Borrowing it
Nothing to install: this file belongs to Arkava-AI/gamma-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Arkava-AI/gamma-mcp-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/Arkava-AI/gamma-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/arkava-ai/gamma-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/arkava-ai/gamma-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/arkava-ai/gamma-mcp-server/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/arkava-ai/gamma-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/arkava-ai/gamma-mcp-server/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00725 | $0.00725 |
| Opus 5.5 | $0.00290 | $0.00290 |
| Sonnet 5.5 | $0.00145 | $0.00145 |
| Haiku 4.5 | $0.00072 | $0.00072 |
Grade A, and why
gamma-mcp-server CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gamma MCP Server
Model Context Protocol server for Gamma.app. Exposes tools to create presentations, documents, webpages, and social posts via Gamma's API. Works with any MCP-compatible AI assistant (Claude Code, Claude Desktop, OpenCode, GitHub Copilot CLI, Gemini CLI).
Quick Start
npm install
npm run build
Set GAMMA_API_KEY environment variable to your Gamma API key (format: sk-gamma-xxxxxxxx), then configure your AI assistant to use the MCP server at dist/index.js.
Project Structure
src/
├── index.ts # Bootstrap: MCP server + stdio transport + tool registration
├── constants.ts # API base URL, timeouts, limits, error messages
├── types.ts # TypeScript interfaces for API requests/responses
├── schemas/index.ts # Zod validation schemas for all tool inputs
├── services/
│ ├── gamma-client.ts # HTTP client for Gamma API (axios)
│ └── formatters.ts # Output formatters (markdown / json)
└── tools/
├── generate.ts # gamma_generate, gamma_get_status, gamma_from_template
├── list.ts # gamma_list_themes, gamma_list_folders
├── share.ts # gamma_share_email
└── index.ts # Re-exports tool registration functions
Available Tools
| Tool | Description |
|---|---|
gamma_generate |
Create presentations, documents, webpages, social posts |
gamma_get_status |
Poll generation progress (with optional auto-poll) |
gamma_from_template |
Remix existing Gamma templates with variables |
gamma_list_themes |
Browse available visual themes |
gamma_list_folders |
List your Gamma folders |
gamma_share_email |
Share content via email |
gamma_health |
Liveness probe — verify API key and server reachability |
gamma_archive |
Archive a Gamma from the workspace |
Architecture Notes
GammaClient(gamma-client.ts) is the single API client — all tool implementations call through itcreateGammaClient()(gamma-client.ts line 248) is the factory — validates key presence and format, throws with helpful message if misconfigured- Polling is handled inside
GammaClient.waitForCompletion()— tools just setwaitForCompletion: trueto activate - Error handling is centralized in
GammaClient.handleError()— status codes mapped to user-safe messages (no raw API data leaked) - Output formatting is stateless —
formatGenerationOutput,formatThemesOutput,formatFoldersOutput,formatShareOutputin formatters.ts - All Zod schemas use
.strict()to reject unknown fields
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 65 lines · 725 tokens per session scan A 2ed4005816b3
gamma-mcp-server CLAUDE.md is an instructions file published in the GitHub repository Arkava-AI/gamma-mcp-server (0 stars, last pushed 1mo ago), licensed MIT. It adds 725 tokens to every session, about $0.0029 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
gamma-mcp-server CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gamma-mcp-server CLAUDE.mdArkava-AI/gamma-mcp-server | Instructions file | 0 | 1mo ago | MIT | A | 725 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |