Synthesia MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Synthesia as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Synthesia. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Synthesia?"
)
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 Synthesia MCP Server
Bring the full power of synthetic enterprise video generation directly into your conversational environment with the Synthesia MCP connector. By granting your LLM authorized operational access to the Synthesia API matrix, you transform your assistant into a virtual studio director. Programmatically retrieve active templates, inspect available voice models, spawn new avatar streams from zero, or dub existing media seamlessly without navigating away from your terminal interface.
LlamaIndex agents combine Synthesia tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- Virtual Directing — Instantiate real-time video renderings using
create_avatar_video, mapping structural inputs to specific avatar matrices found vialist_avatars. - Template Automation — Process repetitive layouts logically calling
create_video_from_template, assigning JSON payloads seamlessly over defined blueprints. - Studio Lifecycle Management — Query active rendering progress cleanly with
get_video_detailsand prune discarded tracks strictly invokingdelete_video. - Localization & Dubbing — Effortlessly pull native voice ranges (
list_voices) and trigger AI localized dubbing routines targeting existing records utilizingdub_video.
The Synthesia MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Synthesia to LlamaIndex via MCP
Follow these steps to integrate the Synthesia MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Synthesia
Why Use LlamaIndex with the Synthesia MCP Server
LlamaIndex provides unique advantages when paired with Synthesia through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Synthesia tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Synthesia tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Synthesia, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Synthesia tools were called, what data was returned, and how it influenced the final answer
Synthesia + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Synthesia MCP Server delivers measurable value.
Hybrid search: combine Synthesia real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Synthesia 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 Synthesia for fresh data
Analytical workflows: chain Synthesia queries with LlamaIndex's data connectors to build multi-source analytical reports
Synthesia MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Synthesia to LlamaIndex via MCP:
create_avatar_video
Returns a video ID. Creates an AI avatar video from a script
create_video_from_template
Returns a video ID. Creates a video using a pre-defined Synthesia template
delete_video
This action is irreversible. Permanently deletes a Synthesia video
dub_video
Dubs an existing video into another language
get_template_details
Retrieves details for a specific template
get_video_details
Retrieves status and details for a specific video
list_avatars
Lists all available AI avatars
list_templates
Lists available video templates
list_videos
Lists all videos in the account
list_voices
Lists available AI voices
Example Prompts for Synthesia in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Synthesia immediately.
"Give me a list of internal AI video templates, select one related to 'customer support', and execute a creation pass using proper test inputs."
"List the available AI avatars, focusing on professional corporate styles."
"Check the status of my recent video task 'vid-9920'."
Troubleshooting Synthesia MCP Server with LlamaIndex
Common issues when connecting Synthesia to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSynthesia + LlamaIndex FAQ
Common questions about integrating Synthesia 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?
Connect Synthesia with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Synthesia to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.