Can I get direct download links for my videos through the agent?

Yes. The `get_video_source_files` tool allows your agent to retrieve direct MP4 download links and stream URLs for different qualities (like 720p or 1080p), making it easy to share raw files or use them in other applications.

How do I add a video to a specific player?

Use the `attach_video_to_player` tool. You'll need to provide the `player_id` and the `video_id`. Your agent can help you find these IDs by listing your players and videos first.

Can I create new video players through conversation?

Absolutely. The `create_empty_player` tool lets you provision a new player container with a descriptive name. Once created, you can attach videos to it and manage its settings directly through your agent.

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

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

asyncio.run(main())

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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 Vidyard MCP Server

Connect your Vidyard account to any AI agent and manage your business video library through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Vidyard 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.

What you can do

Video Library — List all video assets stored in your Vidyard dashboard and retrieve unique video IDs
Metadata & Details — Get technical metadata for any video including length, encoding status, and descriptions
Player Management — Create, update, and manage video players (facades) to customize how your content is embedded
Video Organization — Attach videos to specific players and organize your content for different marketing or sales needs
Direct Stream Access — Retrieve direct stream URLs and raw MP4 download links for various video qualities (480p, 720p, etc.)
Asset Management — Rename players or permanently delete video assets and player containers from your dashboard

The Vidyard 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 Vidyard to LangChain via MCP

Follow these steps to integrate the Vidyard 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 Vidyard via MCP

Why Use LangChain with the Vidyard MCP Server

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

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

Vidyard + LangChain Use Cases

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

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

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

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

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

Vidyard MCP Tools for LangChain (10)

These 10 tools become available when you connect Vidyard to LangChain via MCP:

attach_video_to_player

Requires both player ID and video ID. Adds a video asset into a specific player container

create_empty_player

Creates a new, empty video player container

delete_video_asset

This action is irreversible. Permanently deletes a video asset from Vidyard

delete_video_player

Note that the original video assets are not deleted. Permanently deletes a video player

get_player_details

Retrieves details for a specific video player

get_video_details

Retrieves technical metadata for a specific video asset

get_video_source_files

Retrieves direct stream URLs for various video qualities (480p, 720p, etc.)

list_video_players

Lists all configured video players (facades) in the account

list_videos

Lists all video assets stored in the Vidyard dashboard

update_player_name

Updates the display name or title of an existing player

Example Prompts for Vidyard in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Vidyard immediately.

"List all my videos in Vidyard."

"Get the direct download links for the 'Product Demo' video."

"Create a new player called 'Website Homepage' and attach my latest video to it."

Troubleshooting Vidyard MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Vidyard + LangChain FAQ

Common questions about integrating Vidyard 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.