HeyGen MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HeyGen as an MCP tool provider through 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 HeyGen. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in HeyGen?"
)
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 HeyGen MCP Server
Connect your HeyGen account to any AI agent and take full control of your AI-powered video production and avatar management through natural conversation.
LlamaIndex agents combine HeyGen tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through 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
- Avatar Oversight — List all available avatars, including public, instant, and custom photo avatars.
- Video Generation — Trigger studio-quality video generation tasks by providing scenes and avatar configurations.
- Template Automation — Create personalized videos at scale by replacing variables in pre-designed templates.
- Status Tracking — Monitor the progress of your video generation tasks and retrieve final URLs when ready.
- Video Translation — Automatically translate existing videos into multiple languages with seamless lip-syncing.
- History & Analytics — Browse your history of generated videos and interactive streaming sessions.
The HeyGen MCP Server exposes 11 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 HeyGen to LlamaIndex via MCP
Follow these steps to integrate the HeyGen 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 11 tools from HeyGen
Why Use LlamaIndex with the HeyGen MCP Server
LlamaIndex provides unique advantages when paired with HeyGen through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine HeyGen tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain HeyGen tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query HeyGen, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what HeyGen tools were called, what data was returned, and how it influenced the final answer
HeyGen + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the HeyGen MCP Server delivers measurable value.
Hybrid search: combine HeyGen real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query HeyGen 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 HeyGen for fresh data
Analytical workflows: chain HeyGen queries with LlamaIndex's data connectors to build multi-source analytical reports
HeyGen MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect HeyGen to LlamaIndex via MCP:
generate_from_template
Pass the variable mapping as a JSON string in "variables_json". Create a video by replacing variables in a template
generate_video
Pass the scenes and avatar configuration as a JSON string in "body_json" (e.g., {"video_inputs": [...]}). Manually trigger studio video generation
get_api_profile
Get information about the current API account
get_template_details
Get structure and variable definitions for a specific template
get_video_status
Returns "completed" with a "video_url" when ready. Check the status and retrieve the URL of a generated video
list_avatar_groups
List categorized groups of avatars
list_avatars
Use this to find the "avatar_id" for video generation. List all available HeyGen avatars
list_streaming_history
List history of interactive streaming sessions
list_templates
List all video templates
list_videos
List history of generated videos
translate_video
Pass the configuration as a JSON string in "body_json". Translate an existing video into another language with lip-sync
Example Prompts for HeyGen in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with HeyGen immediately.
"List all available avatars and find one named 'Joshua'."
"Show me the status of video ID 'vid_99283'."
"Generate a video from template 'welcome_v1' with variable {'name': 'John Doe'}."
Troubleshooting HeyGen MCP Server with LlamaIndex
Common issues when connecting HeyGen to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHeyGen + LlamaIndex FAQ
Common questions about integrating HeyGen 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 HeyGen 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 HeyGen to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.