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DummyJSON MCP, Ready to Go

Give your AI agents a mock API sandbox with DummyJSON. Perfect for Claude or Cursor users building frontend prototypes without a backend.

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Build and test your frontend with a mock e-commerce API.

DummyJSON MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the DummyJSON Connector?

1395ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 1265ms
Average 1395ms
Max 2516ms
Trend (improving) ↓ 16%
Daily latency
2516ms 7/12/2026
1444ms 7/13/2026
1365ms 7/14/2026
1582ms 7/15/2026
1388ms 7/16/2026
1526ms 7/17/2026
1339ms 7/18/2026
1373ms 7/19/2026
1295ms 7/20/2026
1370ms 7/21/2026
1444ms 7/22/2026
1352ms 7/23/2026
1320ms 7/24/2026
1265ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with DummyJSON 68 Tools for Mock API Prototyping

Use these tools to simulate products, carts, auth, and more for your AI agent.

Add product

Add a new product to the mock catalog.

Add recipe

Add a new recipe to the dummy database.

Add todo

Add a new todo item to the list.

Add user

Create a new user profile in the system.

Delete cart

Remove a shopping cart from the database.

Delete comment

Delete a specific comment from a post.

Delete post

Remove a post from the mock feed.

Delete product

Remove a product from the catalog.

Delete recipe

Delete a recipe from the database.

Delete todo

Remove a todo item from the list.

Delete user

Delete a user profile from the system.

Filter users

Filter the user list by specific keys and values.

Get cart

Retrieve a single cart using its unique ID.

Get comment

Fetch a specific comment by its ID.

Get comments by post

Get all comments associated with a particular post.

Auth get me

Retrieve the profile of the currently logged-in user.

Get post comments

Fetch comments for a specific post.

Get post

Get the details of a single post by its ID.

Get posts by user

Fetch all posts created by a specific user.

Get product

Retrieve a single product by its unique ID.

Get products by category

Get all products belonging to a specific category.

Get quote

Fetch a single quote by its ID.

Get random quote

Get a random quote from the database.

Get random quotes

Fetch up to 10 random quotes at once.

Get random todo

Fetch a random todo item from the list.

Get recipe

Retrieve a single recipe by its unique ID.

Get recipes by meal type

Get all recipes filtered by meal type.

Get recipes by tag

Get all recipes filtered by a specific tag.

Get todo

Retrieve a single todo item by its unique ID.

Get user carts

Get all carts belonging to a specific user.

Get user posts

Fetch all posts belonging to a specific user.

Get user todos

Fetch all todos belonging to a specific user.

Get user

Retrieve a single user profile by its unique ID.

List carts

Get a list of all shopping carts in the system.

List categories

Get a list of all available category objects.

List category list

Get a list of all category names.

List comments

Get a list of all comments in the database.

List post tags

Get a list of all tags used for posts.

List posts

Get a list of all posts in the system.

List products

Get a list of all products in the mock catalog.

List quotes

Get a list of all quotes in the database.

List recipe tags

Get a list of all tags used for recipes.

List recipes

Get a list of all recipes in the system.

List todos

Get a list of all todo items in the database.

List users

Get a list of all users in the system.

Auth login

Authenticate a user to receive JWT tokens.

Auth refresh token

Use a refresh token to extend the current session.

Search posts

Search for specific posts in the database.

Search products

Search for products using specific keywords.

Search recipes

Search for recipes using specific keywords.

Search users

Search for users by name or other attributes.

Update cart

Update the items within a shopping cart.

Update comment

Update the content of a specific comment.

Update post

Update the details of a specific post.

Update product

Update the details of a product in the catalog.

Update recipe

Update the details of a specific recipe.

Update todo

Update the details of a specific todo item.

Update user

Update the profile details of a specific user.

Add cart

Create a new shopping cart in the system.

Add comment

Add a new comment to a post.

Add post

Create a new post in the system.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

DummyJSON Mock API for Rapid Frontend Prototyping

This is for the frontend developer who needs to build a UI today, the QA engineer who wants to stress-test API responses, or the researcher building an agent that needs to learn how to handle complex data structures.

Frontend Developer

Building a storefront UI and needs to see how products look in a list without a real database.

QA Engineer

Testing how the app handles empty carts or deleted posts to find bugs early.

AI Researcher

Training an agent to handle multi-step tool calling using a safe, predictable data sandbox.

Frequently Asked Questions

What is DummyJSON MCP for? +

It provides a mock API sandbox for your AI agent. It lets you simulate data for products, carts, and user accounts so you can build and test your app's UI without needing a real backend.

Can I use DummyJSON MCP to build a real online store? +

No, this is for prototyping and testing only. It provides fake data that behaves like a real API, but it is not a production environment for real transactions or customer data.

Does DummyJSON MCP work with Claude and Cursor? +

Yes, it works with any MCP-compatible client including Claude, Cursor, Windsurf, and VS Code.

How do I get product data for my UI using DummyJSON MCP? +

You can simply ask your AI agent to list products or search for specific categories. The agent will use the mock API to fetch the data and show it to you in your project.

Can I test user login flows with DummyJSON MCP? +

Yes, you can simulate the entire authentication flow, including logging in, retrieving user profiles, and refreshing session tokens.

Is the data in DummyJSON MCP permanent? +

The data is simulated for your testing needs. While it behaves like a real database, it is intended for mock interactions during development and prototyping.

How can I retrieve a list of all products with a specific limit? +

You can use the list_products tool and provide the limit parameter to control the number of results returned by the API.

Is it possible to simulate adding a product to the database? +

Yes! Use the add_product tool. Note that this is a simulation; the API will return the new product object with an ID, but it won't be permanently stored.

How do I check the carts belonging to a specific user? +

Simply use the get_user_carts tool and provide the userId. The agent will return all shopping carts associated with that specific user ID.

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