How to Use the GoBolt MCP in LlamaIndex

Index your GoBolt shipping history into LlamaIndex for RAG-powered logistics insights and semantic search.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect GoBolt MCP to LlamaIndex

Create your Vinkius account to connect GoBolt 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.

GDPR Free for Subscribers

Setup GoBolt with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index GoBolt data in LlamaIndex

Turn your `get_tracking_history` logs into searchable vector data. You query past shipments to find patterns across thousands of deliveries. Ground your answers in real history. The agent references specific past events instead of guessing based on generic training.

Build RAG with live API tools

Combine documents and live shipping data in one index. LlamaIndex treats your GoBolt output as part of the knowledge base. Your RAG pipeline stays current. When you call `list_shipping_orders`, the results immediately update your queryable context.

Filter tools for specific tasks

Control which operations your agent uses via the tool list filter. You limit the agent to read-only access for reporting tasks. Safety comes first. You restrict the agent to `track_shipment` while preventing it from running `modify_shipping_order` on live accounts.

Setup guide

Set up GoBolt MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 GoBolt MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 GoBolt tools.",
)
response = await agent.run("List recent GoBolt data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoBolt. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect GoBolt now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about GoBolt MCP in LlamaIndex

It does. You use the McpToolSpec to turn API results into indexable knowledge entries.

You pass the tool list into your FunctionAgent. The agent then performs semantic searches over your shipping records.

Yes. The tracking data is indexed, allowing you to ask natural language questions about past delivery performance.

The server uses isolated sandboxing. Your credentials are never exposed to the indexing process directly.

Your parcel metadata is indexed locally for your RAG application. It remains private and is never shared with third-party models.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the GoBolt MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started