How to Use the DummyJSON MCP in CrewAI

Q: How do I pass DummyJSON tools to a CrewAI agent?

You pass the Vinkius MCP URL directly into the agent's mcps array parameter. The agent automatically discovers tools like listproducts and starts using them during execution.

Q: Can I restrict a CrewAI agent to only use specific DummyJSON tools?

Yes, use MCPServerHTTP from crewai.mcp and set a toolfilter. This prevents your agent from running destructive actions like deleteproduct while allowing read-only access.

Q: How do CrewAI agents coordinate when updating a DummyJSON cart?

Agents share memory and state, so an agent running addcart can pass the cart ID to a moderator agent. The moderator then uses updatecart to finalize the items sequentially.

Run autonomous multi-agent teams using CrewAI and the DummyJSON MCP server to simulate real-world business operations.

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Connect DummyJSON MCP to CrewAI

Create your Vinkius account to connect DummyJSON to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup DummyJSON with CrewAI

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Collaborative product catalog curation

The `list_products` tool gives your CrewAI research agent immediate access to a full mock inventory. The researcher agent can pull down items, while a separate analyst agent uses `search_products` to categorize them or find gaps in the catalog. Once the analysis is complete, a manager agent can invoke `add_product` to simulate adding missing inventory. This multi-agent setup lets you test complex catalog management pipelines without risking your production database.

Multi-agent support via CrewAI

The `get_user_todos` tool allows a customer support CrewAI team to inspect mock user task lists and simulate issue resolution. One agent identifies unfinished tasks using `get_todo`, while another agent drafts helpful responses or updates the task status using `update_todo`. By coordinating agents hierarchically, you can simulate an entire support desk. The crew uses `add_comment` to document their progress, creating a realistic audit trail of mock interactions.

Automated recipe generation via MCP Server

The `list_recipes` tool feeds your creative CrewAI agents with mock culinary data. A researcher agent pulls down recipes using `get_recipe`, while a writer agent uses `get_recipes_by_tag` to generate themed meal plans or blog content. The final output can be saved using `add_recipe` to simulate a user-generated content platform. This lets you test content moderation and formatting pipelines before you build the actual backend.

Setup guide

Set up DummyJSON MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke DummyJSON tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="DummyJSON Analyst",
    goal="Access and analyze DummyJSON data via MCP.",
    backstory="Expert analyst with direct DummyJSON access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent DummyJSON transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="DummyJSON Analyst",
        goal="Access and analyze DummyJSON data via MCP.",
        backstory="Expert analyst with direct DummyJSON access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent DummyJSON transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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 DummyJSON. 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.

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Common questions about DummyJSON MCP in CrewAI

You pass the Vinkius MCP URL directly into the agent's `mcps` array parameter. The agent automatically discovers tools like `list_products` and starts using them during execution.

Yes, use `MCPServerHTTP` from `crewai.mcp` and set a `tool_filter`. This prevents your agent from running destructive actions like `delete_product` while allowing read-only access.

Agents share memory and state, so an agent running `add_cart` can pass the cart ID to a moderator agent. The moderator then uses `update_cart` to finalize the items sequentially.

CrewAI supports stdio, SSE, and Streamable HTTP transports. When connecting to Vinkius, it typically uses the Streamable HTTP transport for fast, secure communication.

The server only processes public mock data like fake ingredients and dummy product names. Vinkius handles all credentials inside ephemeral, zero-trust sandboxes to guarantee no data leaks outside your crew.

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