How to Use the Gamma (AI Presentations) MCP in LlamaIndex

Q: Can LlamaIndex search my Gamma (AI Presentations) workspace?

Yes. The agent uses listgammas to find files and getgamma to read them. You can then embed that text into your RAG index.

Q: Can I limit which tools the query engine uses?

Yes. Pass an allowedtools array to the agent constructor. You can restrict it to read-only operations if you want to prevent accidental edits.

Turn your Gamma workspace into a semantic RAG index with LlamaIndex and this MCP Server.

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Connect Gamma (AI Presentations) MCP to LlamaIndex

Create your Vinkius account to connect Gamma (AI Presentations) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Gamma (AI Presentations) with LlamaIndex

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Claude

Perplexity

Knowledge-Grounded Generation

This MCP Server turns your RAG query engine into a document and slide generator. You feed retrieved vector data straight into `create_gamma` to build files based on your internal knowledge base. There is no need to copy-paste answers into a template. The agent handles the final mile of formatting automatically without leaving the query loop.

Indexing the LlamaIndex MCP Server

Your past presentations contain massive amounts of company context. By running `list_gammas`, your basic client pulls your entire workspace history into view. You then execute `get_gamma` on specific files to ingest their content into your vector store. Agents can now answer questions grounded in the actual slides your team built last quarter.

Semantic Edits and Versioning

Sometimes you just need to patch an existing webpage or document. Instead of rewriting everything, your agent retrieves the specific chunk of text and fires `update_gamma` to replace it. If an old deck becomes irrelevant to your current context, the agent removes it. Running `delete_gamma` ensures your vector search results never pull from deprecated company presentations.

Setup guide

Set up Gamma (AI Presentations) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Gamma (AI Presentations) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Gamma (AI Presentations) tools.",
)
response = await agent.run("List recent Gamma (AI Presentations) data")

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Common questions about Gamma (AI Presentations) MCP in LlamaIndex

Install llama-index-tools-mcp. Initialize the BasicMCPClient and pass it to McpToolSpec to convert the endpoints into callable functions.

Yes. The agent uses `list_gammas` to find files and `get_gamma` to read them. You can then embed that text into your RAG index.

You pipe your query engine results directly into the creation tool. The server converts your raw text into formatted slides or webpages.

Yes. Pass an allowed_tools array to the agent constructor. You can restrict it to read-only operations if you want to prevent accidental edits.

Presentation payloads and document text route through a zero-trust architecture. Vinkius manages the authentication handshakes ephemerally, meaning no persistent access remains after your session closes.

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