Gigs MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Gigs as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Gigs. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Gigs?"
)
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 Gigs MCP Server
Connect your Gigs telecom-as-a-service account to any AI agent to automate your mobile connectivity workflows through the Model Context Protocol (MCP). Gigs abstracts the complexity of global carriers into a unified API, allowing you to manage mobile plans and SIMs with ease. This MCP server enables you to retrieve connectivity plans, manage subscriber profiles (users), and track real-time data consumption directly through natural conversation.
LlamaIndex agents combine Gigs tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
Key Features
- Subscription Orchestration — List all active and inactive mobile subscriptions, retrieve detailed configuration metadata, and create new subscriptions instantly.
- Real-time Usage Tracking — Retrieve up-to-the-minute consumption data (data, talk, text) for any subscription to monitor user behavior.
- User Management — Register new telecom users and manage their profiles programmatically from your chat interface.
- Plan Discovery — Access a comprehensive catalog of voice and data plans available in 200+ countries.
- SIM Inventory Oversight — List and retrieve metadata for both eSIMs and physical SIM cards.
- Project Analytics — Access high-level metadata for your connected Gigs projects to verify settings and connectivity.
- Real-time Synchronization — Keep your telecom operations accessible to your AI assistant without leaving your primary workspace.
The Gigs MCP Server exposes 12 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 Gigs to LlamaIndex via MCP
Follow these steps to integrate the Gigs 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 12 tools from Gigs
Why Use LlamaIndex with the Gigs MCP Server
LlamaIndex provides unique advantages when paired with Gigs through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Gigs tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Gigs tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Gigs, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Gigs tools were called, what data was returned, and how it influenced the final answer
Gigs + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Gigs MCP Server delivers measurable value.
Hybrid search: combine Gigs real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Gigs 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 Gigs for fresh data
Analytical workflows: chain Gigs queries with LlamaIndex's data connectors to build multi-source analytical reports
Gigs MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Gigs to LlamaIndex via MCP:
create_mobile_subscription
Start new plan
create_telecom_user
Add new user
get_account_details
Get account identity
get_plan_details
Get plan metadata
get_subscription_details
Get subscription metadata
get_subscription_usage
Check data usage
list_connectivity_plans
List mobile plans
list_connectivity_sims
List SIM cards
list_connectivity_users
List telecom users
list_mobile_subscriptions
List all subscriptions
list_telecom_projects
List Gigs projects
verify_api_connection
Check connection
Example Prompts for Gigs in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Gigs immediately.
"List all available mobile data plans in the catalog."
"How much data has user 'sub_98765' used this month?"
"Create a new subscription for 'john@example.com' using plan 'plan_abc'."
Troubleshooting Gigs MCP Server with LlamaIndex
Common issues when connecting Gigs to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGigs + LlamaIndex FAQ
Common questions about integrating Gigs 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 Gigs 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 Gigs to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.