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)
Send email, push, Slack, Discord, Telegram and webhook notifications and manage templates with Ray.
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。
RAY_API_KEY, RAY_MCP_URL, Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"ray": {
"command": "npx",
"args": [
"-y",
"@gege-mn/ray-mcp"
],
"env": {
"RAY_API_KEY": "your-value",
"RAY_MCP_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add --transport http ray https://ray-api.gege.mn/mcp --header 'Authorization: Bearer {ray_api_key}'claude mcp add ray --env RAY_API_KEY=your-value --env RAY_MCP_URL=your-value -- npx -y @gege-mn/ray-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"ray": {
"url": "https://ray-api.gege.mn/mcp",
"headers": {
"Authorization": "Bearer {ray_api_key}"
}
}
}
}粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"ray": {
"command": "npx",
"args": [
"-y",
"@gege-mn/ray-mcp"
],
"env": {
"RAY_API_KEY": "your-value",
"RAY_MCP_URL": "your-value"
}
}
}
}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": {
"ray": {
"type": "http",
"url": "https://ray-api.gege.mn/mcp",
"headers": {
"Authorization": "Bearer {ray_api_key}"
}
}
}
}粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"ray": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@gege-mn/ray-mcp"
],
"env": {
"RAY_API_KEY": "your-value",
"RAY_MCP_URL": "your-value"
}
}
}
}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。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
RAY_MCP_URL envAuthorization 机密 必填 HTTP header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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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 gege-mn 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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
你需要填写:RAY_API_KEY, Authorization
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于–,最新版本(0.1.0)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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。
MCP server for [Ray](https://ray.gege.mn), the notification delivery API. It lets Claude, Cursor, VS Code, Windsurf, Codex, Zed and any other MCP client send notifications and manage templates, delivery webhooks and usage in your Ray workspace.
Ray here is the multi-tenant notification API from gege.mn (email via Amazon SES or SMTP, Firebase push, Slack, Discord, Telegram, SMS via Twilio or sendsms.mn, generic webhooks and an in-app feed). It is not the Ray distributed computing framework.
Ray runs an MCP server for you. There are two ways to connect, with the same tools:
| Hosted (recommended) | Local (this package) | |
|---|---|---|
| What runs | Nothing on your machine | npx -y @gege-mn/ray-mcp, a stdio process |
| Endpoint | https://ray-api.gege.mn/mcp (Streamable HTTP) | Bridges to the hosted endpoint |
| Auth | Authorization: Bearer header | RAY_API_KEY environment variable |
| Use it when | Your client supports remote servers with custom headers | Your client only runs stdio servers (e.g. Claude Desktop config file), or you prefer env vars over headers |
This package is a thin bridge: it connects to the hosted endpoint with your key and mirrors its tool list, descriptions and instructions, so new tools appear without upgrading the package. All validation, scopes, rate limits and quota are enforced by Ray's API.
ck_live_ and is shown only once.read scope: status, templates, usage, docs.write scope: also needed to send, create or change templates, and manage webhooks.The examples below use ck_live_... as a placeholder. Keep real keys out of version control.
Hosted:
claude mcp add --transport http ray https://ray-api.gege.mn/mcp --header "Authorization: Bearer $RAY_API_KEY"
Local:
claude mcp add ray --env RAY_API_KEY=ck_live_... -- npx -y @gege-mn/ray-mcp
Add --scope user to make it available in every project. Check the connection with claude mcp get ray.
Edit claude_desktop_config.json (Settings → Developer → Edit Config; macOS ~/Library/Application Support/Claude/claude_desktop_config.json, Windows %APPDATA%\Claude\claude_desktop_config.json), then fully restart Claude Desktop:
{
"mcpServers": { "ray": { "command": "npx", "args": ["-y", "@gege-mn/ray-mcp"], "env": { "RAY_API_KEY": "ck_live_..." } } } }
.cursor/mcp.json in a project, or ~/.cursor/mcp.json for all projects.
Hosted:
{
"mcpServers": { "ray": { "url": "https://ray-api.gege.mn/mcp", "headers": { "Authorization": "Bearer ck_live_..." } } } }
Local:
{
"mcpServers": { "ray": { "command": "npx", "args": ["-y", "@gege-mn/ray-mcp"], "env": { "RAY_API_KEY": "ck_live_..." } } } }
Cursor can read the key from your environment instead: "Authorization": "Bearer ${env:RAY_API_KEY}".
VS Code's mcp.json (.vscode/mcp.json in a workspace, or MCP: Open User Configuration) uses a top-level servers key and can prompt for the key so it isn't stored in the file:
{
"inputs": [ { "id": "ray-api-key", "type": "promptString", "description": "Ray API key (ck_live_...)", "password": true } ], "servers": { "ray": { "type": "http", "url": "https://ray-api.gege.mn/mcp", "headers": { "Authorization": "Bearer ${input:ray-api-key}" } } } }
Local variant: replace the server entry with { "type": "stdio", "command": "npx", "args": ["-y", "@gege-mn/ray-mcp"], "env": { "RAY_API_KEY": "${input:ray-api-key}" } }.
