Kargo MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kargo 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 Kargo. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Kargo?"
)
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 Kargo MCP Server
Connect your Kargo logistics account to your AI agent and optimize your supply chain and loading dock operations through natural conversation.
LlamaIndex agents combine Kargo 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
- Shipment Tracking — List all shipments for your facility and get real-time status updates and carrier info.
- Order Management — Access facility-wide customer orders and their current status.
- Deep Inspection — Fetch complete metadata for specific shipments or orders using their unique numbers.
- Data Synchronization — Push order and shipment payload data directly to Kargo's Unified Endpoint to keep systems in sync.
- Facility & Device Oversight — List all business facilities and monitor the status of active IoT devices (cameras, sensors).
- Audit Logs — Review the history of data payloads pushed to the platform.
The Kargo 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.
How to Connect Kargo to LlamaIndex via MCP
Follow these steps to integrate the Kargo 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 10 tools from Kargo
Why Use LlamaIndex with the Kargo MCP Server
LlamaIndex provides unique advantages when paired with Kargo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kargo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kargo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kargo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kargo tools were called, what data was returned, and how it influenced the final answer
Kargo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kargo MCP Server delivers measurable value.
Hybrid search: combine Kargo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kargo 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 Kargo for fresh data
Analytical workflows: chain Kargo queries with LlamaIndex's data connectors to build multi-source analytical reports
Kargo MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Kargo to LlamaIndex via MCP:
get_carrier_info
Get carrier contact info
get_device_status
Get specific device status
get_order
Get specific order details
get_shipment
Get specific shipment details
list_devices
List facility IoT devices
list_facilities
List all business facilities
list_orders
List facility orders
list_payload_logs
List sync payload logs
list_shipments
List all shipments at the facility
update_logistics
Sync data to Kargo Unified Endpoint
Example Prompts for Kargo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Kargo immediately.
"List all active shipments for my facility."
"Check the status of all IoT devices in the facility."
"Get details for shipment number SHP-2024-05."
Troubleshooting Kargo MCP Server with LlamaIndex
Common issues when connecting Kargo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKargo + LlamaIndex FAQ
Common questions about integrating Kargo 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 Kargo 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 Kargo to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.