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URL: https://glama.ai/mcp/servers/vietanha34/sigma-platform-mcp

⇱ sigma-streaming-platform-mcp by vietanha34 | Glama

sigma-streaming-platform-mcp

MCP server for Sigma Streaming Platform. Lets DevOps operators query and operate the platform from any AI client (Claude Desktop, Cursor, Kiro).

Prerequisites

  1. A Personal API Token — create at your Sigma portal under Settings → API Tokens

  2. Node.js 22+

Related MCP server: Railway MCP Server

Setup

cd /path/to/sigma-streaming-platform-mcp
npm install
npm run build # uses tsgo (TypeScript native compiler)
npm run lint # uses Biome for linting + formatting
npm run lint:fix # auto-fix

Deployment Options

This MCP supports two deployment paths without changing the server architecture:

  1. npx for direct local execution

  2. Docker for a containerized stdio process launched via docker run -i --rm sigmastreaming/cloud-mcp

Choose Docker when your MCP client can invoke Docker directly and you want isolated runtime dependencies.

Run Via npx

The package currently published on npm is @sigmaott/cloud-mcp. Run the MCP server directly with:

SIGMA_TOKEN=pat_your_token_here \
SIGMA_BASE_URL=https://api.sigma.example.com \
npx -y @sigmaott/cloud-mcp

This works because the package exposes a CLI binary pointing to dist/main.js.

Run Via Docker

Build the image from this repository:

docker build -t sigmastreaming/cloud-mcp .

Or use the bundled script:

npm run docker:build

Run the MCP server as a stdio container:

docker run -i --rm \
 -e SIGMA_TOKEN=pat_your_token_here \
 -e SIGMA_BASE_URL=https://api.sigma.example.com \
 sigmastreaming/cloud-mcp:latest

Or, if you prefer to pass environment variables from your current shell:

export SIGMA_TOKEN=pat_your_token_here
export SIGMA_BASE_URL=https://api.sigma.example.com
npm run docker:run

Environment Variables

Variable

Required

Description

SIGMA_TOKEN

✅

Personal API Token (pat_...)

SIGMA_BASE_URL

✅

Traefik ingress URL (e.g. https://api.sigma.example.com)

Claude Desktop Configuration

Using npx

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
 "mcpServers": {
 "sigma-streaming-platform": {
 "command": "npx",
 "args": ["-y", "@sigmaott/cloud-mcp"],
 "env": {
 "SIGMA_TOKEN": "pat_your_token_here",
 "SIGMA_BASE_URL": "https://api.sigma.example.com"
 }
 }
 }
}

Using Docker

If Claude Desktop on your machine can invoke Docker directly, use:

{
 "mcpServers": {
 "sigma-streaming-platform": {
 "command": "docker",
 "args": [
 "run",
 "-i",
 "--rm",
 "-e",
 "SIGMA_TOKEN",
 "-e",
 "SIGMA_BASE_URL",
 "sigmastreaming/cloud-mcp:latest"
 ],
 "env": {
 "SIGMA_TOKEN": "pat_your_token_here",
 "SIGMA_BASE_URL": "https://api.sigma.example.com"
 }
 }
 }
}

Kiro CLI Configuration

Using npx

Add to ~/.kiro/settings/mcp.json:

{
 "mcpServers": {
 "sigma-streaming-platform": {
 "command": "npx",
 "args": ["-y", "@sigmaott/cloud-mcp"],
 "env": {
 "SIGMA_TOKEN": "pat_your_token_here",
 "SIGMA_BASE_URL": "https://api.sigma.example.com"
 }
 }
 }
}

Using Docker

{
 "mcpServers": {
 "sigma-streaming-platform": {
 "command": "docker",
 "args": [
 "run",
 "-i",
 "--rm",
 "-e",
 "SIGMA_TOKEN",
 "-e",
 "SIGMA_BASE_URL",
 "sigmastreaming/cloud-mcp:latest"
 ],
 "env": {
 "SIGMA_TOKEN": "pat_your_token_here",
 "SIGMA_BASE_URL": "https://api.sigma.example.com"
 }
 }
 }
}

Local Development (kubectl port-forward)

If accessing via port-forward to the Traefik ingress:

kubectl port-forward svc/traefik 8080:80 -n traefik

Then use:

SIGMA_BASE_URL=http://localhost:8080

Available Tools

Tool

Params

Description

list_apps

page?, perPage?, search?

List all tenant apps/workspaces

get_app_detail

appId

Get app detail

list_servers

appId, page?, perPage?

List media servers for an app

get_server_info

appId, serverId

Get server detail

list_channels

appId, status?, name?, page?, perPage?

List transcoding channels

get_channel_detail

appId, channelId

Get channel detail

list_error_channels

appId

List channels in error state

start_channel

appId, channelId

Start a stopped channel

stop_channel

appId, channelId

Stop a channel

restart_channel

appId, channelId

Restart a channel (error recovery)

Typical Workflow

User: "Tìm xem app nào đang có channel lỗi"

AI → list_apps()
 → [{id: "app_abc", name: "VTV Live"}, ...]

AI → list_error_channels(appId: "app_abc")
 → [{channelId: "ch_1", name: "VTV HD", status: "error"}]

AI → restart_channel(appId: "app_abc", channelId: "ch_1")
 → {success: true}

Adding More Services

  1. Create src/services/sigma-<name>.service.ts

  2. Create src/tools/<name>/ with tool handlers

  3. Register in src/tools/tool-registry.ts

  4. Add service instance in src/main.ts

Publish To npm

  1. Use the published package name @sigmaott/cloud-mcp.

  2. Run npm login.

  3. Bump the version with npm version patch (or minor / major).

  4. Publish with npm publish.

Because prepack runs npm run build and files only includes dist plus README.md, the published tarball is ready for npx and excludes local workspace artifacts.

Docker Notes

  • This image keeps the MCP transport on stdio; it does not expose HTTP or SSE.

  • Use docker run -i so stdin/stdout remain attached to the MCP client.

  • Rebuild the image after changing source code or package dependencies.

F
license - not found
A
quality
D
maintenance

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

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If you are the server author, to access and configure the admin panel.

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