AgenticMail MCP server

The MCP (Model Context Protocol) server for AgenticMail — gives any MCP-compatible AI client full email and SMS capabilities.

When connected, your AI agent can send emails and texts, check inboxes, reply to messages, receive verification codes, manage contacts, schedule emails, assign tasks to other agents, and more — all through natural language. The server provides 100 tools that cover every email, SMS, and agent management operation.

✨ Security — 0.9.27

Fixes GHSA-63gr-g7jc-v8rg — missing authentication on the optional Streamable HTTP transport (--http / MCP_HTTP=1).

• --http mode now binds to 127.0.0.1 by default and requires Authorization: Bearer <token> on every /mcp request.
• The bearer token is auto-minted on first start and persisted to ~/.agenticmail/mcp-http-token (chmod 600). Override with MCP_HTTP_TOKEN env or --token=<value>.
• Bind to other interfaces with --host=0.0.0.0 or MCP_HTTP_HOST=... — startup logs an explicit warning when the endpoint is reachable from the network.
• --insecure brings back the old no-auth behavior for sandboxed test environments only. Startup prints a loud warning.
• Stdio mode (the default) was never affected.

If you weren't using --http / MCP_HTTP=1, no action is needed.

✨ What's new in 0.9.0

• 🧠 get_thread_id + save_thread_memory — two new tools in the multi_agent_extras tier. Workers call get_thread_id({uid}) once after reading a new message, then save_thread_memory({threadId, summary, commitments?, openQuestions?, lastAction?, lastUid?}) at end-of-wake. The dispatcher reads the memory back into the next wake's prompt automatically. Pairs with the dispatcher-side ThreadCache to flatten wake cost — agents no longer have to re-read 10 prior messages every time.
• 🎯 send_email / reply_email / forward_email / template_send docs updated for the new wake defaults. CC'd local agents no longer wake by default; wake: 'all' opts back into the pre-0.9.0 behaviour.

✨ Earlier — 0.7.9

• 📐 call_agent accepts outputSchema — pass a JSON Schema (draft-7 subset) describing the deliverable shape and the API validates submit_result against it; mismatches come back as validator errors so the worker can retry with a correct shape instead of returning free-form prose. The schema is rendered into the worker's wake prompt up-front. Example:

  await call_agent({
    target: 'vesper',
    task: 'Audit row 34 of the YAML patch.',
    outputSchema: {
      type: 'object',
      required: ['summary', 'findings', 'recommendation'],
      properties: {
        summary:        { type: 'string' },
        findings:       { type: 'array', items: { type: 'string' } },
        recommendation: { type: 'string', enum: ['proceed', 'block'] },
      },
    },
  });
  

• 📥 tail_worker(workerId, lines?) — paired with check_activity. When a worker shows up as long-running or stale, tail_worker returns the trailing N lines of its log (every tool call, result, and assistant chunk as a one-liner). Master-key only. Lives in the multi_agent_extras tier so it ships in the default toolbelt for hosts that delegate work.
• 📊 check_activity shows live progress — output now includes last tool used, tool-call count, duration in Xh Ym Zs, and a stale flag derived from heartbeat age. Workers are no longer auto-evicted from the registry; staleness is diagnostic.

✨ Earlier — 0.7.7

• wake parameter on every send tool — send_email, reply_email, forward_email, template_send, manage_drafts(send) all accept wake: ["alice", "bob"] (or comma-separated string). The dispatcher gives a Claude turn only to listed agents; the rest still receive the mail but stay asleep. Single biggest token saver on multi-agent threads.
• check_activity tool (in the essential set) — see which agents the dispatcher has woken right now, what they're working on, how long they've been running, plus a preview of recently-finished work. Answers "did the agent I just emailed actually start working?" without waiting for a reply.
• Thread-close markers — put [FINAL], [DONE], [CLOSED], or [WRAP] in a subject to tell the dispatcher this thread is sealed; no more wakes on any reply to it. The wake prompt teaches agents to add these markers when they sign off the work.
• LLM-tolerant input coercion — batch_mark_read({ uids: "[1,2,3,4]" }), wait_for_email({ timeout: "120" }), manage_drafts({ where: '{"id":"abc"}' }), manage_pending({ allowSensitive: "true" }) all now just work. Strings get parsed before zod validates. No more "expected array, received string" retries.
• Server instructions field sent on initialize — every connecting MCP client (Claude Code, ChatGPT, Cursor, Grok…) gets the coordination protocol in context before they touch any tool. Provider-agnostic.
• wait_for_email filters — block on a specific reply, not just "any new event". Supports from, subject, inReplyTo, participants, includeTasks.

