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ChatGPT Plugin

Mailbox MCP

Read, send and file your email

View in the ChatGPT registry
Brand
Unknown
Category
Pending
Primary Subcategory
Pending
Integration details

Description

Mailbox MCP connects ChatGPT to a mailbox you already own, on Microsoft 365, Gmail, or any IMAP host. There is no new address and nothing to migrate. People often ask how to connect ChatGPT to Outlook. The distinction that matters is this: it does not drive the Outlook application on your computer. It opens the same mailbox Outlook opens, on the server. So it works whether Outlook is running or not, from any device, and it works the same way whether your mail lives on Microsoft 365, Google Workspace, Gmail, or a hosting company's IMAP server. It can triage what has arrived and say what actually needs you, search across folders, read a whole thread in order, read what is inside an attachment (an invoice total, a spreadsheet, a scanned letter), draft a reply for you to check before it goes, send, forward with the original attachments intact, flag, archive, report junk, and file messages into folders. It can look up someone you have written to before, tell you whether a message bounced and whether that bounce was permanent, and check the SPF, DKIM, DMARC and MX records for your own domain. Your address book comes with the mailbox: Outlook contacts on Microsoft 365, or a CardDAV book on any host that offers one. It can find a person, read their card with the postal address and postcode, add and correct contacts, and import a contacts file. Mailboxes on Microsoft 365, and any host offering CalDAV, get calendar tools on the same connection: read and search the diary, create and update events, check who is free, find a meeting time, send and answer invitations, and set an out of office reply. Which tools appear is measured against your servers when you connect, so you are never offered one they could not honour. Every connection carries a permission level you choose at approval: read only, draft and file, or send and delete. A shared mailbox can be worked by a team: claim a message so colleagues see who has it, hand one to a named person, and hold a draft for the owner's approval before it is sent. It is built so the mailbox is left exactly as you would have left it yourself. Replies carry the threading headers, so they nest inside the conversation in the recipient's client rather than starting a new one. Reading a message does not mark it as read. Exactly one copy of anything sent is filed in Sent. Moving a message keeps its flags and its original date. Nothing you read is stored: mail, calendar and contact content passes through the server in memory and is never written down. Destructive actions are labelled as destructive, and it refuses rather than guesses. It will not delete a folder that still holds messages, and it stops to ask before replying to an address that differs from the visible sender. The company behind it, BSolve IT Limited, holds Cyber Essentials certification.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
Account required
First tracked
2026-10-02
Tool count
64
Geography
US
Agent DiscoverabilityChatGPT Plugin Discovery Score

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What discovery looks like

ChatGPT recommends Airtable when a user asks it to update a CRM.
ChatGPT surfaces Airtable because it matches the user's request.

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Mailbox MCP has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

64 tools agents can invoke

Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

Mailbox MCP FAQ

How the directory, categories and Discoverability Score work.

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How do I improve a ChatGPT Plugin's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.