Mail MCP
Local MCP server for macOS Mail reads plus visible unsent compose, reply, and forward drafts, and constrained single-message moves.
README
Mail MCP
Local MCP server for macOS Mail reads plus visible unsent compose, reply, and forward drafts, and constrained single-message moves.
Built entirely by OpenAI GPT-5.4 via Codex.
Overview
This project exposes Apple Mail accounts, mailboxes, inbox messages, and direct message reads through MCP.
Supported tools:
mail_check_accessmail_list_accountsmail_list_mailboxesmail_list_mailbox_messagesmail_list_inbox_messagesmail_get_messagemail_compose_messagemail_reply_to_messagemail_forward_messagemail_move_message
The primary read workflow is mail_list_inbox_messages, which returns messages for all inboxes and supports headersOnly: true when you only need headers and metadata.
The compose workflow is intentionally narrow: the server can open visible unsent compose, reply, and forward drafts, but it does not expose any send tool. The move workflow is intentionally constrained: it supports moving one message within the same account, but it does not allow moves to Trash or deleted-message mailboxes.
Path Conventions
- Tool inputs use explicit segment arrays:
mailboxPathSegments: ["Inbox"]mailboxPathSegments: ["Archive", "2026"]destinationMailboxPathSegments: ["Receipts"]
- Mailbox results include both
pathandpathSegments. Usepathfor display andpathSegmentswhen calling tools. - Message results include both
mailboxPathandmailboxPathSegments. UsemailboxPathfor display andmailboxPathSegmentswhen calling tools. - Message results use
id. Tools that operate on a specific message require that same value under the input namemessageId.
Example round trip:
-
Call
mail_list_mailboxesand pick a mailbox result such as:{ "accountId": "account-1", "name": "Receipts", "path": "Archive / 2026 / Receipts", "pathSegments": ["Archive", "2026", "Receipts"] } -
Call
mail_list_mailbox_messageswith:{ "accountId": "account-1", "mailboxPathSegments": ["Archive", "2026", "Receipts"] } -
Take a returned message object such as:
{ "id": 4812, "accountId": "account-1", "mailboxPath": "Archive / 2026 / Receipts", "mailboxPathSegments": ["Archive", "2026", "Receipts"] } -
Call
mail_get_messagewith:{ "accountId": "account-1", "mailboxPathSegments": ["Archive", "2026", "Receipts"], "messageId": 4812 }
Requirements
- Node.js 20+
- macOS
- Mail.app configured with at least one account
- Automation permission to control Mail
- A signed
MailMCPHelperAppbuild
Setup
-
Install dependencies:
npm install -
Copy
.env.exampleto.envif you want to override defaults:cp .env.example .env -
Build the helper app:
npm run build:helper-appThe build script compiles the app unsigned, then signs the finished bundle with the first local
Apple Developmentidentity. Override that selection withMAIL_MCP_CODESIGN_IDENTITYif needed. -
Run local quality checks:
npm run verify -
Run a real Mail smoke test:
npm run test:live
Optional environment variables:
MAIL_MCP_REQUEST_TIMEOUT_MSMAIL_MCP_HELPER_TIMEOUT_MSMAIL_MCP_HELPER_APP_PATH
Run
Start the server in development:
npm run dev
Build production output:
npm run build
npm start
Permissions
The server launches a signed MailMCPHelperApp and runs Mail automation inside that app process. This keeps the macOS Automation/TCC boundary attached to the helper app instead of Terminal or the client process.
Run mail_check_access once after installation. On first use, macOS may prompt for permission to control Mail.
If the prompt does not appear automatically in your client, launch the helper app directly once:
open MailMCPHelperApp/build/Build/Products/Release/MailMCPHelperApp.app
The server starts even before access is granted. Use mail_check_access to confirm permission state and get an actionable error message if macOS Automation consent is still pending.
To re-run the consent flow on a test machine, reset Mail Apple Events permission for the helper app and then run mail_check_access again:
tccutil reset AppleEvents com.andrewfinke.mailmcphelper
After the reset, confirm that the macOS prompt names MailMCPHelperApp, then confirm System Settings shows MailMCPHelperApp -> Mail.
Verify
npm run verify
Notes
- The filesystem-backed
~/Library/Mailapproach is intentionally not used here because it requires broader privacy access and depends on undocumented Mail storage details. - Message bodies are returned for inbox and mailbox listing tools unless
headersOnly: trueis set. - Compose, reply, and forward tools always open visible drafts. Hidden draft mode is intentionally avoided because Mail does not clean up invisible compose objects reliably through automation.
- Raw headers are optional for list tools and default to
false. - Attachment metadata is included, but not attachment bytes.
- The helper app executes JavaScript for Automation in-process via
OSAKit.
MCP Setup
The server runs over stdio.
Example client configuration for the built server:
{
"mcpServers": {
"mail": {
"command": "node",
"args": ["/absolute/path/to/mail-mcp/dist/index.js"],
"cwd": "/absolute/path/to/mail-mcp",
"env": {
"MAIL_MCP_HELPER_APP_PATH": "/absolute/path/to/mail-mcp/MailMCPHelperApp/build/Build/Products/Release/MailMCPHelperApp.app"
}
}
}
}
For local development without building first:
{
"mcpServers": {
"mail": {
"command": "npx",
"args": ["tsx", "src/index.ts"],
"cwd": "/absolute/path/to/mail-mcp"
}
}
}
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.