Install

npm install -g @agenticmail/mcp

Requirements: Node.js 22+, AgenticMail API server running

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What This Package Does

This is the bridge between your AI client and the AgenticMail system. It runs as a subprocess that the AI communicates with through standard input/output (no network ports opened). Every tool call gets translated into an API request to the AgenticMail server, and the response comes back as formatted text the AI can understand.

Think of it this way: your AI agent doesn't know how to send email natively. This MCP server teaches it how by giving it a set of tools — "send_email", "list_inbox", "reply_email", and so on — that the AI can call when you ask it to do email-related tasks.

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Setup

MCP Client Setup (CLI-Based)

Add to your MCP client configuration (e.g., .mcp.json or project settings):

{
  "mcpServers": {
    "agenticmail": {
      "command": "npx",
      "args": ["agenticmail-mcp"],
      "env": {
        "AGENTICMAIL_API_URL": "http://127.0.0.1:3829",
        "AGENTICMAIL_API_KEY": "ak_your_agent_key"
      }
    }
  }
}

Desktop Clients

For desktop AI applications, add to your MCP configuration file. Example paths:

• macOS: ~/Library/Application Support/<app>/config.json
• Windows: %APPDATA%\<app>\config.json

{
  "mcpServers": {
    "agenticmail": {
      "command": "npx",
      "args": ["agenticmail-mcp"],
      "env": {
        "AGENTICMAIL_API_URL": "http://127.0.0.1:3829",
        "AGENTICMAIL_API_KEY": "ak_your_agent_key"
      }
    }
  }
}

Environment Variables

Variable	Required	Description
AGENTICMAIL_API_URL	Yes	AgenticMail API server URL. Default port is 3829 (changed from 3100 in @agenticmail/mcp@0.7.x to avoid common dev-tool conflicts). Example: http://127.0.0.1:3829.
AGENTICMAIL_API_KEY	Yes¹	Agent API key (ak_...). Determines the default identity this MCP server acts as when a tool call doesn't pass _account.
AGENTICMAIL_MASTER_KEY	No	Master key (mk_...). Required for admin operations (create/delete agents, approve emails, gateway config). Also enables on-demand _account resolution — any tool call passing _account: "<name>" will lazily fetch that agent's API key via the master key the first time it sees the name, so freshly-create_account'd agents become addressable without restarting the MCP server.
AGENTICMAIL_ACCOUNT_KEYS_JSON	No	JSON map of {"<agentName>": "<apiKey>"} for per-call identity switching. When the caller passes _account: "Fola" (etc.), the server authenticates AS that agent for the duration of the call. Populated automatically by agenticmail claudecode install for the Claude Code integration.

¹ Either AGENTICMAIL_API_KEY OR AGENTICMAIL_MASTER_KEY (or AGENTICMAIL_ACCOUNT_KEYS_JSON) must be set, but you don't strictly need all three.

Optional Streamable HTTP transport (--http)

Most users should stick with the default stdio transport — that's what every MCP client config above uses. For environments that need a long-lived HTTP endpoint (browser-based clients, remote-development tunnels, multi-host setups), pass --http:

agenticmail-mcp --http                       # 127.0.0.1:8014, auth required
agenticmail-mcp --http --port=9001
agenticmail-mcp --http --host=0.0.0.0        # expose on network (token still required)
agenticmail-mcp --http --token=mcphttp_xxx   # use a known token instead of the minted one
agenticmail-mcp --http --insecure            # sandbox/test only — disables auth

The token is read from (in order): --token=... flag, MCP_HTTP_TOKEN env, ~/.agenticmail/mcp-http-token (auto-minted on first run). Clients must send Authorization: Bearer <token> on every request to /mcp. GET /health stays open and returns only the session count.