~/.codeium/windsurf/mcp_config.json (Windsurf calls the URL field serverUrl and supports ${env:VAR}):
{
"mcpServers": { "ray": { "serverUrl": "https://ray-api.gege.mn/mcp", "headers": { "Authorization": "Bearer ${env:RAY_API_KEY}" } } } }
Local: use the same command / args / env entry as in the Cursor example.
~/.codex/config.toml, local:
[mcp_servers.ray]
command = "npx" args = ["-y", "@gege-mn/ray-mcp"] env = { RAY_API_KEY = "ck_live_..." }
Hosted, reading the key from your shell environment:
[mcp_servers.ray]
url = "https://ray-api.gege.mn/mcp" bearer_token_env_var = "RAY_API_KEY"
Or from the CLI: codex mcp add ray --env RAY_API_KEY=ck_live_... -- npx -y @gege-mn/ray-mcp.
In Zed's settings.json:
{
"context_servers": { "ray": { "url": "https://ray-api.gege.mn/mcp", "headers": { "Authorization": "Bearer ck_live_..." } } } }
Local: "ray": { "command": "npx", "args": ["-y", "@gege-mn/ray-mcp"], "env": { "RAY_API_KEY": "ck_live_..." } }.
Any client that runs stdio servers:
{
"mcpServers": { "ray": { "command": "npx", "args": ["-y", "@gege-mn/ray-mcp"], "env": { "RAY_API_KEY": "ck_live_..." } } } }
Any client that supports Streamable HTTP: URL https://ray-api.gege.mn/mcp, header Authorization: Bearer ck_live_....
| Variable | Required | Default | Description |
|---|---|---|---|
RAY_API_KEY | yes | Ray API key (ck_live_...). Whitespace, quotes and a Bearer prefix are stripped. | |
RAY_MCP_URL | no | https://ray-api.gege.mn/mcp | Hosted endpoint to bridge to. Only change it for staging or local development. |
CLI flags: --help, --version. Requires Node.js 18 or newer.
The tool list comes from the hosted server, so it can grow over time; your client shows the authoritative descriptions and input schemas. Current tools:
| Tool | What it does |
|---|---|
whoami | Shows the workspace, key id and scopes of the API key in use. |
get_usage | Plan, subscription status and this month's usage against the quota. |
list_channels | Configured channels with their ids and the recipient shape each accepts. Call first. |
send_notification | Sends a notification (single, fan-out, multi-channel or feed-only). Needs write. |
get_send_status | Delivery status of a send, with per-recipient rows. |
list_templates | Lists message templates. |
get_template | One template with its published version and draft. |
create_template | Creates a template, optionally publishing it. Needs write. |
update_template_draft | Replaces a template's draft. Needs write. |
publish_template | Publishes a template's draft as the live version. Needs write. |
archive_template | Archives a template. Needs write. |
unarchive_template | Restores an archived template. Needs write. |
test_send_template | Sends a real test of a published template to one recipient. Needs write. |
list_feed_notifications | Reads one end user's in-app notification feed. |
get_click_stats | Email link click counts for a send or campaign. |
list_webhooks | Lists outbound event webhooks and their delivery health. |
get_webhook | One outbound webhook. |
create_webhook | Creates an outbound webhook; returns its signing secret once. Needs write. |
update_webhook | Changes a webhook or rotates its secret. Needs write. |
delete_webhook | Deletes a webhook. Needs write. |
read_docs | Reads Ray's documentation as markdown. |
Read-only tools are annotated readOnlyHint; archive and delete tools are annotated destructiveHint, so clients can ask before running them.
firstName param, then test-send it to me."snd_... get delivered? Show me any failures."https://example.com/hooks/ray for failed deliveries."The local package always starts, even when something is wrong, and explains the problem through MCP instead of crashing. Diagnostics go to stderr (your client's MCP log); stdout carries only MCP messages.
RAY_API_KEY every tool call returns setup steps. If the endpoint was unreachable, call setup_help after fixing the cause: it retries, and on success the client is told the tool list changed. If your client doesn't refresh, reload the server.write scope.get_usage.RAY_MCP_URL.npx is on the PATH your client uses. On macOS GUI apps may not see shell PATH changes; use an absolute path to npx if needed.RAY_API_KEY=ck_live_... npx -y @gege-mn/ray-mcp should log connected to https://ray-api.gege.mn/mcp on stderr, then wait for input (Ctrl+C to exit). Or inspect it with npx @modelcontextprotocol/inspector npx -y @gege-mn/ray-mcp..md to any docs URL for raw markdown). The MCP setup guide is Using Ray with AI coding agents.@gege-mn/ray (gege-mn/ray-node).npx skills add gege-mn/ray-skills).pnpm install
pnpm typecheck pnpm test # vitest: bridge end to end against an in-process fake Ray endpoint pnpm build # tsup -> dist/index.js pnpm smoke # the built binary over real stdio RAY_MCP_URL=http://localhost:8787/mcp RAY_API_KEY=ck_live_... node dist/index.js
Releasing: bump the version in package.json, server.json (both version fields) and src/version.ts, update CHANGELOG.md, then publish a GitHub release tagged vX.Y.Z. The publish workflow ships to npm and the MCP Registry. To publish by hand instead: pnpm publish --access public, then run the MCP Registry workflow (a personal mcp-publisher login github can't publish under the gege-mn namespace).
MIT © gege.mn