Teyuto MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Teyuto Status, Get Collection, Get User, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Teyuto 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 App Connector for LlamaIndex
The Teyuto app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Teyuto. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Teyuto?"
)
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 Teyuto MCP Server
Connect your Teyuto account to any AI agent and manage your video platform.
LlamaIndex agents combine Teyuto 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 Management — List and inspect videos with full metadata
- Video Analytics — View watch time, view counts, and engagement metrics
- Collection Management — List and inspect video collections
- User Management — List users and view detailed profiles
- Channel Access — Browse available channels
- Subscription Plans — View plan pricing and features
The Teyuto 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.
All 10 Teyuto tools available for LlamaIndex
When LlamaIndex connects to Teyuto through Vinkius, your AI agent gets direct access to every tool listed below — spanning teyuto, vod-api, video-streaming-automation, 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 API connectivity
Get collection details
Get user details
Get video details
Get video analytics
List channels
List collections
List subscriptions
List all users
List all videos
Connect Teyuto to LlamaIndex via MCP
Follow these steps to wire Teyuto into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Teyuto MCP Server
LlamaIndex provides unique advantages when paired with Teyuto through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Teyuto tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Teyuto tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Teyuto, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Teyuto tools were called, what data was returned, and how it influenced the final answer
Teyuto + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Teyuto MCP Server delivers measurable value.
Hybrid search: combine Teyuto real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Teyuto 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 Teyuto for fresh data
Analytical workflows: chain Teyuto queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Teyuto in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Teyuto immediately.
"List all my videos."
"Show analytics for video vid_001."
"List all video collections."
Troubleshooting Teyuto MCP Server with LlamaIndex
Common issues when connecting Teyuto to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTeyuto + LlamaIndex FAQ
Common questions about integrating Teyuto MCP Server with LlamaIndex.