Per-call identity switching (_account)

Every tool's input schema accepts an optional _account: "<name>" parameter. When passed, the server resolves that name to an apiKey (from AGENTICMAIL_ACCOUNT_KEYS_JSON, then falling back to a live master-keyed lookup of /accounts) and runs the call as that agent. Without _account, the call uses AGENTICMAIL_API_KEY as the default identity.

This is what powers the @agenticmail/claudecode integration: one MCP server process, many AgenticMail identities. A Claude Code subagent that "is" Fola passes _account: "Fola" on every call and ends up reading Fola's real inbox, sending mail from fola@localhost, and so on.

Meta-tools for cheap discovery (request_tools + invoke)

To keep host context windows small, only ~10 of the 100 tools are pre-declared in a typical subagent's tools: whitelist. The other ~50 stay reachable through two always-on meta-tools:

• request_tools({ query?, sets? }) — Returns a text catalogue of the unloaded tools, grouped by set (mail_extras, mail_compose, sms, account_admin, …). Optional substring filter or set-name filter.
• invoke({ tool, args, _account? }) — Dispatches to any of the 100 tools by name. The agent uses request_tools to discover, invoke to call.

Token impact: a typical subagent spawn loads ~3K tokens of tool schemas instead of ~15K. The cost is one extra round trip for uncommon operations (discover → invoke), which is almost always a worthwhile trade.

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How It Works

The MCP server sits between your AI and the AgenticMail API:

AI Client → MCP tool call → agenticmail-mcp → HTTP request → AgenticMail API → Stalwart Mail Server

Each tool call:

1. Receives structured arguments from the AI
2. Validates the input (UIDs must be positive integers, arrays must be non-empty, etc.)
3. Makes an HTTP request to the AgenticMail API with a 30-second timeout
4. Returns formatted text results back to the AI

The server runs with stdio transport — the AI client sends JSON-RPC messages via stdin, and the server responds via stdout. No network ports are opened by the MCP server itself. It shuts down gracefully on SIGTERM or SIGINT.

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Tools

Email — Core Operations (13 tools)

Tool	Description	Example Prompt
send_email	Send email with to, subject, text/html, attachments, CC	"Send an email to john@example.com about the meeting"
list_inbox	List recent inbox messages (paginated, up to 100)	"Check my inbox"
read_email	Read full email content with security analysis	"Read email #42"
reply_email	Reply (or reply-all) preserving threading	"Reply to that email saying I'll attend"
forward_email	Forward an email with original attachments	"Forward that to sarah@example.com"
search_emails	Search by from, subject, body, date range, relay	"Find emails from John about the budget"
delete_email	Delete a specific email by UID	"Delete that spam email"
move_email	Move email to a folder	"Move this to Archive"
mark_read	Mark email as read	"Mark email #15 as read"
mark_unread	Mark email as unread	"Mark that as unread"
inbox_digest	Get inbox summary with body previews	"Give me a digest of my inbox"
wait_for_email	Wait for new email in real time (up to 5 minutes)	"Wait for a reply from john@example.com"
import_relay_email	Import email from connected Gmail/Outlook	"Import email UID 500 from Gmail"

Email — Batch Operations (5 tools)

Tool	Description
batch_delete	Delete multiple emails by UID list
batch_mark_read	Mark multiple emails as read
batch_mark_unread	Mark multiple emails as unread
batch_move	Move multiple emails to a folder
batch_read	Read multiple full emails at once

Email — Organization (14 tools)

