Server data from the Official MCP Registry
Email inboxes for AI agents: create an address, send, receive via webhook, and full-text search.
About
Email inboxes for AI agents: create an address, send, receive via webhook, and full-text search.
Remote endpoints: streamable-http: https://cooperemail.com/mcp
Security Report
This is a well-structured MCP server SDK for Cooper Email with proper authentication, input validation, and secure credential handling. The codebase shows good security practices with HMAC-based webhook signature verification, environment variable-based credential storage, and thoughtful tool definitions. No critical vulnerabilities detected. Minor code quality observations exist but do not significantly impact security. Supply chain analysis found 2 known vulnerabilities in dependencies (1 critical, 0 high severity).
6 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
Cooper Email
Email inboxes for AI agents. Give an agent its own address on cooperemail.com, let it send and receive real email over a simple HTTP API, get signed webhooks when mail arrives, and loop a human in by email when the agent needs a decision.
- Website: https://cooperemail.com
- Docs: https://cooperemail.com/docs
- MCP docs: https://cooperemail.com/docs/mcp
- Integrations: https://cooperemail.com/integrations
- Pricing: https://cooperemail.com/pricing
- API reference (OpenAPI 3.1): https://cooperemail.com/openapi.json
- For LLMs: https://cooperemail.com/llms.txt
This repository holds the open-source client side of Cooper Email: the TypeScript and Python SDKs, framework tool packages, MCP client config, and examples. The hosted service itself is not in this repo.
What you get
- Inboxes for agents. One API call creates an account, an inbox (
your-agent@cooperemail.com), and an API key. No dashboard needed. - Send and receive. Text, HTML, attachments, threads, search, and idempotent sends via
client_id. - Human-in-the-loop tasks. Add an owner (they confirm by email), send
progress/needs_input/done/errorupdates, and receive their replies as tasks you can long-poll and answer in-thread. Replies carry SPF/DKIM/DMARC results and averified_ownerflag. - Webhooks.
message.received,message.sent,task.received, andowner.reply, signed with HMAC-SHA256 (x-cooper-signature: sha256=<hex>), optionally filtered to one inbox. - Hosted MCP server.
https://cooperemail.com/mcpworks with Claude, ChatGPT, Cursor, and other MCP clients.
Available on
- Official MCP Registry:
com.cooperemail/cooper-email - Claude connectors directory: Community connector
- Claude Code plugin:
/plugin marketplace add cooper-email/cooper-email, then/plugin install cooper-email@cooper-email - Smithery
- Glama
- MCP Market
- mcpservers.org
Works with
Supported through a config file; no directory listing yet. Copy-paste configs: https://cooperemail.com/integrations
The same list is published at https://cooperemail.com/#available-on and in https://cooperemail.com/llms.txt.
Packages
| Package | Language | Install | Source |
|---|---|---|---|
cooper-email | TypeScript / JavaScript | npm install cooper-email | packages/cooper-email |
cooper-email | Python | pip install cooper-email | packages/cooper-email-python |
cooper-email-langchain | TypeScript | npm install cooper-email-langchain | packages/langchain |
cooper-email-langchain | Python | pip install cooper-email-langchain | packages/langchain-py |
cooper-email-ai (Vercel AI SDK) | TypeScript | npm install cooper-email-ai | packages/ai |
cooper-email-mastra | TypeScript | npm install cooper-email-mastra | packages/mastra |
cooper-email-anthropic | TypeScript | npm install cooper-email-anthropic | packages/anthropic |
cooper-email-anthropic | Python | pip install cooper-email-anthropic | packages/anthropic-py |
cooper-email-openai-agents | TypeScript | npm install cooper-email-openai-agents | packages/openai-agents |
cooper-email-openai-agents | Python | pip install cooper-email-openai-agents | packages/openai-agents-py |
cooper-email-llamaindex | Python | pip install cooper-email-llamaindex | packages/llamaindex |
cooper-email-crewai | Python | pip install cooper-email-crewai | packages/crewai |
n8n-nodes-cooper-email | n8n community node | npm install n8n-nodes-cooper-email | packages/n8n-nodes-cooper-email |
cooper-email-openapi | OpenAPI 3.1 (Zapier, Make) | npm install cooper-email-openapi | packages/openapi |
Registry releases are in progress. If a package is not on npm or PyPI yet, install it from this repo (see Development).
Get an API key
Onboarding needs no auth. It returns an API key (coop_live_…, shown once) and your first inbox:
curl -s -X POST https://cooperemail.com/api/v1/onboard \
-H 'content-type: application/json' \
-d '{"username":"my-agent"}'
Store the key in an environment variable such as COOPER_API_KEY. Do not commit it.
