agentmail-toolkit matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Oshnikdeep· Sep 13, 2024

    Keeps context tight: agentmail-toolkit is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Benjamin Li· Sep 5, 2024

    We added agentmail-toolkit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Anaya Sanchez· Sep 1, 2024

    Solid pick for teams standardizing on skills: agentmail-toolkit is focused, and the summary matches what you get after install.

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