Tool	Description
manage_contacts	Add, remove, and list contacts in address book
manage_drafts	Create, list, edit, delete, and send drafts
manage_tags	Create tags, assign to messages, remove, list
manage_rules	Create email filtering rules (auto-move, auto-delete, mark read)
manage_signatures	Create, list, and delete email signatures
manage_templates	Create, list, and delete email templates
manage_scheduled	Schedule emails for future delivery, list, cancel
manage_spam	List spam folder, report spam, mark as not-spam, get spam score
manage_pending_emails	View blocked outbound emails awaiting approval
template_send	Send email using a saved template with variable substitution
create_folder	Create a new IMAP folder
list_folder	List messages in a specific folder
list_folders	List all available folders
check_health	Check AgenticMail server and Stalwart health

Multi-Agent Communication (8 tools)

Tool	Description	Example Prompt
list_agents	List all agents with name, email, role	"Show me all agents"
message_agent	Send email to another agent (with priority levels)	"Tell the researcher to look up pricing data"
check_messages	Check for new messages from agents and externals	"Any new messages?"
call_agent	Call another agent with a task (sync or async)	"Call the analyst to research this topic"
claim_task	Claim a pending task assigned to you	"Claim that task"
submit_result	Submit result for a claimed task	"Submit the research findings"
check_tasks	Check incoming or outgoing tasks	"Do I have any pending tasks?"
call_agent	Synchronous RPC — waits for result (up to 5 min)	"Ask the researcher to find pricing and wait"

Administration (7 tools)

These tools require the master key (AGENTICMAIL_MASTER_KEY):

Tool	Description
create_account	Create a new agent with name and role
delete_agent	Delete an agent (archives emails, records report)
stop_agent	Soft-stop an agent mid-task — dispatcher refuses to wake it, mail still lands in the inbox (audit trail preserved)
resume_agent	Reverse stop_agent — dispatcher resumes waking the agent; mail received while stopped is in the inbox and picked up on next wake
cleanup_agents	List inactive agents, clean up, set persistent
deletion_reports	View past agent deletion reports
update_metadata	Update agent metadata (display name, owner, etc.)
whoami	Get current agent info (name, email, role, ID)
setup_payment	Get Cloudflare payment setup instructions

Gateway Configuration (6 tools)

These tools require the master key:

Tool	Description
check_gateway_status	Check current email gateway mode and health
setup_email_relay	Configure Gmail/Outlook relay mode
setup_email_domain	Configure custom domain with Cloudflare
setup_gmail_alias	Get Gmail "Send mail as" alias instructions
setup_guide	Show relay vs domain comparison guide
send_test_email	Send a test email to verify gateway
purchase_domain	Search for and purchase a domain

SMS / Phone Number (8 tools)

Tool	Description
sms_setup	Configure Google Voice or 46elks phone number access
sms_send	Send SMS through 46elks API or return Google Voice send instructions
sms_messages	List inbound/outbound SMS messages
sms_check_code	Extract verification/OTP codes from recent SMS
sms_read_voice	Read SMS directly from Google Voice web (fastest method)
sms_record	Record an SMS read from Google Voice web or any source
sms_parse_email	Parse SMS from forwarded Google Voice email (fallback)
sms_config	Get current SMS configuration

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Outbound Security Scanning

Every email sent through send_email, reply_email, or forward_email is scanned before going out. The scanner checks for:

What Gets Detected

Personal Information (PII) — Social Security numbers, credit card numbers, phone numbers, bank routing numbers, driver's license numbers, passport numbers, tax IDs, Medicare/Medicaid IDs, immigration numbers, PINs, security question answers, IBAN/SWIFT codes, cryptocurrency wallet addresses, wire transfer instructions

Credentials — API keys, AWS keys, passwords, private keys (PEM format), bearer tokens, database connection strings, GitHub tokens, Stripe keys, JWTs, webhook URLs, environment variable blocks, crypto seed phrases, 2FA backup codes, username/password pairs, OAuth tokens, VPN credentials

System Internals — Private IP addresses, file paths from common system directories, environment variable assignments

Owner Privacy — Mentions of the owner's personal information, revelations about who created or operates the agent

Risky Attachments — Private key files (.pem, .key, .p12, .pfx), environment files (.env, .credentials), database files (.db, .sqlite), executables (.exe, .bat, .sh, .ps1), and more

What Happens When Something Is Found

• Medium severity — the email is sent, but the AI receives a warning in the response
• High severity — the email is blocked and stored for human review

When an email is blocked, the AI is told the pending ID and instructed to let the user know. The user (owner) receives a notification email with the full blocked content and instructions.

