EX.CO Video Experience MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect EX.CO Video Experience through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
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({
"exco-video-experience": {
"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 EX.CO Video Experience, 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 EX.CO Video Experience MCP Server
Integrate EX.CO, the leading video experience platform, directly into your AI workflow. Manage your video library and interactive content (quizzes, polls), track real-time performance analytics and engagement metrics, monitor distribution channels and playlists, and oversee your entire video strategy using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with EX.CO Video Experience 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 Oversight — List and retrieve detailed information, durations, and metadata for all your hosted videos.
- Interactive Content Intelligence — Monitor quizzes, polls, and other interactive items, resolving configuration details and performance data.
- Performance Management — Access real-time video analytics, resolving total views, completions, and interaction rates via chat.
- Content Auditing — Retrieve high-level summaries of video volume, channel activity, and organizational content health instantly.
The EX.CO Video Experience 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 EX.CO Video Experience to LangChain via MCP
Follow these steps to integrate the EX.CO Video Experience 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 EX.CO Video Experience via MCP
Why Use LangChain with the EX.CO Video Experience MCP Server
LangChain provides unique advantages when paired with EX.CO Video Experience through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine EX.CO Video Experience 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 EX.CO Video Experience queries for multi-turn workflows
EX.CO Video Experience + LangChain Use Cases
Practical scenarios where LangChain combined with the EX.CO Video Experience MCP Server delivers measurable value.
RAG with live data: combine EX.CO Video Experience tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query EX.CO Video Experience, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain EX.CO Video Experience tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every EX.CO Video Experience tool call, measure latency, and optimize your agent's performance
EX.CO Video Experience MCP Tools for LangChain (10)
These 10 tools become available when you connect EX.CO Video Experience to LangChain via MCP:
get_content_detailed_intelligence
Get detailed settings and performance data for a specific content item
get_ex_co_account_metadata
Retrieve metadata and limits for your EX.CO account
get_video_analytics_summary
Get a high-level summary of video performance and engagement
get_video_detailed_data
Get detailed settings and metadata for a specific video
list_interactive_content
List all interactive content items (quizzes, polls, etc.) in your account
list_successfully_published_videos
Identify videos that are currently in a "Published" status
list_video_distribution_channels
List all video channels configured in your organization
list_video_library
CO API. List all videos in your EX.CO library
list_video_playlists
List all video playlists created in your account
quick_video_performance_audit
Retrieve a high-level summary of videos and analytics
Example Prompts for EX.CO Video Experience in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with EX.CO Video Experience immediately.
"List all videos in my library."
"Show me analytics summary for this week."
"Search for interactive content matching 'Quiz'."
Troubleshooting EX.CO Video Experience MCP Server with LangChain
Common issues when connecting EX.CO Video Experience to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersEX.CO Video Experience + LangChain FAQ
Common questions about integrating EX.CO Video Experience 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?
Connect EX.CO Video Experience with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect EX.CO Video Experience to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.