draw.io
Create draw.io diagrams in chat from Mermaid or XML, shown live and interactive. 10,000+ shapes.
Maps every service that sends email as a domain, with the public record behind each one.
选择你使用的 AI 应用,然后复制设置。
通过 3/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月14日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
把这段话复制到 Claude 的对话里。AI 会先检查电脑,告诉你要改哪个文件,并且每次都等你同意。
请在这台电脑上为 Claude 安装 MCP server Sendermap,按顺序:1) 用 uv --version 检查是否有 uv。没有的话,请让我从 https://docs.astral.sh/uv/getting-started/installation/ 安装,不要自己安装。2) 只使用这份配置(已通过 PopNx MCP 检查):{ "mcpServers": { "sendermap": { "command": "uvx", "args": [ "sendermap", "mcp" ] } } } 3) 告诉我要修改的文件完整路径或要运行的命令,等我同意。4) 不需要密钥。5) 按约定执行,然后确认 Sendermap 的工具真的出现了。这段话不包含你的密钥。如果需要密钥,AI 会请你自己粘贴到文件或应用的输入框里。
已经装好了吗?先检查 · 打开终端,输入这条命令后按 Enter
uv --versionMac:按 ⌘ + Space,输入 Terminal 后按 Enter
Windows:打开“开始”菜单,输入 Windows PowerShell,然后选“打开”
还没安装: uv 没有点选式安装程序。从 uv 官方页面复制适合你系统(macOS 或 Windows)的一行命令,粘贴到终端 · 不需要单独安装 Python,uv 会在需要时自动下载
装好后关掉终端再打开,重新运行同一条命令,应显示版本号: uv --version
安装一次,所有需要 uv 的工具都能用
SettingsDeveloperEdit Config
{
"mcpServers": {
"sendermap": {
"command": "uvx",
"args": [
"sendermap",
"mcp"
]
}
}
}用 Sendermap 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Sendermap,或回答中出现 Sendermap 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Sendermap
Sendermap 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
A · 使用能连接 Sendermap 的应用
B · 聊天与邮件 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
可连接 Claude Code,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次)
把这段话复制到 Claude Code 的对话里。AI 会先检查电脑,告诉你要改哪个文件,并且每次都等你同意。
请在这台电脑上为 Claude Code 安装 MCP server Sendermap,按顺序:1) 用 uv --version 检查是否有 uv。没有的话,请让我从 https://docs.astral.sh/uv/getting-started/installation/ 安装,不要自己安装。2) 只使用这份配置(已通过 PopNx MCP 检查):claude mcp add --scope user sendermap -- uvx sendermap mcp 3) 告诉我要修改的文件完整路径或要运行的命令,等我同意。4) 不需要密钥。5) 按约定执行,然后确认 Sendermap 的工具真的出现了。这段话不包含你的密钥。如果需要密钥,AI 会请你自己粘贴到文件或应用的输入框里。
已经装好了吗?先检查 · 打开终端,输入这条命令后按 Enter
uv --versionMac:按 ⌘ + Space,输入 Terminal 后按 Enter
Windows:打开“开始”菜单,输入 Windows PowerShell,然后选“打开”
还没安装: uv 没有点选式安装程序。从 uv 官方页面复制适合你系统(macOS 或 Windows)的一行命令,粘贴到终端 · 不需要单独安装 Python,uv 会在需要时自动下载
装好后关掉终端再打开,重新运行同一条命令,应显示版本号: uv --version
安装一次,所有需要 uv 的工具都能用
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --scope user sendermap -- uvx sendermap mcp应能看到 Sendermap 在列表中并显示已连接
用 Sendermap 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Sendermap,或回答中出现 Sendermap 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次)
把这段话复制到 Cursor 的对话里。AI 会先检查电脑,告诉你要改哪个文件,并且每次都等你同意。
请在这台电脑上为 Cursor 安装 MCP server Sendermap,按顺序:1) 用 uv --version 检查是否有 uv。没有的话,请让我从 https://docs.astral.sh/uv/getting-started/installation/ 安装,不要自己安装。2) 只使用这份配置(已通过 PopNx MCP 检查):{ "mcpServers": { "sendermap": { "command": "uvx", "args": [ "sendermap", "mcp" ] } } } 3) 告诉我要修改的文件完整路径或要运行的命令,等我同意。4) 不需要密钥。5) 按约定执行,然后确认 Sendermap 的工具真的出现了。这段话不包含你的密钥。如果需要密钥,AI 会请你自己粘贴到文件或应用的输入框里。
已经装好了吗?先检查 · 打开终端,输入这条命令后按 Enter
uv --versionMac:按 ⌘ + Space,输入 Terminal 后按 Enter
Windows:打开“开始”菜单,输入 Windows PowerShell,然后选“打开”
还没安装: uv 没有点选式安装程序。从 uv 官方页面复制适合你系统(macOS 或 Windows)的一行命令,粘贴到终端 · 不需要单独安装 Python,uv 会在需要时自动下载
装好后关掉终端再打开,重新运行同一条命令,应显示版本号: uv --version
安装一次,所有需要 uv 的工具都能用
用 Sendermap 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Sendermap,或回答中出现 Sendermap 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要先在电脑上安装 Python (uv)(只需一次)
把这段话复制到 VS Code 的对话里。AI 会先检查电脑,告诉你要改哪个文件,并且每次都等你同意。
