How do I use Gamma MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Gamma MCP Server create a presentation about sustainable development for teachers" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Gamma MCP Server

Model Context Protocol (MCP) server för Gamma.app - gör det möjligt för AI-assistenter att generera presentationer via Gamma API.

Features

✅ 3 MCP Tools:
- gamma_generate - Skapa presentation/dokument
- gamma_get_generation - Hämta status på generation
- gamma_list_generations - Lista tidigare generationer
✅ Två lägen:
- stdio - För Claude Desktop (lokal användning)
- HTTP - För AI Engine & webbapplikationer (24/7 deployment)
✅ Full Gamma API support:
- Presentations, Documents, Webpages
- Custom themes, tones, audiences
- Swedish language default
- Image generation

Installation

1. Klona/Kopiera projektet

cd ~/gamma-mcp-server

2. Installera dependencies

npm install

3. Konfigurera API key

Uppdatera .env filen med din Gamma API key:

GAMMA_API_KEY=sk-gamma-your-key-here

4. Bygg projektet

npm run build

Användning

Lokal testning (stdio mode)

För att testa med Claude Desktop eller lokalt:

npm start

Lägg till i Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "gamma": {
      "command": "node",
      "args": ["/absolut/sökväg/till/gamma-mcp-server/dist/index.js"]
    }
  }
}

HTTP Server (för AI Engine)

Starta HTTP-servern:

npm run start:streamable

Servern körs på http://localhost:3000/mcp

Deployment till allgot.se

Metod 1: PM2 (Process Manager)

# Installera PM2
npm install -g pm2

# Starta servern
pm2 start dist/streamable-http-server.js --name gamma-mcp

# Auto-restart vid server reboot
pm2 startup
pm2 save

Metod 2: Systemd Service

Skapa /etc/systemd/system/gamma-mcp.service:

[Unit]
Description=Gamma MCP Server
After=network.target

[Service]
Type=simple
User=www-data
WorkingDirectory=/home/u210698164/gamma-mcp-server
Environment=NODE_ENV=production
ExecStart=/usr/bin/node dist/streamable-http-server.js
Restart=always

[Install]
WantedBy=multi-user.target

Aktivera:

sudo systemctl enable gamma-mcp
sudo systemctl start gamma-mcp

Nginx Reverse Proxy

Lägg till i nginx config:

location /gamma-mcp {
    proxy_pass http://localhost:3000/mcp;
    proxy_http_version 1.1;
    proxy_set_header Upgrade $http_upgrade;
    proxy_set_header Connection 'upgrade';
    proxy_set_header Host $host;
    proxy_cache_bypass $http_upgrade;

    # För SSE streaming
    proxy_buffering off;
    proxy_read_timeout 600s;
}

Integration med AI Engine

1. Via Code Engine Pro

Skapa ett PHP snippet i Code Engine (typ: function):

function gamma_create_presentation($params) {
    $mcp_url = 'https://allgot.se/gamma-mcp';

    $request = [
        'jsonrpc' => '2.0',
        'id' => 1,
        'method' => 'tools/call',
        'params' => [
            'name' => 'gamma_generate',
            'arguments' => $params
        ]
    ];

    $response = wp_remote_post($mcp_url, [
        'headers' => [
            'Content-Type' => 'application/json',
            'Accept' => 'application/json, text/event-stream'
        ],
        'body' => json_encode($request),
        'timeout' => 60
    ]);

    return json_decode(wp_remote_retrieve_body($response), true);
}

2. Direkt i AI Engine

Om AI Engine stödjer externa MCP servers kan du konfigurera:

Endpoint: https://allgot.se/gamma-mcp
Metod: POST
Headers: Accept: application/json, text/event-stream

API Examples

Skapa presentation

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "gamma_generate",
    "arguments": {
      "inputText": "Hållbar utveckling i skolan",
      "format": "presentation",
      "numCards": 12,
      "textTone": "educational",
      "textAudience": "teachers",
      "textLanguage": "Swedish"
    }
  }
}

Hämta status

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "gamma_get_generation",
    "arguments": {
      "generationId": "gen_abc123"
    }
  }
}

Environment Variables

Variable	Beskrivning	Default
`GAMMA_API_KEY`	Din Gamma API key (REQUIRED)	-
`GAMMA_API_BASE_URL`	Gamma API bas-URL	`https://public-api.gamma.app/v1.0`
`PORT`	HTTP server port	`3000`
`HOST`	HTTP server host	`0.0.0.0`
`NODE_ENV`	Environment mode	`development`

Security

⚠️ Lägg ALDRIG till
✅ Använd HTTPS i produktion
✅ Begränsa access till MCP endpoint (firewall/auth)
✅ Håll Gamma API key säker

Troubleshooting

Server startar inte

# Kolla om port 3000 redan används
lsof -i :3000

# Prova annan port
PORT=3001 npm run start:streamable

Gamma API errors

# Testa API key manuellt
curl -X POST https://public-api.gamma.app/v1.0/generate \
  -H "X-API-KEY: your-key-here" \
  -H "Content-Type: application/json" \
  -d '{"input_text":"Test","format":"presentation"}'

MCP connection issues

Kontrollera att Accept: application/json, text/event-stream header finns
Kolla server logs: pm2 logs gamma-mcp eller journalctl -u gamma-mcp -f
Verifiera att nginx reverse proxy är korrekt konfigurerad

Support

För frågor eller problem, kontakta: isak@allgot.se

License

MIT License - Allgot.se

Gamma MCP Server

Gamma MCP Server

Features

Installation

1. Klona/Kopiera projektet

2. Installera dependencies

3. Konfigurera API key

4. Bygg projektet

Användning

Lokal testning (stdio mode)

HTTP Server (för AI Engine)

Deployment till allgot.se

Metod 1: PM2 (Process Manager)

Metod 2: Systemd Service

Nginx Reverse Proxy

Integration med AI Engine

1. Via Code Engine Pro

2. Direkt i AI Engine

API Examples

Skapa presentation

Hämta status

Environment Variables

Security

Troubleshooting

Server startar inte

Gamma API errors

MCP connection issues

Support

License

Resources

Latest Blog Posts

MCP directory API