Feature Requests

We use Missive together with Claude via the Missive MCP server. The MCP server can read conversations, create drafts and add or remove labels, but it cannot snooze a conversation. Missive support confirmed this on 12 October 2026. Typical case: after sending an email we snooze the conversation for a few business days until we expect a reply. Today this step has to be done by hand or through browser automation. Please add an MCP tool to snooze a conversation until a given date and time, and to remove an existing snooze.

We use Missive together with Claude via the Missive MCP server. The change_labels tool only covers shared labels and email label mailboxes, so the MCP server cannot archive a conversation or move it back to the Inbox. Please add MCP tools to archive a conversation and to move an archived conversation back to the Inbox.

The Missive MCP server can create and update email drafts through compose_draft, but it cannot attach files. Missive support confirmed this limit on September 29, 2026. Please add a way to upload files and attach them to new or existing drafts through MCP. The draft should show the file names and attachments before the email is sent. For example, an AI assistant could create a report or PDF on my computer, then prepare an email with that file attached in Missive. I could review the draft and approve the email without adding the file by hand.

When responding to comments from colleagues under an email, wouldn't it be great to be able to archive it too? That way the 'commented email inbox' can stay clean and the work better organised. Keen to keep the chaos at bay too? Please VOTE 🗳️ 💪 thank you 🙏🏻

When a task is created in a new discussion and no members have been added to it yet, the task doesn't appear in the inbox; we always have to go check the “Tasks” section. It would be nice if we can be notified.

I want to use Conversations via the MCP to handle ongoing items via the MCP.

Could you add support for closing/reopening conversations through the MCP connector? This would let automations mark a conversation as done once a reply has been sent, without requiring manual action in the Missive app.

Give Missive an overview of your company, people's roles, etc (or provide some data source where this can be queried live). Send this roles/responsibilities/routing decision information to Jev, with a list of possible teams and users to assign in Missive. Let Jev assign them, falling back to some specified team on low confidence matches. This can, of course, be built as a separate integration. Which I will do in the meantime.

We often have to translate messages into German, which uses both the informal and formal case. Right now the default prompt will always generate a translation that uses the formal case. Most of the time this is inappropriate for the conversations we're engaging in and we then have to refine the translation by asking for it to be in the informal case. We'd love to save time and tokens by having the option to adjust the default setting/prompt for AI translations to start with the informal case.

import {useState} from “react”; export default function inboxZero ({ inboxCount, initialPhoto = null, SavePhoto }) { const [photo, setPhoto] = useState (initialPhoto); async function uploadPhoto (event) { const file = event.target .files?. [0]; If (! file) return; const allowed = [ “image/jpeg”, “image/png”, “image/webp” ]; If (! allowed.includes (file.type)) { alert (“Image format not accepted. “); return; } if (file.size > 5 1024 1024) { alert (“Maximum 5 MB. “); return; } //SavePhoto should upload the image to //a private storage associated with the user. const url = await SavePhoto (file); setPhoto (url); } if (inboxCount! == 0) return null; Return ( <main className="inbox-zero"> <h1>✨ Inbox Zero!</h1> <p>Everything is up to date. Enjoy the moment.</p> {photo & ( <img src= {photo} alt="My custom photo” style= {{ width: "100% “, Max Width: 700, Max height: 450, objectFit: “contain”, BorderRadius: 16 }} />/ )} <label> Choose my photo <input type="file” accept="image/png, image/jpeg, image/webp” onChange= {uploadPhoto} />/</label> </main> ); }