How to Use the Gigs MCP in LlamaIndex
Index Gigs eSIM metadata and cellular usage logs via this MCP Server into LlamaIndex vector stores to query your telecom network.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Gigs MCP to LlamaIndex
Create your Vinkius account to connect Gigs to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Semantic search over Gigs data using LlamaIndex
`list_mobile_subscriptions` pulls active cellular accounts to build a searchable knowledge base of your deployed Gigs network. LlamaIndex indexes these records into your vector store, allowing natural language queries on active lines. Users query their Gigs connectivity status without digging through raw database tables. The LlamaIndex index returns grounded answers by pulling the exact metadata retrieved from Gigs.
Grounded data usage reports and anomaly detection
`get_subscription_usage` provides the raw consumption data that LlamaIndex uses to ground its network analysis. Your LlamaIndex agent compares live bytes consumed against historical Gigs records stored in your index. This LlamaIndex setup eliminates hallucinated usage figures by forcing the LLM to cite actual Gigs API metrics. You get accurate, verifiable summaries of data consumption across your entire fleet.
Automated lookup of global connectivity profiles
`list_connectivity_plans` feeds local carrier options directly into your LlamaIndex retrieval-augmented generation pipeline. Your agent parses regional Gigs coverage constraints and pricing tiers to recommend the optimal eSIM configuration. Combining this MCP server with your local documentation allows LlamaIndex to match Gigs carrier specifications with device hardware requirements. This guarantees that provisioned profiles actually work on your physical modems.
Set up Gigs MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Gigs MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Gigs tools.",
)
response = await agent.run("List recent Gigs data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gigs. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Gigs MCP in LlamaIndex
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Gigs MCP today
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