Ray MCP server

MCP serverCommunication

Send email, push, Slack, Discord, Telegram and webhook notifications and manage templates with Ray.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use Ray MCP server

From the project's README

As published by gege-mn/ray-mcp in README.md.

MCP server for Ray, 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, generic webhooks and an in-app feed). It is not the Ray distributed computing framework.

Hosted or local?

Ray runs an MCP server for you. There are two ways to connect, with the same tools:

Hosted (recommended)Local (this package)
What runsNothing on your machinenpx -y @gege-mn/ray-mcp, a stdio process
Endpointhttps://ray-api.gege.mn/mcp (Streamable HTTP)Bridges to the hosted endpoint
AuthAuthorization: Bearer <key> headerRAY_API_KEY environment variable
Use it whenYour client supports remote servers with custom headersYour 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.

1. Get an API key

  1. Sign in at ray.gege.mn and open API keys.
  2. Create a key. It starts with 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.
  3. Configure at least one channel in the dashboard under Channels. Channel credentials can't be created through the API or MCP.

The examples below use ck_live_... as a placeholder. Keep real keys out of version control.

2. Add Ray to your client

Claude Code

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.

Claude Desktop

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

.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 (GitHub Copilot)

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}" } }.

Windsurf

~/.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

~/.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.

Zed

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 other client

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_....

Environment variables (local package)

VariableRequiredDefaultDescription
RAY_API_KEYyesRay API key (ck_live_...). Whitespace, quotes and a Bearer prefix are stripped.
RAY_MCP_URLnohttps://ray-api.gege.mn/mcpHosted endpoint to bridge to. Only change it for staging or local development.

CLI flags: --help, --version. Requires Node.js 18 or newer.

Tools

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:

ToolWhat it does
whoamiShows the workspace, key id and scopes of the API key in use.
get_usagePlan, subscription status and this month's usage against the quota.
list_channelsConfigured channels with their ids and the recipient shape each accepts. Call first.
send_notificationSends a notification (single, fan-out, multi-channel or feed-only). Needs write.
get_send_statusDelivery status of a send, with per-recipient rows.
list_templatesLists message templates.
get_templateOne template with its published version and draft.
create_templateCreates a template, optionally publishing it. Needs write.
update_template_draftReplaces a template's draft. Needs write.
publish_templatePublishes a template's draft as the live version. Needs write.
archive_templateArchives a template. Needs write.
unarchive_templateRestores an archived template. Needs write.
test_send_templateSends a real test of a published template to one recipient. Needs write.
list_feed_notificationsReads one end user's in-app notification feed.
get_click_statsEmail link click counts for a send or campaign.
list_webhooksLists outbound event webhooks and their delivery health.
get_webhookOne outbound webhook.
create_webhookCreates an outbound webhook; returns its signing secret once. Needs write.
update_webhookChanges a webhook or rotates its secret. Needs write.
delete_webhookDeletes a webhook. Needs write.
read_docsReads 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.

Example prompts

  • "Send a test email to me through Ray."
  • "Which Ray channels do I have, and what recipient does each one need?"
  • "Create and publish a welcome email template in Ray with a firstName param, then test-send it to me."
  • "Did send snd_... get delivered? Show me any failures."
  • "How many notifications have we sent this month, and how much quota is left?"
  • "Set up a Ray webhook to https://example.com/hooks/ray for failed deliveries."

Troubleshooting

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.

  • Only a setup_help tool is listed. The server can't load Ray's tools. Its description says why. Without 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.
  • "Ray rejected the API key (HTTP 401)". The key is wrong, revoked, or was pasted incompletely. Create a new key at ray.gege.mn, update the config and restart the client.
  • "write scope required" or HTTP 403. The key is read-only, or your plan doesn't include the feature (webhooks need Pro or higher). Use a key with the write scope.
  • HTTP 402 / quota. The workspace used its monthly quota. Check with get_usage.
  • HTTP 429. Rate limited; the error says how many seconds to wait. See rate limits.
  • "Could not reach Ray's MCP endpoint (ECONNREFUSED / ENOTFOUND / ...)". Network, proxy or firewall problem, or a wrong RAY_MCP_URL.
  • npx not found or old Node. Install Node.js 18+ and make sure 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.
  • Check the server by hand: 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.

Related

Development

npm ci
npm run typecheck
npm test        # vitest: bridge end to end against an in-process fake Ray endpoint
npm run build   # tsup -> dist/index.js
npm run 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.

License

MIT © gege.mn

Advanced
Delivery
ray-mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
io-github-gege-mn-ray-mcp
Source
github.com/gege-mn/ray-mcp
Hosted endpoint
https://ray-api.gege.mn/mcp