Compatible with every major AI agent and IDE
What is the Gamma (AI Presentations) MCP Server?
Connect Gamma to your AI agent to transform prompts into beautiful presentations, documents, or webpages instantly. Streamline your creative workflow by generating and managing content through natural language.
What you can do
- AI Creation — Use
create_gammato generate presentations, documents, or webpages from a simple prompt or a detailed outline. - Content Management — Retrieve specific details of any creation with
get_gammaor list your entire library usinglist_gammas. - Dynamic Updates — Modify titles and content of existing Gammas on the fly with
update_gammato keep your information current. - Workspace Cleanup — Permanently remove outdated or unnecessary content using
delete_gamma.
How it works
- Subscribe to this server
- Enter your Gamma API Key
- Start generating professional presentations and documents from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Sales & Marketing — Quickly generate pitch decks and landing pages from campaign briefs.
- Educators & Trainers — Turn lesson outlines into structured presentations in seconds.
- Product Managers — Create product documentation and internal wikis directly from project notes.
Built-in capabilities (5)
Create a new Gamma (presentation, document, or webpage)
Delete a Gamma
Get details of a specific Gamma
List all Gammas
Update an existing Gamma
Why LlamaIndex?
LlamaIndex agents combine Gamma (AI Presentations) tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Gamma (AI Presentations) tool responses with indexed documents for comprehensive, grounded answers
- —
Query pipeline framework lets you chain Gamma (AI Presentations) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Gamma (AI Presentations), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Gamma (AI Presentations) tools were called, what data was returned, and how it influenced the final answer
Gamma (AI Presentations) in LlamaIndex
Gamma (AI Presentations) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Gamma (AI Presentations) to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Gamma (AI Presentations) in LlamaIndex
The Gamma (AI Presentations) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 5 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Gamma (AI Presentations) for LlamaIndex
Every tool call from LlamaIndex to the Gamma (AI Presentations) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
What types of content can I create with this server?
You can create three types of content using the create_gamma tool: 'presentation', 'document', or 'webpage'. Simply specify the type and provide a prompt or outline.
How can I see a list of all my existing Gamma creations?
Use the list_gammas tool. You can also provide an optional 'limit' to control the number of results returned.
Is it possible to edit the title of a Gamma after it has been generated?
Yes! Use the update_gamma tool with the specific Gamma ID and provide a new 'title'. You can also update the 'content' using the same tool.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Gamma (AI Presentations) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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