How do I get a Client ID and Secret for GoBolt?

Log in to the GoBolt Merchant Portal, navigate to Settings > API, and create a new Service User to generate your Client ID and Secret.

What format should the addresses be in for rates?

Addresses should be provided as JSON objects with 'street', 'city', 'state_province', 'postal_code', and 'country' fields.

Can I track a shipment without a GoBolt ID?

Yes! The 'track_shipment' tool accepts either a GoBolt Order ID or a Carrier Tracking Number.

What label formats are supported?

The API supports 'pdf' for standard printers and 'zpl' for industrial thermal label printers.

GoBolt MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: GoBolt
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to GoBolt through Vinkius, pass the Edge URL in the `mcps` parameter and every GoBolt tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="GoBolt Specialist",
    goal="Help users interact with GoBolt effectively",
    backstory=(
        "You are an expert at leveraging GoBolt tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in GoBolt "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, GoBolt becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call GoBolt tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the GoBolt MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from GoBolt

Why Use CrewAI with the GoBolt MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with GoBolt through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

GoBolt + CrewAI Use Cases

Practical scenarios where CrewAI combined with the GoBolt MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries GoBolt for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries GoBolt, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain GoBolt tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries GoBolt against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

GoBolt MCP Tools for CrewAI (12)

These 12 tools become available when you connect GoBolt to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting GoBolt to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

GoBolt + CrewAI FAQ

Common questions about integrating GoBolt MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.