请在这台电脑上为 VS Code 安装 MCP server Sendermap,按顺序:1) 用 uv --version 检查是否有 uv。没有的话,请让我从 https://docs.astral.sh/uv/getting-started/installation/ 安装,不要自己安装。2) 只使用这份配置(已通过 PopNx MCP 检查):{ "servers": { "sendermap": { "type": "stdio", "command": "uvx", "args": [ "sendermap", "mcp" ] } } } 3) 告诉我要修改的文件完整路径或要运行的命令,等我同意。4) 不需要密钥。5) 按约定执行,然后确认 Sendermap 的工具真的出现了。这段话不包含你的密钥。如果需要密钥,AI 会请你自己粘贴到文件或应用的输入框里。
已经装好了吗?先检查 · 打开终端,输入这条命令后按 Enter
uv --versionMac:按 ⌘ + Space,输入 Terminal 后按 Enter
Windows:打开“开始”菜单,输入 Windows PowerShell,然后选“打开”
还没安装: uv 没有点选式安装程序。从 uv 官方页面复制适合你系统(macOS 或 Windows)的一行命令,粘贴到终端 · 不需要单独安装 Python,uv 会在需要时自动下载
装好后关掉终端再打开,重新运行同一条命令,应显示版本号: uv --version
安装一次,所有需要 uv 的工具都能用
用 Sendermap 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Sendermap,或回答中出现 Sendermap 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
Claude Code
claude mcp add --scope user sendermap -- uvx sendermap mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"sendermap": {
"command": "uvx",
"args": [
"sendermap",
"mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"sendermap": {
"command": "uvx",
"args": [
"sendermap",
"mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"sendermap": {
"type": "stdio",
"command": "uvx",
"args": [
"sendermap",
"mcp"
]
}
}
}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。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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15日
注册名称已通过 GitHub 账户 marmot7775 验证,该账户拥有此仓库
代码最后更新于昨天
使用 MIT
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
OSV.dev 中没有 sendermap@0.1.15 的记录
只检查这个版本的包本身,不包括所有依赖 · 检查于 2026年11月15日
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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 3 项适用的基础检查中通过了 3 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 仓库最后更新于昨天,最新版本(0.1.15)于昨天进入注册中心。
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 Python (uv)。
同一分类中有:draw.io, Vexa, emailmd, Kite Discord Bot Builder, e2a — email for AI agents
同一分类、其他作者、命令已通过检查。官方的排在前面,再按星标排序。
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
Create draw.io diagrams in chat from Mermaid or XML, shown live and interactive. 10,000+ shapes.
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.
Build and fix Discord bots from a chat. Kite hosts them 24/7, with no code to deploy.
Authenticated email gateway for AI agents — per-agent inboxes, HITL approval, SPF/DKIM verified.
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。
Type a domain, see every service that sends email as it, and the public evidence for each one.
Status: early release. The command-line tool works, and the website runs at sendermap.dns-audit.com. Needs Python 3.12 or later.
For any domain, Sendermap builds a map of the services that send or receive its mail: mailbox providers, marketing and transactional platforms, support desks, security gateways and the services that receive its reports. Each one comes with:
It looks beyond the main domain: brands often send from subdomains such as email., mg. or bounce., which a check of the main domain never sees. It also points out what needs attention: DKIM records that point at names that no longer exist, SPF records past the 10 lookup limit, revoked keys, and senders nobody can name. Raw IP ranges nobody can name are grouped by the network that announces them, so a dozen ranges from one provider read as one line.
Each DKIM key is shown with the tags that change what it does: t=y (testing, so verifiers treat mail signed with it as unsigned), t=s (strict), h= (hash algorithms), s= (service types) and k= (key type). A tag that weakens the key, such as testing mode or SHA-1 only, is raised as a finding. Each key also gets a fingerprint, fp and 16 hex characters, so the same key published at two selectors is easy to spot, and the map points it out when it is.
