Pre-built email tools for popular agent frameworks. Instantly add inbox management, sending, receiving, and email automation to your agents.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionagentmail-toolkitExecute the skills CLI command in your project's root directory to begin installation:
Fetches agentmail-toolkit 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-toolkit. Access via /agentmail-toolkit 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.
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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
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Pre-built email tools for popular agent frameworks. Instantly add inbox management, sending, receiving, and email automation to your agents.
# TypeScript/Node
npm install agentmail-toolkit
# Python
pip install agentmail-toolkit
Set your API key as an environment variable:
export AGENTMAIL_API_KEY=your-api-key
Get your API key from console.agentmail.to.
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(),
});
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" });
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);
}
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(),
)
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")
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(),
)
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 |
// TypeScript
const toolkit = new AgentMailToolkit({ apiKey: "your-api-key" });
# Python
toolkit = AgentMailToolkit(api_key="your-api-key")
# 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 | 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 |
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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Solid pick for teams standardizing on skills: agentmail-toolkit is focused, and the summary matches what you get after install.
agentmail-toolkit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in agentmail-toolkit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend agentmail-toolkit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added agentmail-toolkit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: agentmail-toolkit is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for agentmail-toolkit matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: agentmail-toolkit is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added agentmail-toolkit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: agentmail-toolkit is focused, and the summary matches what you get after install.
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