Spiritme MCP Server for LangChainGive LangChain instant access to 12 tools to Check Spiritme Status, Delete Video, Generate Audio, and more
LangChain is the leading Python framework for composable LLM applications. Connect Spiritme 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 App Connector for LangChain
The Spiritme app connector for LangChain is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"spiritme": {
"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 Spiritme, 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 Spiritme MCP Server
Connect your Spiritme account to any AI agent and take full control of your automated video avatar generation and high-fidelity personalized media workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Spiritme through native MCP adapters. Connect 12 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
- Avatar Portfolio Orchestration — List and manage your entire high-fidelity portfolio of digital avatars programmatically, retrieving detailed technical metadata and SKU IDs
- Video Generation Intelligence — Programmatically trigger and monitor high-fidelity video generation jobs using custom scripts and voice selections
- Asset & Media Architecture — Access your complete directory of high-fidelity hosted video assets to oversee your organizational resource allocation in real-time
- Engagement Monitoring — Access real-time status updates for video processing and track generation results directly through your agent for instant reporting
- Operational Monitoring — Verify account-level API connectivity and monitor video orchestration volume directly through your agent for perfectly coordinated service scaling
The Spiritme MCP Server exposes 12 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.
All 12 Spiritme tools available for LangChain
When LangChain connects to Spiritme through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-avatars, video-generation, digital-human, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Delete a video
Generate audio
Generate a video
Get avatar details
Get video job status
Get template details
Get voice details
List avatars
List templates
List videos
List voices
Connect Spiritme to LangChain via MCP
Follow these steps to wire Spiritme into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the 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 Spiritme MCP Server
LangChain provides unique advantages when paired with Spiritme through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Spiritme 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 Spiritme queries for multi-turn workflows
Spiritme + LangChain Use Cases
Practical scenarios where LangChain combined with the Spiritme MCP Server delivers measurable value.
RAG with live data: combine Spiritme tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Spiritme, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Spiritme tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Spiritme tool call, measure latency, and optimize your agent's performance
Example Prompts for Spiritme in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Spiritme immediately.
"Generate a video with avatar 'av_123' and script: 'Hello, welcome to our team!'."
"Check the status of video job 'job_xyz789'."
"List all active videos in my Spiritme library."
Troubleshooting Spiritme MCP Server with LangChain
Common issues when connecting Spiritme to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSpiritme + LangChain FAQ
Common questions about integrating Spiritme 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.