EX.CO Video Experience MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add EX.CO Video Experience as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to EX.CO Video Experience. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in EX.CO Video Experience?"
)
print(response)
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.
LlamaIndex agents combine EX.CO Video Experience tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the EX.CO Video Experience MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from EX.CO Video Experience
Why Use LlamaIndex with the EX.CO Video Experience MCP Server
LlamaIndex provides unique advantages when paired with EX.CO Video Experience through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine EX.CO Video Experience tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain EX.CO Video Experience tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query EX.CO Video Experience, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what EX.CO Video Experience tools were called, what data was returned, and how it influenced the final answer
EX.CO Video Experience + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the EX.CO Video Experience MCP Server delivers measurable value.
Hybrid search: combine EX.CO Video Experience real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query EX.CO Video Experience to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying EX.CO Video Experience for fresh data
Analytical workflows: chain EX.CO Video Experience queries with LlamaIndex's data connectors to build multi-source analytical reports
EX.CO Video Experience MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect EX.CO Video Experience to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting EX.CO Video Experience to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEX.CO Video Experience + LlamaIndex FAQ
Common questions about integrating EX.CO Video Experience MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.