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ShipBob MCP Server for CrewAIGive CrewAI instant access to 30 tools to Batch Cancel Shipments, Batch Update Tracking, Cancel Order, and more

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for CrewAI

The ShipBob MCP Server for CrewAI is a standout in the Ecommerce category — giving your AI agent 30 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from crewai import Agent, Task, Crew

agent = Agent(
    role="ShipBob Specialist",
    goal="Help users interact with ShipBob effectively",
    backstory=(
        "You are an expert at leveraging ShipBob 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 ShipBob "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 30 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
ShipBob
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ShipBob MCP Server

Connect your ShipBob account to any AI agent and take full control of your e-commerce fulfillment and supply chain through natural conversation.

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

What you can do

  • Order Management — List, retrieve, and create fulfillment orders. Check real-time statuses and cancel orders when necessary.
  • Product Catalog — Manage your virtual product records, list variants, and convert items into bundles directly from the chat.
  • Inventory Tracking — Monitor inventory levels across different locations, check lot-specific data, and query historical inventory movements.
  • Shipment Visibility — Get detailed tracking information and update shipment addresses to ensure successful deliveries.
  • Returns & Receiving — Create and manage return orders and Warehouse Receiving Orders (WRO) to keep your supply chain moving.

The ShipBob MCP Server exposes 30 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 30 ShipBob tools available for CrewAI

When CrewAI connects to ShipBob through Vinkius, your AI agent gets direct access to every tool listed below — spanning fulfillment, order-tracking, supply-chain, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

batch

Batch cancel shipments on ShipBob

Cancel multiple shipments at once

batch

Batch update tracking on ShipBob

Mark tracking as synced to your system

cancel

Cancel order on ShipBob

Cancel an order and its shipments

convert

Convert variant to bundle on ShipBob

Convert a variant into a bundle

create

Create order on ShipBob

Create a new fulfillment order

create

Create product on ShipBob

Create a new product with variants

create

Create receiving on ShipBob

Create a new Warehouse Receiving Order (WRO)

create

Create return on ShipBob

Create a return order (RMA)

get

Get inventory levels on ShipBob

Get aggregated inventory levels across all locations

get

Get inventory levels by location on ShipBob

Get inventory levels grouped by fulfillment center

get

Get inventory levels by lot on ShipBob

Get inventory levels grouped by lot/expiration

get

Get order on ShipBob

Get order details and shipment status

get

Get product on ShipBob

Get details for a specific product

get

Get receiving labels on ShipBob

Get PDF box labels for a WRO

get

Get shipment on ShipBob

Get specific shipment details

list

List channels on ShipBob

g., a Shopify store). List all channels the user has access to

list

List inventory on ShipBob

List all inventory items

list

List invoices on ShipBob

List invoices by date range

list

List orders on ShipBob

List orders with status/tracking filters

list

List product variants on ShipBob

List all variants for a product

list

List products on ShipBob

List products with filtering

list

List receiving on ShipBob

List Warehouse Receiving Orders (WROs)

list

List returns on ShipBob

List return orders

list

List transaction fees on ShipBob

List available fee types

query

Query inventory history on ShipBob

Query inventory movement events

query

Query transactions on ShipBob

Search transactions (charges, credits)

set

Set external sync receiving on ShipBob

Mark WROs as synced to your system

update

Update product on ShipBob

Update product details

update

Update return on ShipBob

Update an existing return

update

Update shipment address on ShipBob

Update the shipping address for a shipment

Connect ShipBob to CrewAI via MCP

Follow these steps to wire ShipBob into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 30 tools from ShipBob

Why Use CrewAI with the ShipBob MCP Server

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

01

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

02

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

03

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

04

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

ShipBob + CrewAI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for ShipBob in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with ShipBob immediately.

01

"List all my active ShipBob sales channels."

02

"What is the current status and tracking for order 123456?"

03

"Show me the inventory levels for SKU 'SUMMER-HAT-01'."

Troubleshooting ShipBob MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

ShipBob + CrewAI FAQ

Common questions about integrating ShipBob MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.

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