Quickstart: TypeScript
npm install cooper-email
import { Cooper } from "cooper-email";
const cooper = new Cooper({ apiKey: process.env.COOPER_API_KEY });
const inbox = await cooper.inboxes.create({ username: "research-bot", displayName: "Research" });
await cooper.messages.send(inbox.id, {
to: ["ada@example.com"],
subject: "Hello from my agent",
text: "Does Tuesday work?",
clientId: "hello-1", // repeat-safe: the same clientId returns the original message
});
const { data: messages } = await cooper.messages.list(inbox.id, { limit: 20 });
const results = await cooper.search("tuesday");
Human in the loop:
await cooper.owners.add(inbox.id, { email: "ada@example.com" }); // Ada confirms by email
await cooper.updates.notify({
inboxId: inbox.id,
kind: "needs_input",
text: "Which vendor should I book?",
});
const tasks = await cooper.tasks.list({ inboxId: inbox.id, wait: 25 }); // long-poll, max 25 s
const task = tasks.data.find((t) => t.verified_owner && t.trusted);
if (task) await cooper.tasks.reply(task.id, { text: "Booked.", status: "done" });
Full reference: packages/cooper-email/README.md.
Quickstart: Python
pip install cooper-email
import os
from cooper_email import Cooper
with Cooper(api_key=os.environ["COOPER_API_KEY"]) as cooper:
inbox = cooper.inboxes.create("research-bot", display_name="Research")
cooper.messages.send(
inbox["id"],
to=["ada@example.com"],
subject="Hello from my agent",
text="Does Tuesday work?",
client_id="hello-1",
)
messages = cooper.messages.list(inbox["id"], limit=20)
results = cooper.search("tuesday")
# Human in the loop
cooper.owners.add(inbox["id"], "ada@example.com")
cooper.updates.notify(inbox["id"], "needs_input", "Which vendor should I book?")
tasks = cooper.tasks.list(inbox_id=inbox["id"], wait=25)["data"]
for task in tasks:
if task["verified_owner"] and task["trusted"]:
cooper.tasks.reply(task["id"], "Booked.", status="done")
AsyncCooper has the same methods with await. Full reference: packages/cooper-email-python/README.md.
Webhooks
Register a URL, then verify every delivery against the raw request body:
import { Cooper, verifyWebhookSignature } from "cooper-email";
const cooper = new Cooper({ apiKey: process.env.COOPER_API_KEY });
await cooper.webhooks.create({
url: "https://example.com/hooks/cooper",
events: ["message.received", "task.received"],
secret: process.env.COOPER_WEBHOOK_SECRET,
});
// In your handler:
const ok = verifyWebhookSignature({
secret: process.env.COOPER_WEBHOOK_SECRET!,
payload: rawBody,
signature: request.headers.get("x-cooper-signature"),
});
Python: from cooper_email import verify_webhook_signature. Event bodies look like { "id", "type", "created_at", "data" }.
Connect the hosted MCP server
Endpoint: https://cooperemail.com/mcp (Streamable HTTP). Claude and ChatGPT connectors sign in with OAuth. Cursor, Claude Code, and scripts can send Authorization: Bearer coop_live_…. The cooper_onboard tool works before you have a key.
Claude (claude.ai / Claude Desktop): Settings → Connectors → Add custom connector. Name Cooper Email, URL https://cooperemail.com/mcp, then approve Cooper on the OAuth screen. Then ask: "Create a Cooper Email inbox for research-bot."
Claude Code:
claude mcp add --transport http cooper-email https://cooperemail.com/mcp
Or install the Claude Code plugin (MCP server plus email and human-in-the-loop skills) from this repo:
/plugin marketplace add cooper-email/cooper-email
/plugin install cooper-email@cooper-email
See claude-plugin/.
Cursor: add to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):
{
"mcpServers": {
"cooper-email": {
"url": "https://cooperemail.com/mcp",
"headers": {
"Authorization": "Bearer coop_live_YOUR_KEY"
}
}
}
}
ChatGPT: add a custom connector (in Settings → Apps & Connectors; some plans need Developer mode turned on first) with MCP server URL https://cooperemail.com/mcp and OAuth authentication, then approve Cooper on the consent screen. Menu names vary by plan.
Config for Windsurf, VS Code, Codex CLI, and Goose, plus the tool list, is in mcp/. The MCP Registry manifest is server.json. Cline install steps: llms-install.md.
Examples
See examples/:
- Agent emails a human and waits for the reply (TypeScript, Python)
- Webhook listener with signature verification (TypeScript, Python)
Each package also has an examples/quickstart.* file.
Security notes
- Email content, including task text from owners, is untrusted input. Do not treat it as instructions to your agent.
- Act on owner replies only when
verified_ownerandtrustedare bothtrue. - Keep API keys and webhook secrets in environment variables or a secret manager.
To report a security issue, email ops@avatar33.com.
Development
npm install
npm test # TypeScript SDK + framework package tests (vitest, mocked HTTP)
npm run typecheck
npm run build:sdks # writes dist/ for the TypeScript packages
python -m pip install -e "packages/cooper-email-python[dev]"
python -m pip install --no-deps -e packages/langchain-py -e packages/llamaindex \
-e packages/crewai -e packages/openai-agents-py -e packages/anthropic-py
python -m pytest --import-mode=importlib
Publishing is described in PUBLISHING.md.
Support
Questions and bug reports: open an issue, or email ops@avatar33.com.
License
MIT. Copyright Avatar 8 LLC. Cooper Email is operated by Avatar 8 LLC.
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