Gamma (AI Presentations) MCP Server for LlamaIndexGive LlamaIndex instant access to 5 tools to Create Gamma, Delete Gamma, Get Gamma, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gamma (AI Presentations) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Gamma (AI Presentations) MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Gamma (AI Presentations). "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in Gamma (AI Presentations)?"
)
print(response)
asyncio.run(main())
* 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
About 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.
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.
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.
The Gamma (AI Presentations) MCP Server exposes 5 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 5 Gamma (AI Presentations) tools available for LlamaIndex
When LlamaIndex connects to Gamma (AI Presentations) through Vinkius, your AI agent gets direct access to every tool listed below — spanning presentation-design, content-generation, generative-ai, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create gamma on Gamma (AI Presentations)
Create a new Gamma (presentation, document, or webpage)
Delete gamma on Gamma (AI Presentations)
Delete a Gamma
Get gamma on Gamma (AI Presentations)
Get details of a specific Gamma
List gammas on Gamma (AI Presentations)
List all Gammas
Update gamma on Gamma (AI Presentations)
Update an existing Gamma
Connect Gamma (AI Presentations) to LlamaIndex via MCP
Follow these steps to wire Gamma (AI Presentations) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Gamma (AI Presentations) MCP Server
LlamaIndex provides unique advantages when paired with Gamma (AI Presentations) through the Model Context Protocol.
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
Multi-source reasoning: agents can query Gamma (AI Presentations), a vector store, and a SQL database in a single turn and synthesize results
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) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gamma (AI Presentations) MCP Server delivers measurable value.
Hybrid search: combine Gamma (AI Presentations) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gamma (AI Presentations) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Gamma (AI Presentations) for fresh data
Analytical workflows: chain Gamma (AI Presentations) queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Gamma (AI Presentations) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Gamma (AI Presentations) immediately.
"Create a presentation about the future of renewable energy with a professional theme."
"List my 5 most recent Gammas."
"Get the content and status for Gamma ID gam_12345."
Troubleshooting Gamma (AI Presentations) MCP Server with LlamaIndex
Common issues when connecting Gamma (AI Presentations) to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGamma (AI Presentations) + LlamaIndex FAQ
Common questions about integrating Gamma (AI Presentations) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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