Hologram.io MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Hologram.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 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 Hologram.io. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Hologram.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 Hologram.io MCP Server
Connect your Hologram.io IoT platform to any AI agent and take full control of your global cellular connectivity and device fleet through natural conversation.
LlamaIndex agents combine Hologram.io tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Device Oversight — List all IoT devices in your account, retrieve detailed metadata, and monitor their active status.
- SIM Card Management — Access lists of SIM cards (cellular links) and their associated data plans to ensure seamless connectivity.
- Data Usage Monitoring — Retrieve recent data sessions, daily usage statistics, and current billing cycle summaries.
- Connectivity Control — Quickly pause or unpause data services for specific SIM cards directly from the chat interface.
- Location Insights — Access approximate GPS coordinates for your entire fleet based on cell tower triangulation.
- SMS Tracking — Retrieve the history of device-originated SMS messages for troubleshooting and logging.
The Hologram.io MCP Server exposes 11 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 Hologram.io to LlamaIndex via MCP
Follow these steps to integrate the Hologram.io 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 11 tools from Hologram.io
Why Use LlamaIndex with the Hologram.io MCP Server
LlamaIndex provides unique advantages when paired with Hologram.io through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Hologram.io tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Hologram.io tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Hologram.io, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Hologram.io tools were called, what data was returned, and how it influenced the final answer
Hologram.io + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Hologram.io MCP Server delivers measurable value.
Hybrid search: combine Hologram.io real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Hologram.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 Hologram.io for fresh data
Analytical workflows: chain Hologram.io queries with LlamaIndex's data connectors to build multi-source analytical reports
Hologram.io MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect Hologram.io to LlamaIndex via MCP:
get_billing_cycle_usage
Check data usage for the current billing cycle
get_daily_usage_stats
Retrieve aggregated daily data usage statistics
get_device_details
Get detailed information for a specific IoT device
get_device_locations
Retrieve approximate GPS coordinates for all devices based on cell tower data
get_recent_data_sessions
Retrieve the most recent data sessions for your fleet
list_available_data_plans
List all data plans available for activation in your organization
list_iot_devices
Use this to monitor fleet status and find specific device IDs. List all IoT devices in your Hologram account
list_sim_cards
List all SIM cards (cellular links) and their associated plans
list_sms_messages
Retrieve the history of device-originated SMS messages
pause_sim_data
Requires the cellular link ID. Temporarily suspend data services for a specific SIM card
unpause_sim_data
Resume data services for a suspended SIM card
Example Prompts for Hologram.io in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Hologram.io immediately.
"List all IoT devices and show which ones are currently active."
"Show me the total data usage for the current billing cycle."
"Find the approximate location of all devices in my account."
Troubleshooting Hologram.io MCP Server with LlamaIndex
Common issues when connecting Hologram.io to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHologram.io + LlamaIndex FAQ
Common questions about integrating Hologram.io 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 Hologram.io 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 Hologram.io to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.