Bring Ai Video Generation
to LangChain
Learn how to connect Synthesia to LangChain and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Synthesia MCP Server?
Connect your Synthesia AI video account to any AI agent and simplify how you create professional avatar-led videos, manage video templates, and monitor production status through natural conversation.
What you can do
- AI Video Generation — Create high-quality videos by providing a script and selecting an avatar programmatically via AI.
- Template Automation — Generate videos by filling dynamic variables in pre-defined Synthesia Studio templates.
- Avatar Directory — List available stock avatars and retrieve detailed metadata to choose the right persona for your content.
- Production Monitoring — Check real-time processing status and retrieve final video links directly from the agent.
- History Oversight — List and query all previously generated videos and manage your production library.
- Workflow Webhooks — Manage notification endpoints to receive real-time updates when your videos are finished.
How it works
1. Subscribe to this server
2. Enter your Synthesia API Key (found in your account settings under API)
3. Start generating professional AI videos from Claude, Cursor, or any MCP client
Who is this for?
- Content Creators & Marketers — quickly generate personalized videos for social media or internal training via simple AI commands.
- Learning & Development Teams — automate the creation of instructional videos using pre-defined templates.
- Ops & Product Teams — monitor production status and manage video assets directly from the workspace via the AI assistant.
Built-in capabilities (10)
Create a new AI avatar video
Generate video using a Synthesia template
completed or video.failed. Create a new notification webhook
Permanently delete a video
Remove an existing webhook
Get details and status for a video
List available AI avatars
List your video templates
List your generated videos
List configured webhooks
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Synthesia 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.
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The largest ecosystem of integrations, chains, and agents. combine Synthesia MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Synthesia queries for multi-turn workflows
Synthesia in LangChain
Synthesia and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Synthesia to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Synthesia in LangChain
The Synthesia 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Synthesia for LangChain
Every tool call from LangChain to the Synthesia MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see all available AI avatars via AI?
Yes! Use the list_avatars tool. Your agent will retrieve the complete directory of stock avatars available in Synthesia for your videos.
How do I check the status of a video being processed?
Run the get_video_details query with your Video ID. The agent will retrieve the real-time status (e.g., in_progress, completed) and the final download link if ready.
Is it possible to generate a video using a custom template?
Absolutely. Use the create_video_from_template tool. Provide the Template ID and a JSON object with the data for your dynamic variables to trigger the generation.
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.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters