How to Use the DeepAI MCP in LlamaIndex

Index your generated visual assets into LlamaIndex knowledge bases.

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Connect DeepAI MCP to LlamaIndex

Create your Vinkius account to connect DeepAI 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 DeepAI with LlamaIndex

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LlamaIndex RAG with visual metadata

Use `edit_image` to generate variations and store them in your LlamaIndex vector store. Your agent then queries these results for future tasks. This setup grounds your agent in actual visual data. It retrieves past edits instead of guessing how to modify a file.

Upscale assets for LlamaIndex indexing

Run `super_resolution` on your assets before adding them to your index. High-fidelity images lead to better retrieval accuracy for your RAG applications. Your agent automatically sharpens low-quality uploads. This ensures the data in your knowledge base remains consistent and usable.

Automate image generation for LlamaIndex

Trigger `generate_image` to create new context for your search queries. The results become part of the searchable knowledge base immediately. You avoid hallucinations by using real generated images as your source of truth. The agent builds a library of assets it can reference later.

Setup guide

Set up DeepAI 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 DeepAI 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 DeepAI tools.",
)
response = await agent.run("List recent DeepAI data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DeepAI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DeepAI MCP in LlamaIndex

Yes, it allows you to generate images and index them directly. This adds a visual component to your knowledge base.

You store the output of the tools in your index. Your query engine then searches these entries based on your metadata and descriptions.

You use the tools to create assets that serve as documents. These act as grounded data points for your agent to verify.

Your images exist only within the Vinkius session. We purge all buffers immediately after the tool completes its operation.

Access is restricted by an endpoint token specific to your Vinkius account. We use zero-trust protocols to keep your connection private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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