About engagelab-email
engagelab-email is a local stdio MCP server for AI agents that need to send and receive email through EngageLab. Its dedicated mailboxes group messages into threads, providing conversation context for replies, with sandbox mode for testing.
Key features
- 01Send and receive email
- 02Reply within existing threads
- 03List mailboxes and inbound messages
- 04Read message details and attachments
- 05Browse conversation threads
- 06Test flows in sandbox mode
Use cases
- 01Handle customer support email conversations
- 02Manage scheduling and approval messages
- 03Check new inbound mail and reply with context
- 04Test email workflows without contacting real recipients
MCP support
Runs locally as an stdio MCP server and exposes mailbox, message, and thread operations to compatible clients. It requires an EngageLab Secret Key; the project does not provide a hosted MCP endpoint.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y @engagelabemail/mcpENGAGELAB_EMAIL_SECRET_KEYSecretEngageLab Secret Key starting with sk_. The region prefix (sk_sg_ / sk_tr_) determines the API node.ENGAGELAB_EMAIL_BASE_URLOptional API base URL override. Inferred from the Secret Key region prefix when omitted.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEEngageLab Agent Email MCP Server
English | 简体中文
Official EngageLab Email project.
This repository distributes a local stdio MCP server. It does not provide a hosted OAuth or HTTP MCP endpoint; run it locally with the installation command below.
Send, receive, and reply to email from AI agents — through the Model Context Protocol.
Each agent gets its own mailbox: a real address that sends and receives, with conversations grouped into threads so your agent has context. Works with Claude Desktop, Claude Code, Cursor, Cowork, and any MCP-compatible client.
{
"mcpServers": {
"engagelab-email": {
"command": "npx",
"args": ["-y", "@engagelabemail/mcp"],
"env": { "ENGAGELAB_EMAIL_SECRET_KEY": "sk_sg_your_key" }
}
}
}
Why
Most email APIs are send-only. Agents that need to have a conversation over email — support, scheduling, approvals — need an inbox.
- Send & receive — the agent owns a dedicated mailbox, not a bolted-on parse webhook
- Thread-aware — replies group into conversations, so the agent sees full history
- Sandbox mode — test agent flows without emailing real humans
- One env var — no OAuth dance for local use; region inferred from the key
Tools
| Tool | What it does | |
|---|---|---|
| Discover | list_mailboxes | List mailboxes; call this first to get IDs |
| Send | send_email | New email (text/html, cc/bcc, attachments, sandbox) |
reply_email | Reply to a message — recipients & thread inferred | |
| Receive | list_inbound_messages | Inbound mail, filter by mailbox/keyword |
get_message | Full message details by UID | |
check_new_messages | One-shot poll for new mail | |
| Threads | list_threads / get_thread / list_thread_messages | Browse conversations |
Quickstart
Smithery / MCPB
For local stdio distribution, build an MCPB bundle:
npm run build:mcpb
The bundle is generated at dist/engagelab-agent-email.mcpb and can be uploaded through Smithery publishing.
Official MCP Registry
EngageLab Agent Email is also listed in the official MCP Registry. Clients that consume the Registry can find it by the server name io.github.Metaverse-Cloud/engagelab-email; the underlying npm package remains @engagelabemail/mcp.
1. Get a Secret Key. Create an EngageLab account and generate a key from the console (format sk_sg_xxx — the prefix selects the region). Or use the CLI: engagelab-email-cli login creates one via browser.
2. Create a mailbox. In the console, create a mailbox for your agent (shared subdomain is instant; custom domains need DNS verification). Programmatic mailbox creation is on the roadmap — see Troubleshooting if list_mailboxes returns empty.
3. Register the server.
Claude Desktop — add the JSON block above to claude_desktop_config.json.
Claude Code:
claude mcp add engagelab-email \
-e ENGAGELAB_EMAIL_SECRET_KEY=sk_sg_your_key \
-- npx -y @engagelabemail/mcp
Then ask your agent:
List my mailboxes, then send an email from the first one to [email protected] saying the invoice is approved.
A typical agent loop for a support bot:
check_new_messages() → [messageUids]
get_message(uid) → body, attachments
list_thread_messages(threadId) → full conversation context
reply_email(uid, { text: ... }) → response lands in the same thread
Configuration
| Environment variable | Required | Description |
|---|---|---|
ENGAGELAB_EMAIL_SECRET_KEY | Yes | Secret Key starting with sk_ |
ENGAGELAB_EMAIL_BASE_URL | No | Override the API base URL. Inferred from the key region: sg → Singapore, tr → Türkiye |
Limits: up to 10 attachments / 10MB total per message (base64-encoded in the tool schema).
Troubleshooting
list_mailboxesreturns an empty list — your account has no mailbox yet. Create one in the EngageLab console (see Quickstart step 2). Agents cannot self-provision mailboxes yet.- 401 /
code 100101— the Secret Key is wrong or revoked. CheckENGAGELAB_EMAIL_SECRET_KEYand that the key's region prefix (sk_sg_/sk_tr_) matches the endpoint you use. - Could not determine API base URL — the key's region prefix isn't recognized. Set
ENGAGELAB_EMAIL_BASE_URLexplicitly. - Reply shows up as a new conversation — use
reply_email(notsend_email) so In-Reply-To headers and threading stay intact.
Roadmap
- Hosted MCP (OAuth) for zero-config remote use
- Programmatic mailbox creation via Secret Key
- Webhook push (no polling) for
check_new_messages - URL-based attachment references (no base64 in context)
Run from source
git clone https://github.com/Metaverse-Cloud/engagelab-email-mcp
cd engagelab-email-mcp
npm install && npm run build
ENGAGELAB_EMAIL_SECRET_KEY=sk_sg_xxx node dist/index.cjs
Related
- EngageLab Agent Email CLI — same mailboxes from the terminal,
--jsonoutput for agents - EngageLab Node SDK / Python SDK — send email from code
License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.