How to Use the Dopplio MCP in LlamaIndex

Q: Can I search Dopplio videos with LlamaIndex?

Absolutely. Once you index the output of listvideos, your agent can answer questions about your previous creative assets.

Q: How do I filter tools in LlamaIndex with Dopplio?

You can use the allowedtools filter when setting up your McpToolSpec. This restricts the agent to only the functions you choose.

Q: What happens if a Dopplio render fails?

Your agent can query getrenderstatus to identify errors. It then updates your index so you know exactly which items require attention.

Index your Dopplio video data into LlamaIndex to build RAG apps that recall past renders and templates.

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Connect Dopplio MCP to LlamaIndex

Create your Vinkius account to connect Dopplio 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 Dopplio with LlamaIndex

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Ground AI in video metadata

The `list_videos` tool pulls data into your vector store. Your agent no longer guesses, it searches your actual render history. This creates a queryable index of your media. You get answers grounded in real API data rather than generic predictions.

Query render history semantically

By indexing the results from `get_video_details`, you enable semantic search over your past work. Ask your agent about successful campaigns and get precise results. This turns your video library into a knowledge base. You can retrieve specific templates or status updates using natural language queries.

Automate content generation

Combine `capture_screenshot` with your existing data to build personalized PDFs. The `render_pdf` tool provides the final document based on your indexed context. Your agent pulls from both the live API and your vector index. This ensures the generated files match the current state of your outreach.

Setup guide

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

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Common questions about Dopplio MCP in LlamaIndex

It fetches video lists and details via MCP tools, then converts that data into vector embeddings. This allows your agent to perform semantic search on your render history.

Absolutely. Once you index the output of `list_videos`, your agent can answer questions about your previous creative assets.

You can use the allowed_tools filter when setting up your McpToolSpec. This restricts the agent to only the functions you choose.

The connection is encrypted and scoped to your API key. Your video records are only accessible to the agents you authorize.

Your agent can query `get_render_status` to identify errors. It then updates your index so you know exactly which items require attention.

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