Vexa
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
作者提供的说明(英文原文)
Read Outlook .msg, .eml and winmail.dat files locally: headers, body and attachments.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"msglens": {
"command": "npx",
"args": [
"-y",
"msglens-cli",
"mcp"
]
}
}
}在终端中运行这条命令
claude mcp add msglens -- npx -y msglens-cli mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"msglens": {
"command": "npx",
"args": [
"-y",
"msglens-cli",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"msglens": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"msglens-cli",
"mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册名称已通过 GitHub 账户 AndyLiu0427 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.2.1)于37天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Vexa, emailmd, MCP WhatsApp Cloud
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Read Outlook .msg, .eml and winmail.dat files from the command line, from Node, or from an AI assistant over MCP. Headers, the message body and attachments, with no Outlook and nothing uploaded.
These are the same parsers that run in the browser at msglens.app.
npx msglens-cli read message.msg
Most real Outlook mail does not store its body as HTML or plain text. In a sample of 20 business .msg files, 17 kept the body only in PidTagRtfCompressed: compressed RTF with the original HTML wrapped inside it (MS-OXRTFCP and MS-OXRTFEX). A parser that reads PidTagHtml and PidTagBody and stops returns an empty body for those messages. This one decompresses the RTF and un-wraps the HTML, falling back through PidTagHtml, PidTagBodyHtml, compressed RTF and PidTagBody in that order.
It also:
winmail.dat (TNEF), including the attachments trapped inside itInstall it with npm install -g msglens-cli and the command is msglens; or run it without installing as npx msglens-cli.
msglens read <file...> [--json] print headers and the plain-text body
msglens attachments [-o ] save every attachment msglens convert --to eml|txt [-o ] msglens mcp MCP server on stdio (see below)
read --json prints the full parsed message (one object for one file, an array for several). Attachment bytes are left out; names, types and sizes stay.attachments and convert never overwrite: a second invoice.pdf is saved as invoice (1).pdf. Attachment names are reduced to a plain file name, so a message cannot write outside the output folder.Convert a folder of .msg files to .eml:
npx msglens-cli convert ./mail/*.msg --to eml -o ./eml
msglens mcp runs a Model Context Protocol server on stdio, so Claude, Codex, Cursor and other assistants can open email files on your machine themselves. It has three tools:
read_email: subject, sender, recipients, date, plain-text body and the attachment list (optionally the raw headers)save_attachments: writes every attachment into a folderconvert_email: .msg or winmail.dat to .eml or .txtThe files stay on your machine; the server makes no network requests.
Claude Code
claude mcp add msglens -- npx -y msglens-cli mcp
Codex (~/.codex/config.toml)
[mcp_servers.msglens]
command = "npx" args = ["-y", "msglens-cli", "mcp"]
Claude Desktop, Cursor and other JSON-configured clients
{
"mcpServers": { "msglens": { "command": "npx", "args": ["-y", "msglens-cli", "mcp"] } } }
Then ask, for example, "summarise ~/Downloads/invoice-query.msg and save its attachments to ~/Desktop/invoice".
Message text is written by whoever sent the email, so the tools tell the assistant to treat it as data and not to follow instructions inside it.
import { parseFile, parse, toEml, toText } from "msglens-cli";
const email = await parseFile("message.msg"); email.subject; // string email.from; // { name, address } | null email.date; // Date | null email.bodyText; // plain text, always filled email.body; // HTML when email.bodyKind === "html" email.attachments; // [{ fileName, mimeType, size, content: Uint8Array, isEmbeddedMessage, ... }]
const again = await parse(bytes, "message.msg"); // from a Uint8Array or ArrayBuffer const eml = await toEml(email); // RFC 822 text
email.body is the message's HTML exactly as the sender wrote it. It is untrusted: sanitise it (for example with DOMPurify) before rendering it anywhere.
An attachment with isEmbeddedMessage: true is a message attached to a message; pass its content to parse() to read it.
Requires Node 20 or later.
msglens.app opens .msg, .eml and winmail.dat in the browser, parsed on your device, with attachments and PDF export.
MIT. Microsoft and Outlook are trademarks of Microsoft Corporation; this project is not affiliated with Microsoft.