Search, move, mark, delete and draft your real mail over a self-hosted index.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Mailindex MCP.
list_mail_accountsaccounts, non-secret settings, exact stored message counts
add_mail_accountadd an IMAP/SMTP mailbox
update_mail_accountchange one mailbox's settings
begin_mail_account_password_setupshort-lived password-only browser form
begin_gmail_connectionfive-minute signed URL for Google consent
search_mailexhaustive lexical search
A mail client for an AI agent. Everything you can do in Thunderbird β search, move, mark, delete, draft β over your own index, on your own machine.
Most email MCP servers forward each question straight to IMAP. That answers "show
me my last 10 messages" and falls apart on everything else: SEARCH is
inconsistent between providers, it cannot see inside attachments, it never tells
the model whether it actually searched everything, and it cannot do a thing about
what it finds.
So when you ask an assistant to clear eight thousand newsletters out of your inbox, it tells you that would be eight thousand tool calls and suggests you go and do it by hand in the web interface.
This one keeps its own copy of your mail and acts on it:
One call. One connection. Six seconds. That is the difference between a search box and a mail client.

A real question against a live index of about 59,000 messages across six accounts. One string is blurred: a case number belonging to a real filing.
| This project | Typical email MCP | |
|---|---|---|
| Can it change anything | Move, mark, delete, draft, manage folders β in bulk, by search | Read-only, or one message per call |
| Search | Own PostgreSQL index, GIN full-text, stemmed across languages | Live IMAP SEARCH per call |
| Result completeness | Exact total_count, signed cursors, per-account coverage | Whatever the folder returned |
| Attachments | Text extracted and indexed at sync time (PDF, DOCX, XLSX, PPTX, OCR) | Base64 into the model's context, or not at all |
| Attachment binaries | Never stored; refetched through a 5-minute signed URL | Stored on disk or inlined |
| Transport | Remote HTTP endpoint | Local stdio process on your machine |
| Setup on the client | Paste a URL | Install a runtime, edit config JSON, store credentials locally |
| Users | Multi-tenant, every row owner-scoped | Single user |
| Tool surface | 19 tools, all annotated | Frequently 40+ |
What it costs you, stated up front. You run PostgreSQL and a container. The index is about 28 MB per 1,000 messages β a 50,000-message archive is roughly 1.5 GB β and the image is 1.25 GB because it carries OCR language data. The first sync downloads every message once; search works on what has arrived while the rest continues in the background, and each account reports its own coverage so the model knows what it has not seen yet.
In exchange your assistant can answer questions about mail from years ago, including text inside attachments, and then act on the answer. None of it leaves your machine.
Five minutes, local only, no accounts to create anywhere.
Every compose file here pulls
ghcr.io/alexanderkrauck/mailindex-mcp
β amd64 and arm64, so a Raspberry Pi or an Apple Silicon machine works the same
way. Append --build to any of them to compile it yourself instead; expect
several minutes, because the image carries OCR language data.
Pin a version for anything you care about. This is pre-1.0: the schema
changes between releases and migrations run automatically on start, so an
unpinned latest can migrate your database the moment you restart.
MAILINDEX_IMAGE works with all three compose files, and belongs in your .env
rather than on the command line. Note the image tag has no v β the git tag is
v0.1.0, the image is 0.1.0, and 0.1 follows the latest patch of that minor
version.
Check it came up:
The default development mode is unauthenticated and Docker binds it to
127.0.0.1 only. It is meant for exactly this: trying the thing out on your own
machine.
Do this before connecting a mailbox β it is how you connect one.
For other clients, point them at http://localhost:8002/mcp over streamable HTTP.
Then ask something your inbox search would struggle with β a phrase inside a PDF
someone sent you three years ago works well.
Just ask your client β add_mail_account is one of the tools:
Connect my mailbox you@example.com, IMAP imap.example.com, SMTP smtp.example.com
Do not give it the password. Asked without one, it hands you back a short-lived URL to a form that asks for the password alone and sends it from your browser straight to the server. It never passes through the model, never lands in the conversation transcript your AI provider keeps, and it is the only way that works with clients such as ChatGPT that refuse to transmit secrets.
Use an app password from your provider's security settings, never your account login password. For Gmail, ask it to start the Gmail OAuth flow instead: that uses the Gmail API and survives label changes better.
Synchronization starts on its own and runs in the background. Search works on what has arrived already β ask "how much of my mail have you indexed so far?" and it will tell you exactly, per account, because every search reports its own coverage rather than pretending to be complete.
Four ways people arrive at this, and the shortest honest path for each.
Everything runs locally, nothing to sign up for.
Add a mailbox with an app password (see below), wait for it to sync, then ask
your client something your inbox search would lose. What you need: Docker,
and an app password from your provider. What to expect: the first build
compiles psycopg2 and pulls ~130 MB of OCR language data, so it takes minutes,
not seconds. Auth is off and Docker binds to 127.0.0.1 only β fine here,
never expose it.
You need a small VPS and a domain. Caddy gets the TLS certificate for you.
Every value from openssl rand -base64 32; the API token must be at least 32
characters or the server refuses to start. What you need: a VPS with ~2 GB
RAM and disk for roughly 25 MB per 1,000 messages, a domain, and an app password
per mailbox. What to expect: works with anything that sends an
Authorization header β Claude Code, Cursor, mcp-remote. It will not work
with the claude.ai or ChatGPT web connectors, which negotiate OAuth and cannot
send a static token. If you want those, use the next one.
Google OAuth, so each person signs in as themselves and sees only their own mailboxes.
What you need: everything above, plus a Google Cloud OAuth Web application with the two redirect URIs listed under Deployment modes. What to expect: an unverified-app warning until you submit the consent screen, and a 100-user cap while unverified β neither matters at this size.
Set
REGISTRATION_MODE=allowlist. Withopen, any Google account on earth can register on your server and attach mailboxes, andALLOWED_GOOGLE_EMAILSis never read. Tenant isolation still keeps strangers out of your mail, but they get an account on your box. This is the easiest thing to get wrong on a public host.
Honestly: not yet, and here is exactly what is missing rather than a maybe.
What works today. Run it for one team as a pilot using the Google setup above. Multi-tenancy is real and enforced at the query level β every row is owner-scoped, and ownership comes from the authenticated token rather than anything a caller supplies. Mailbox credentials are encrypted at rest and never returned. Attachment binaries are never stored.
What blocks a company-wide rollout.
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