GoBolt 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 GoBolt 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 GoBolt. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in GoBolt?"
)
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 GoBolt MCP Server
Connect your GoBolt merchant account to any AI agent to automate your e-commerce logistics and parcel tracking through the Model Context Protocol (MCP). GoBolt is a sustainable logistics and 3PL provider that simplifies global shipping. This MCP server enables you to retrieve real-time shipping rates, manage fulfillment orders, and track deliveries directly through natural conversation.
LlamaIndex agents combine GoBolt tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.
Key Features
- Real-time Quoting — Retrieve live shipping rates based on origin, destination, and package dimensions to provide accurate costs to your customers.
- Order Management — Create and manage shipping orders in GoBolt's fulfillment system, including updating recipient and package details.
- Precision Tracking — Access real-time status updates and full event histories for any order ID or tracking number.
- Label Generation — Retrieve PDF or ZPL shipping labels for fulfilled orders programmatically from your chat interface.
- Sustainability Insights — Access metadata related to GoBolt's eco-friendly logistics and last-mile delivery services.
- Merchant Oversight — Access metadata for your authenticated account to verify connectivity and authorized project scopes.
- Real-time Synchronization — Keep your logistics and fulfillment data accessible to your AI assistant without leaving your primary workspace.
The GoBolt 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 GoBolt to LlamaIndex via MCP
Follow these steps to integrate the GoBolt 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 GoBolt
Why Use LlamaIndex with the GoBolt MCP Server
LlamaIndex provides unique advantages when paired with GoBolt through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GoBolt tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GoBolt tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GoBolt, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GoBolt tools were called, what data was returned, and how it influenced the final answer
GoBolt + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GoBolt MCP Server delivers measurable value.
Hybrid search: combine GoBolt real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GoBolt 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 GoBolt for fresh data
Analytical workflows: chain GoBolt queries with LlamaIndex's data connectors to build multi-source analytical reports
GoBolt MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect GoBolt to LlamaIndex via MCP:
create_shipping_order
Place shipping order
find_cheapest_rate
Find lowest cost
find_fastest_rate
Find fastest delivery
get_merchant_info
Get account identity
get_order_details
Get order metadata
get_shipping_labels
Download labels
get_shipping_rates
Get real-time rates
get_tracking_history
View full events
list_shipping_orders
List all orders
modify_shipping_order
Update order info
track_shipment
Get tracking info
verify_api_connection
Check connection
Example Prompts for GoBolt in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with GoBolt immediately.
"Get shipping rates from NY to LA for a 2kg package."
"Track my order with ID 'GBLT-98765'."
"Find the cheapest shipping rate for a package to Toronto."
Troubleshooting GoBolt MCP Server with LlamaIndex
Common issues when connecting GoBolt to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGoBolt + LlamaIndex FAQ
Common questions about integrating GoBolt 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 GoBolt 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 GoBolt to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.