Can my agent create a talking avatar using a custom voice ID?

Yes. Use the 'create_talk' tool and specify the TTS provider (microsoft or amazon) and the exact voice ID. The agent will orchestrate the request to generate an avatar that speaks your script with that specific vocal identity.

How do I use a custom image as the source for my talking avatar?

First, use the 'upload_image' tool with a publicly accessible URL of your face image. The agent will upload it to D-ID and return a new internal URL which you can then pass as the 'source_url' in 'create_talk'.

Can I check my remaining D-ID credits through the agent?

Absolutely. Use the 'get_credits' tool. Your agent will pull your current balance and plan info directly from D-ID, helping you manage your video generation limits and quotas through natural conversation.

D-ID MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: D-ID
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect D-ID through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "d-id": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using D-ID, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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.

LangChain's ecosystem of 500+ components combines seamlessly with D-ID through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the D-ID MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from D-ID via MCP

Why Use LangChain with the D-ID MCP Server

LangChain provides unique advantages when paired with D-ID through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine D-ID MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across D-ID queries for multi-turn workflows

D-ID + LangChain Use Cases

Practical scenarios where LangChain combined with the D-ID MCP Server delivers measurable value.

RAG with live data: combine D-ID tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query D-ID, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain D-ID tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every D-ID tool call, measure latency, and optimize your agent's performance

D-ID MCP Tools for LangChain (10)

These 10 tools become available when you connect D-ID to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting D-ID to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

D-ID + LangChain FAQ

Common questions about integrating D-ID MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.