How long does video rendering take?

The `create_avatar_video` command submits the job instantly. Rendering typically takes 2–10 minutes depending on length. Use `get_video_details` to check progress and retrieve the final URL.

Can I use my custom avatars?

Yes. The `list_avatars` tool returns both stock and custom avatars tied to your account. You can use any avatar ID when creating videos.

Which Synthesia plan is required?

API access requires a Creator or Enterprise plan. Free and Starter plans do not include API keys. Check the Integrations tab in your Synthesia dashboard to verify eligibility.

Synthesia MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Synthesia
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 Synthesia through the 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({
        "synthesia": {
            "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 Synthesia, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Synthesia through native MCP adapters. Connect 10 tools via the 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

Virtual Directing — Instantiate real-time video renderings using create_avatar_video, mapping structural inputs to specific avatar matrices found via list_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_details and prune discarded tracks strictly invoking delete_video.
Localization & Dubbing — Effortlessly pull native voice ranges (list_voices) and trigger AI localized dubbing routines targeting existing records utilizing dub_video.

The Synthesia 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 Synthesia to LangChain via MCP

Follow these steps to integrate the Synthesia 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 Synthesia via MCP

Why Use LangChain with the Synthesia MCP Server

LangChain provides unique advantages when paired with Synthesia through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Synthesia 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 Synthesia queries for multi-turn workflows

Synthesia + LangChain Use Cases

Practical scenarios where LangChain combined with the Synthesia MCP Server delivers measurable value.

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

Autonomous research agents: LangChain agents query Synthesia, synthesize findings, and generate comprehensive research reports

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

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

Synthesia MCP Tools for LangChain (10)

These 10 tools become available when you connect Synthesia to LangChain 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 LangChain

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

Common issues when connecting Synthesia to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Synthesia + LangChain FAQ

Common questions about integrating Synthesia 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.