Senar.io MCP Server for LlamaIndexGive LlamaIndex instant access to 9 tools to Add Content, Create User And Assign, Get Activity Data, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Senar.io 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 Senar.io app connector for LlamaIndex is a standout in the Industry Titans 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 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 Senar.io. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Senar.io?"
)
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 Senar.io MCP Server
Connect your Senar.io account to any AI agent and take full control of your augmented reality training orchestration through natural conversation. Senar.io provides a premier platform for VR/AR simulators, and this integration allows you to retrieve training metadata, assign simulators to users, and monitor performance results directly from your chat interface.
LlamaIndex agents combine Senar.io tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- User & Trainee Orchestration — List all managed users and retrieve detailed profile metadata, including creating and assigning users to collections programmatically.
- Simulator Lifecycle Management — Access and monitor your AR simulator collections and retrieve detailed module metadata directly from the AI interface.
- Activity & Performance Intelligence — Retrieve real-time training activity logs, including attempts, success rates, and duration data via natural language.
- Session & History Control — Access historical user session history to ensure your training compliance and skill development are always synchronized.
- Operational Monitoring — Track organization-wide training health and manage collection assignments using simple AI commands.
The Senar.io MCP Server exposes 9 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 9 Senar.io tools available for LlamaIndex
When LlamaIndex connects to Senar.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning senar, augmented-reality, training-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.
Add content to a collection
Create a new user and assign them to an AR collection
Get detailed training activity results
Get details for a content collection
Get learning progress for a user
Get details for a specific user
List all sessions for a specific user
List all AR simulator collections
List all users in your organization
Connect Senar.io to LlamaIndex via MCP
Follow these steps to wire Senar.io 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 Senar.io MCP Server
LlamaIndex provides unique advantages when paired with Senar.io through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Senar.io tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Senar.io tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Senar.io, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Senar.io tools were called, what data was returned, and how it influenced the final answer
Senar.io + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Senar.io MCP Server delivers measurable value.
Hybrid search: combine Senar.io real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Senar.io 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 Senar.io for fresh data
Analytical workflows: chain Senar.io queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Senar.io in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Senar.io immediately.
"List all active collections in my Senar account."
"Show me the learning progress for all users in the Engineering team with completion rates."
"Add a new training module to the Security collection and assign it to all engineering team members."
Troubleshooting Senar.io MCP Server with LlamaIndex
Common issues when connecting Senar.io to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSenar.io + LlamaIndex FAQ
Common questions about integrating Senar.io MCP Server with LlamaIndex.