How to Use the Kapwing MCP in LlamaIndex

Q: How do I connect LlamaIndex to the Kapwing MCP server?

Install llama-index-tools-mcp and configure a BasicMCPClient. Pass the client to McpToolSpec and load the tools into your FunctionAgent.

Q: Can LlamaIndex search through my past Kapwing videos?

Yes. The agent calls the listrenders tool, retrieves your account's media history, and indexes the metadata for semantic querying.

Index and query your Kapwing video generation data with LlamaIndex.

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Connect Kapwing MCP to LlamaIndex

Create your Vinkius account to connect Kapwing 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 Kapwing with LlamaIndex

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Index your Kapwing render history

The `list_renders` tool returns a complete list of all video and image renders associated with your account. LlamaIndex pulls this raw API data and embeds it directly into your vector store. Now your historical video metadata is searchable. You query your agent to find a video created last month with specific text layers, and it retrieves the exact asset URL without hallucinating.

Generate media from an MCP Server query

The `create_render` tool initiates the rendering process by accepting a JSON definition of width, height, and layers. Your LlamaIndex agent analyzes documents in your knowledge base to construct this payload automatically. If you have a PDF of marketing copy, the agent extracts the key quotes, formats them as text layers, and fires the job. The resulting video URL then gets indexed right back into your semantic search pipeline.

Ground answers in live render status

The `get_render_status` tool retrieves the progress percentage and final download URL for a specific render ID. LlamaIndex agents call this to answer user questions about pending jobs with real-time accuracy. Instead of guessing when a video will finish, the agent checks the API. Once complete, it adds the final download URL to the document index so future queries instantly resolve to the finished file.

Setup guide

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

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Common questions about Kapwing MCP in LlamaIndex

Install `llama-index-tools-mcp` and configure a `BasicMCPClient`. Pass the client to `McpToolSpec` and load the tools into your FunctionAgent.

Yes. The agent calls the `list_renders` tool, retrieves your account's media history, and indexes the metadata for semantic querying.

The agent reads your indexed documents to determine the required width, height, and layers, then structures the JSON payload for the tool call.

No. You ask your LlamaIndex agent for an update, and it executes `get_render_status` through the MCP Server to fetch the exact progress percentage or download URL.

The MCP Server handles your raw video URLs and text layer contents. Vinkius routes these requests through a zero-trust, stateless architecture where no payloads persist on disk.

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