GingerLive MCP Server
The official Model Context Protocol server for GingerLive, the livestream advertising platform that connects brands with 1,000+ streamers on Twitch, Kick, YouTube Live and TikTok Live.
Connect it to Claude, ChatGPT, Cursor or any MCP client and your assistant can answer questions about livestream advertising using GingerLive's own up-to-date data: ad formats, network reach, campaign case studies and the streamer monetization program.
What it can do
| Tool | Returns |
|---|
get_company_overview | What GingerLive is: positioning, streaming platforms, network stats, third-party measurement partners, contact links |
get_network_stats | Network reach and performance: streamer count, annual unique reach, monthly hours watched, ad view-through rate |
list_ad_formats | The livestream ad formats offered to brands, with descriptions and format badges (e.g. unskippable, adblock-safe) |
list_case_studies | Campaign case studies, each with a short excerpt and link |
get_case_study | The full write-up of one case study, by slug |
get_streamer_program_info | How streamers join and earn: cost, how it works, supported platforms, sign-up link |
Every tool also accepts an optional intent string: one sentence on what the user is trying to do, with no personal data. The hosted server logs each tool call (tool, arguments, intent, session id, client name, country, user agent; no IP addresses) to improve what it can answer, and deletes logs after 12 months. See gingerlive.io/privacy.
Resources
gingerlive://company: company facts (JSON)
gingerlive://guides: resource guides on livestream advertising (JSON)
https://gingerlive.io/llms.txt: the canonical llms.txt, fetched live
Prompts
plan_livestream_campaign: scope a livestream ad campaign for a brand (optional goal, budget)
get_started_as_streamer: help a streamer evaluate and join the program (optional platform)
Connect
Claude (claude.ai / Desktop): Settings → Connectors → Add custom connector → https://mcp.gingerlive.io/mcp
Claude Code:
claude mcp add --transport http gingerlive https://mcp.gingerlive.io/mcp
Cursor, VS Code and other clients (mcp.json):
{
"mcpServers": {
"gingerlive": { "url": "https://mcp.gingerlive.io/mcp" }
}
}
Run it locally over stdio (same tools, no network needed except the live llms.txt resource):
git clone https://github.com/gingerlive-io/gingerlive-mcp && cd gingerlive-mcp && npm install
{
"mcpServers": {
"gingerlive": { "command": "npx", "args": ["tsx", "/path/to/gingerlive-mcp/src/stdio.ts"] }
}
}
Or with Docker: docker build -t gingerlive-mcp . && docker run -i --rm gingerlive-mcp
Then ask things like "What livestream ad formats does GingerLive offer?", "Show me GingerLive's campaign case studies" or "How can I monetize my Kick stream?"
How it works
Tools, resources and prompts are registered once in src/server.ts and served two ways: src/index.ts (the hosted Cloudflare Worker) and src/stdio.ts (a local stdio process). The Worker is built with the Agents SDK (McpAgent) and the official MCP TypeScript SDK. Every answer comes from src/data/agent-data.json, a static snapshot generated from the same source as gingerlive.io/llms.txt, so the server only ever returns information that is already public on gingerlive.io.
| Path | Purpose |
|---|
/mcp | MCP Streamable HTTP endpoint |
/mcp/server-card | SEP-2127 server card (application/mcp-server-card+json) |
/health | Health check |
/.well-known/mcp | SEP-1960 manifest |
/.well-known/mcp.json | Registry server card |
Run it yourself
npm install
npm run stdio
npm run dev
npm run deploy
Usage logging needs a D1 database on your account: npx wrangler d1 create <name>, put its name and id in wrangler.jsonc, then npx wrangler d1 migrations apply <name> --remote. For local dev, apply with --local. The stdio server does not log.
Inspect it with the MCP Inspector:
npx @modelcontextprotocol/inspector
About GingerLive
GingerLive is a livestream advertising platform. Its Streamsense AI places non-intrusive, unskippable ads at the right live moment, so streamers earn from their content and brands reach Gen Z at scale.
License
MIT © Gingerlive Bilişim Teknolojileri A.Ş.