How to Use the Fliki (AI Text-to-Video & Speech API) MCP in LlamaIndex

Q: Can I index my generated video metadata with LlamaIndex?

Yes. After calling getvideo to retrieve the final URL, you can index the metadata and script source back into your vector store. This keeps a searchable record of all created assets.

Q: How do I search for voices using Fliki (AI Text-to-Video & Speech API) in LlamaIndex?

You run listvoices to retrieve the list, then use LlamaIndex to create an in-memory index of the voice metadata. This allows your agent to query voices semantically.

Index your video metadata and generate assets directly from your LlamaIndex knowledge graphs.

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Connect Fliki (AI Text-to-Video & Speech API) MCP to LlamaIndex

Create your Vinkius account to connect Fliki (AI Text-to-Video & Speech API) 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 Fliki (AI Text-to-Video & Speech API) with LlamaIndex

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Generate videos from indexed knowledge sources

The `generate_video` tool allows your agent to create video assets from scripts synthesized from your indexed documents. LlamaIndex queries your vector database, drafts a script, and feeds it directly to this tool. This setup lets you turn complex PDFs, help center articles, or internal wikis into short video summaries. You bypass manual script-writing entirely by relying on your indexed data.

Map and query available voices inside LlamaIndex

The `list_voices` tool pulls the complete catalog of AI voices available for your video generation runs. LlamaIndex can index this list of voices, making it searchable by semantic query. Instead of hardcoding voice IDs, your agent can search your voice index for specific tones or styles to find the closest match. The selected voice is then passed to the generator.

Monitor render states via this MCP Server

The `get_video` tool lets your agent check the progress of active rendering jobs. LlamaIndex can store these job IDs in a queryable state index to track multiple renders at once. Once the render is complete, the download link is retrieved. Your agent can then download the video or feed the URL into another indexing pipeline for further analysis.

Setup guide

Set up Fliki (AI Text-to-Video & Speech API) 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 Fliki (AI Text-to-Video & Speech API) 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 Fliki (AI Text-to-Video & Speech API) tools.",
)
response = await agent.run("List recent Fliki (AI Text-to-Video & Speech API) 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 Fliki. 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 Fliki (AI Text-to-Video & Speech API) MCP in LlamaIndex

Yes. After calling `get_video` to retrieve the final URL, you can index the metadata and script source back into your vector store. This keeps a searchable record of all created assets.

You register the MCP Server tools as functional tools in LlamaIndex. The agent can then choose to run `generate_video` or `list_voices` based on the user's query.

You run `list_voices` to retrieve the list, then use LlamaIndex to create an in-memory index of the voice metadata. This allows your agent to query voices semantically.

Yes. Your LlamaIndex agent can loop through multiple document nodes, generate scripts for each, and trigger `generate_video` calls in parallel or sequence.

Absolutely. Your script payloads and API credentials are kept entirely within your local environment and this MCP Server sandbox. Vinkius does not store or intercept your video rendering data.

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