D-ID 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 D-ID as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 D-ID. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in D-ID?"
)
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 D-ID MCP Server
Connect your D-ID account to any AI agent and take full control of your AI video generation and digital human workflows through natural conversation.
LlamaIndex agents combine D-ID tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Talking Avatar Generation — Create high-quality videos where an AI avatar speaks your text with precise lip-sync and natural expressions using Microsoft or Amazon TTS
- Audio-to-Video Sync — Provision talking avatars from pre-recorded audio files, allowing the agent to generate videos that match your literal audio boundaries
- Digital Presenters — List and retrieve available D-ID stock presenters including pre-built digital humans and background options for fast video production
- Media Uploads — Upload face images to D-ID servers to use them as custom avatar sources for your personalized video content
- Run Monitoring — Track the status of your talks and clips (created, started, done, error) and retrieve final result URLs when processing is complete
- Credit Auditing — Get your current D-ID credit balance and plan info to verify remaining limits and manage video generation quotas
The D-ID 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 D-ID to LlamaIndex via MCP
Follow these steps to integrate the D-ID 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 D-ID
Why Use LlamaIndex with the D-ID MCP Server
LlamaIndex provides unique advantages when paired with D-ID through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine D-ID tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain D-ID tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query D-ID, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what D-ID tools were called, what data was returned, and how it influenced the final answer
D-ID + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the D-ID MCP Server delivers measurable value.
Hybrid search: combine D-ID real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query D-ID 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 D-ID for fresh data
Analytical workflows: chain D-ID queries with LlamaIndex's data connectors to build multi-source analytical reports
D-ID MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect D-ID to LlamaIndex via MCP:
create_clip
Create a D-ID clip using a stock presenter (no image needed). Pre-built digital humans with backgrounds
create_talk
Create a talking avatar video using D-ID. An AI avatar speaks your text with lip-sync and natural expressions
create_talk_audio
Create a D-ID talking avatar from a pre-recorded audio file. Avatar lip-syncs to your audio
delete_talk
Delete a D-ID talk
get_clip
Get status of a D-ID clip. Returns status and result URL
get_credits
Get current D-ID credit balance and plan info
get_talk
Wait for creation to finish. Get status of a D-ID talk. Returns status (created/started/done/error), result_url when done
list_presenters
List available D-ID presenters. Returns presenter IDs, names, and preview images
list_talks
List all D-ID talks. Returns talk IDs, statuses, and creation timestamps
upload_image
Upload a face image to D-ID for use as avatar source. Returns image URL
Example Prompts for D-ID in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with D-ID immediately.
"Create a talking avatar video with script: 'Welcome to our new platform!'"
"List all available D-ID presenters"
"How many credits do I have left in D-ID?"
Troubleshooting D-ID MCP Server with LlamaIndex
Common issues when connecting D-ID to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpD-ID + LlamaIndex FAQ
Common questions about integrating D-ID 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 D-ID 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 D-ID to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.