api.video MCP Server for LangChainGive LangChain instant access to 9 tools to Create Video Object, Delete Video, Get Video Analytics, and more
LangChain is the leading Python framework for composable LLM applications. Connect api.video 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 api.video app connector for LangChain is a standout in the Developer Tools category — giving your AI agent 9 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({
"apivideo": {
"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 api.video, 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 api.video MCP Server
Connect your api.video account to any AI agent and take full control of your professional video hosting infrastructure and automated media workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with api.video through native MCP adapters. Connect 9 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
- Video Orchestration — List and manage your entire high-fidelity video library programmatically, or create new video objects to prepare for uploads in real-time
- Asset Intelligence — Retrieve detailed high-fidelity status and direct asset URLs for players, thumbnails, and navigation markers (chapters) directly through your agent
- Deep Analytics Tracking — Monitor performance metrics like total plays and impressions using high-fidelity aggregation tools to coordinate your content strategy
- Multilingual Captions — Access and manage subtitle tracks across multiple languages to maintain a perfectly coordinated global viewer experience
- Infrastructure Monitoring — Access your directory of custom player themes and store-level metadata directly through your agent for instant operational reporting
The api.video MCP Server exposes 9 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 9 api.video tools available for LangChain
When LangChain connects to api.video through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, video-streaming, encoding, 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.
Set title and description here. Initialize a new video
video. Permanently delete a video
Retrieve performance metrics
Get metadata for a video
List custom player themes
List captions for a video
List chapters for a video
Supports filtering by title or tags. List your api.video videos
Modify video metadata
Connect api.video to LangChain via MCP
Follow these steps to wire api.video 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 api.video MCP Server
LangChain provides unique advantages when paired with api.video through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine api.video 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 api.video queries for multi-turn workflows
api.video + LangChain Use Cases
Practical scenarios where LangChain combined with the api.video MCP Server delivers measurable value.
RAG with live data: combine api.video tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query api.video, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain api.video tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every api.video tool call, measure latency, and optimize your agent's performance
Example Prompts for api.video in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with api.video immediately.
"List the last 5 videos in my api.video account."
"Show the play count analytics for all videos this month."
"Get the player link and captions for video ID 'vi123'."
Troubleshooting api.video MCP Server with LangChain
Common issues when connecting api.video to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersapi.video + LangChain FAQ
Common questions about integrating api.video 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.