The map also lists what it looked for and did not find, with the DNS answers that show it. Today that covers DKIM keys. Whether "not there" can be trusted depends on how the domain's DNS answers for a name that does not exist, so at each name Sendermap first asks for a selector nobody publishes and reads the answer as one of four classes:
_domainkey itself does not exist, no selector exists under it. The map checks only the few names the domain's SPF and MX point to, rather than its full list, and says so. If _domainkey exists but every name asked is missing, the map says selectors exist but none of the names it tried is one.Everything comes from public sources: DNS, certificate transparency logs, the domain's own website, and public records of who owns each network. Each finding is shown with the record that supports it, so you can check it yourself.
s1, credits its service (Klaviyo) only where the domain's SPF, MX or an NS delegation already shows that service.--no-subdomains. With --ct (off by default), crt.sh is read too, since it also holds expired certificates, and every logged name is resolved now and matched like any DNS record, so a branded tracking link such as link.example.com pointing at an email platform shows up. A logged name that no longer resolves but still points at a service is listed as a possible past vendor, not a current sender. crt.sh is often slow; it is tried three times, each log's answers are cached for a day, and a log that never answers is listed as not checked while the map finishes without it.Run it from the command line. It installs from PyPI (Python 3.12 or later):
pip install sendermap
uvx sendermap example.com # run without installing
The latest code, ahead of a release, installs from GitHub with pip install git+https://github.com/marmot7775/sendermap.
sendermap example.com
sendermap example.com --evidence # every piece of evidence sendermap example.com --markdown # a summary to paste sendermap example.com --json # everything, for scripts sendermap example.com --ct # resolve every name in certificate logs, crt.sh too sendermap example.com --claimed "Office 365, Mailchimp" # hold the services you were told of against the map sendermap example.com --claimed-file services.txt # the same, one name per line sendermap example.com --no-web --no-subdomains # skip the website and the subdomain search sendermap example.com --stop-early-dkim # faster DKIM probe that stops early sendermap example.com --doh # look up DNS over HTTPS through Cloudflare sendermap example.com --json --output map.json # write the map to a file
For scripts and agents: the exit code is 0 when the map was built, 2 for bad input and 3 when the domain's own records could not be read (no map). Progress goes to stderr, and only to a terminal, so stdout holds the map alone. sendermap --help explains every flag.
sendermap.dns-audit.com builds the same map on a web page, with progress shown while it runs. The form has a second box, Services you use (optional): name them, comma separated, and the map ends with Your list against the map, the same check as --claimed. Each map has a link to share, ?d=DOMAIN, with &claimed= added when names were given, plus buttons to copy the Markdown or download the map.
The site's API gives the map as JSON (/api/map?d=DOMAIN), Markdown (/api/map.md), the HTML fragment the page shows (/api/map.html) and a server-sent event stream (/api/map/stream). Each takes &claimed=. Requests are rate limited per visitor and per target domain. /llms.txt lists the API, the schema, the MCP endpoint and the skill for agents.
The site's request log records the path, status and timing of each request, without the query string or the visitor's address, so the domain looked up is not in it. A built map is held in memory for ten minutes so a shared link opens at once. Claimed names are used for that response only and are not cached with the map.
With the mcp extra, sendermap mcp serves two tools over MCP on stdio: sendermap_map, whose structured content is the map as sendermap/1 JSON (summary or full), and sendermap_vendor, one vendor's patterns, proofs and documented setup. The schema and the vendor list are resources.
{
"mcpServers": { "sendermap": { "command": "uvx", "args": ["--from", "sendermap[mcp]", "sendermap", "mcp"] } } }
The website serves the same tools at /mcp over streamable HTTP. For agents without MCP, skills/sendermap/SKILL.md is an Agent Skill that runs the command line and reads the JSON.
--stop-early-dkim it asks first the names of every service SPF, MX and CNAMEs already name, the generic names, and the names of services that need no SPF include. Once every service SPF, MX and CNAMEs name has a key, the rest is not asked, and the map lists those names as not checked, never as not found.sendermap DOMAIN --json and the site's API give one map as JSON, schema sendermap/1, described by sendermap/data/schema/sendermap-1.json (JSON Schema 2020-12; sendermap.schema() in Python, /schema/sendermap-1.json on the site). sendermap/1 grows by addition only: new fields and new values (a new kind of evidence, a new gap kind) may appear, and nothing is removed, renamed or changed in meaning. Ignore fields you do not know and tolerate values you do not know. A breaking change would be sendermap/2.
All vendor knowledge lives in one file, sendermap/data/vendors.json, one block per service, so adding or correcting a vendor is a small pull request. The first version was imported from the vendor tables in dns-audit (MIT).
Each vendor gets one block in sendermap/data/vendors.json, and everything known about it goes there. Every pattern in a block (an SPF include, an MX host, a CNAME target, a report address, a verification token, a network, a website host, a selector name, a subprocessor name) carries one proof of its own: a live domain that publishes it, the record name or page as found, and the date checked (a numbered series of selectors such as s1, s2 needs one for the series). A pattern without a proof does not get merged, and Sendermap refuses to load one. A block may also list aliases, the other names customers call the service by ("Office 365" for Microsoft 365). An alias needs no proof, since it matches only what a person types, never a record.
Patterns