Resemble AI MCP Server for LangChainGive LangChain instant access to 16 tools to Add Watermark, Create Clip, Create Project, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Resemble AI through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Resemble AI MCP Server for LangChain is a standout in the Image Video category — giving your AI agent 16 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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({
"resemble-ai": {
"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 Resemble AI, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Resemble AI MCP Server
Connect your Resemble AI account to any AI agent to generate, manage, and protect high-fidelity synthetic speech through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Resemble AI through native MCP adapters. Connect 16 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
- Voice Synthesis — Create high-quality audio clips from text using custom or system voices with full SSML support.
- Speech-to-Speech — Transform source audio into a target voice while preserving the original emotion, intonation, and timing.
- Project Organization — List, create, and manage projects to keep your audio assets and clips organized.
- Voice Management — List available voices, create new custom voice profiles, and manage training recordings.
- AI Safety & Security — Detect deepfakes in audio files and apply or verify digital watermarks to ensure content authenticity.
The Resemble AI MCP Server exposes 16 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 16 Resemble AI tools available for LangChain
When LangChain connects to Resemble AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-cloning, text-to-speech, synthetic-media, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add watermark on Resemble AI
Apply an imperceptible watermark to an audio file
Create clip on Resemble AI
Supports SSML. Create a new clip (Text-to-Speech)
Create project on Resemble AI
Create a new project
Create recording on Resemble AI
Upload an audio recording to train a voice
Create voice on Resemble AI
Create a new custom voice
Delete voice on Resemble AI
Delete a custom voice
Detect deepfake on Resemble AI
Verify if an audio clip is real or AI-generated
Get clip on Resemble AI
Get a specific clip
Get voice on Resemble AI
Get details of a specific voice
List clips on Resemble AI
List clips in a project
List projects on Resemble AI
List all projects
List recordings on Resemble AI
List recordings for a voice
List voices on Resemble AI
List all custom and system voices
Speech to speech on Resemble AI
Transform an input audio file into a target voice (STS)
Update clip on Resemble AI
Update an existing clip
Verify watermark on Resemble AI
Verify a watermark in an audio file
Connect Resemble AI to LangChain via MCP
Follow these steps to wire Resemble AI into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Resemble AI MCP Server
LangChain provides unique advantages when paired with Resemble AI through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Resemble AI 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 Resemble AI queries for multi-turn workflows
Resemble AI + LangChain Use Cases
Practical scenarios where LangChain combined with the Resemble AI MCP Server delivers measurable value.
RAG with live data: combine Resemble AI tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Resemble AI, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Resemble AI tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Resemble AI tool call, measure latency, and optimize your agent's performance
Example Prompts for Resemble AI in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Resemble AI immediately.
"List all my Resemble AI projects and their UUIDs."
"Create a new audio clip in project proj_123 saying 'Welcome to the future of voice' using voice voice_789."
"Analyze this audio URL to see if it's a deepfake: https://example.com/audio.mp3"
Troubleshooting Resemble AI MCP Server with LangChain
Common issues when connecting Resemble AI to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersResemble AI + LangChain FAQ
Common questions about integrating Resemble AI MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
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