This document guides you through setting up and running the Gamma MCP (Model Context Protocol) server, which allows you to generate presentations
Gamma Mcpserver MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. This document guides you through setting up and running the Gamma MCP (Model Context Protocol) server, which allows you to generate presentations using the Gamma API directly from MCP clients like Anthropic's Claude for Desktop.
Once Gamma Mcpserver is connected, these are the calls the assistant has available:
Resources — File-like data that can be read by clients (like API responses or file contents)Tools — Functions that can be called by the LLM (with user approval)Prompts — Pre-written templates that help users accomplish specific tasksinputText — The main topic or prompttone — Optional, e.g., 'humorous and sarcastic'audience — Optional, e.g., 'students'textAmount — Optional, 'short', 'medium', or 'long'textMode — Optional, 'generate' or 'summarize'numCards — Optional, number of slides (1-20)macOS — ** ~/Library/Application Support/Claude/claude_desktop_config.jsonWindows — ** %APPDATA%\Claude\claude_desktop_config.json (e.g., C:\Users<YourUser>\AppData\Roaming\Claude\claude_desktop_config.json)Linux — ** ~/.config/Claude/claude_desktop_config.jsonts-node on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
You will need 2 environment variables: GAMMA_API_KEY, GAMMA_API_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Gamma Mcpserver's toolset — Resources, Tools, Prompts and 10 more — is a fair guide to whether it matches your workflow. It is maintained by nickloveinvesting; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Resources | File-like data that can be read by clients (like API responses or file contents). |
| Tools | Functions that can be called by the LLM (with user approval). |
| Prompts | Pre-written templates that help users accomplish specific tasks. |
| inputText | The main topic or prompt. |
| tone | Optional, e.g., 'humorous and sarcastic'. |
| audience | Optional, e.g., 'students'. |
| textAmount | Optional, 'short', 'medium', or 'long'. |
| textMode | Optional, 'generate' or 'summarize'. |
| numCards | Optional, number of slides (1-20). |
| macOS | ** ~/Library/Application Support/Claude/claude_desktop_config.json |
| Windows | ** %APPDATA%\Claude\claude_desktop_config.json (e.g., C:\Users\<YourUser>\AppData\Roaming\Claude\claude_desktop_config.json) |
| Linux | ** ~/.config/Claude/claude_desktop_config.json |
| Double | check the absolute paths in claude_desktop_config.json for cwd and potentially command. |
{
"mcpServers": {
"gamma-presentation-generator": {
"command": "npx", // Or absolute path to npx, or node
"args": [
"ts-node", // If command is 'npx'
// If command is absolute path to node:
// "/PATH/TO/gamma-mcp-server/node_modules/ts-node/dist/bin.js",
"src/index.ts"
],
"cwd": "/ABSOLUTE/PATH/TO/YOUR/gamma-mcp-server" // Current Working Directory for the server
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| GAMMA_API_KEY | Credential the server authenticates with. | Yes |
| GAMMA_API_URL | Endpoint or connection string the server talks to. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.