Human-Only Approval

The AI cannot approve or reject its own blocked emails. The manage_pending_emails tool only allows listing and viewing — approve/reject actions are explicitly rejected with a clear error message. Only the human owner can approve (via the API, the interactive shell, or by replying "approve" or "yes" to the notification email).

Automatic Follow-Up Reminders

When an email is blocked, the MCP server automatically schedules escalating follow-up reminders for the AI:

1. 12 hours — first reminder
2. 6 hours — second reminder
3. 3 hours — third reminder
4. 1 hour — final reminder before cooldown
5. 3-day cooldown — then the cycle restarts

These reminders are injected into tool responses, prompting the AI to ask the user about the pending approval. A background heartbeat checks every 5 minutes to detect if the owner has already approved or rejected the email, and cancels the reminders if so.

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Inbound Security

When the AI reads an email with read_email, the response includes a security analysis:

• Spam score — how likely the email is to be spam or malicious (0-100)
• Category — what type of threat was detected (phishing, social engineering, prompt injection, etc.)
• Sanitization — whether invisible Unicode characters or hidden HTML were found and cleaned
• Attachment warnings — flags for executables, archives, HTML files, and disguised file extensions (like report.pdf.exe)

Internal emails (between agents on the same system) are trusted and skip spam scoring.

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Waiting for Email in Real Time

The wait_for_email tool opens a Server-Sent Events (SSE) connection to the API and listens for new emails or task notifications. If SSE is unavailable, it falls back to polling the inbox. This is useful for workflows where the AI needs to wait for a reply before continuing.

The wait has a configurable timeout (default 2 minutes, maximum 5 minutes). When an email arrives, the tool returns details about the message. If a task notification arrives instead, it returns the task information.

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Relay Email Integration

When the owner has connected a Gmail or Outlook account as a relay, the AI can:

• Search the relay — search_emails with searchRelay: true searches both the local inbox and the connected Gmail/Outlook account. Relay results come back with a separate set of UIDs tagged by account.
• Import from relay — import_relay_email pulls a specific email from the relay account into the local inbox, preserving all headers for proper threading.

This means the AI can find and import emails from the owner's real Gmail/Outlook inbox, then reply to them normally through the AgenticMail system.

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Scheduled Emails

The manage_scheduled tool accepts flexible time formats:

• ISO 8601: 2026-02-14T10:00:00Z
• Relative: in 30 minutes, in 2 hours
• Named: tomorrow 8am, tomorrow 2pm
• Day of week: next monday 9am, next friday 2pm
• Human format: 02-14-2026 3:30 PM EST
• Casual: tonight, this evening

The API server checks every 30 seconds for scheduled emails whose send time has arrived and sends them automatically.

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Inter-Agent Communication

Message Priority

When using message_agent, the AI can set a priority level:

• Normal — no prefix
• High — subject prefixed with [HIGH]
• Urgent — subject prefixed with [URGENT]

Synchronous RPC

The call_agent tool is unique — it assigns a task to another agent and then holds the connection open until that agent responds (up to 5 minutes). This is useful when the AI needs an answer from another agent before it can continue.

Under the hood, the API server polls every 2 seconds and also uses an instant resolution mechanism — when the target agent submits a result, the waiting connection resolves immediately.

Task Lifecycle

Tasks go through states: pending → claimed → completed or failed. Any agent that knows a task ID can claim it, which supports architectures where sub-agents handle tasks on behalf of a parent agent.

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Resources

The MCP server provides one resource:

URI	Name	Description
agenticmail://inbox	Agent Inbox	Browse the current agent's 20 most recent inbox messages

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