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GoRest MCP. Simulate any data flow—users, posts, and comments.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

GoRest MCP on Cursor AI Code Editor MCP Client GoRest MCP on Claude Desktop App MCP Integration GoRest MCP on OpenAI Agents SDK MCP Compatible GoRest MCP on Visual Studio Code MCP Extension Client GoRest MCP on GitHub Copilot AI Agent MCP Integration GoRest MCP on Google Gemini AI MCP Integration GoRest MCP on Lovable AI Development MCP Client GoRest MCP on Mistral AI Agents MCP Compatible GoRest MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

GoRest. Access and manage mock data for users, posts, and comments using the GoRest API. This server lets your agent perform full CRUD operations on simulated data structures, making it perfect for prototyping, testing, and building mock data flows without a live backend.

You can manage user profiles, write new posts, add comments, and query specific records.

What your AI agents can do

Create comment

Adds a new comment to the system.

Create post

Creates a brand new post on the platform.

Create post comment

Adds a comment to a specific existing post.

+ 20 more capabilities included
Manage Users

Create, read, update, and delete user profiles, including attributes like gender and status.

Manage Posts

Create, read, and update blog-style posts, and delete them when they're done.

Manage Comments

Add, fetch, list, and delete comments related to specific posts or generally.

Manage Todos

Create, read, update, and delete simple todo items, linking them to a specific user.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

create019e5d21

create comment

Adds a new comment to the system.

create019e5d21

create post

Creates a brand new post on the platform.

create019e5d21

create post comment

Adds a comment to a specific existing post.

create019e5d21

create todo

Creates a new to-do list item.

create019e5d21

create user

Creates a new user profile in the system.

create019e5d21

create user post

Creates a post linked to a specific user.

create019e5d21

create user todo

Creates a to-do list item assigned to a specific user.

delete019e5d21

delete post

Deletes an entire post from the system.

delete019e5d21

delete user

Deletes an existing user profile.

get019e5d21

get comment

Fetches the details of a single, specific comment.

get019e5d21

get post

Retrieves all information for one specific post.

get019e5d21

get todo

Fetches the details of a single to-do list item.

get019e5d21

get user

Retrieves all information for one specific user.

list019e5d21

list comments

Lists all comments, supporting pagination for large result sets.

list019e5d21

list post comments

Lists all comments associated with a specific post.

list019e5d21

list posts

Lists all posts, supporting pagination.

list019e5d21

list todos

Lists all to-do items, supporting pagination.

list019e5d21

list user posts

Lists all posts that were written by a single user.

list019e5d21

list user todos

Lists all to-do items that belong to a single user.

list019e5d21

list users

Retrieves a list of all available user profiles.

replace019e5d21

replace user

Completely replaces an existing user's record with new data.

update019e5d21

update post

Updates the content or metadata of an existing post.

update019e5d21

update user

Partially updates specific fields of an existing user profile.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with GoRest, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 4,700+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week

What you can do with this MCP connector

GoRest lets your agent run full CRUD operations on mock data for users, posts, and comments. You can use this server to test application logic, build mock data flows, or prototype without needing a live backend connection. You can manage everything from user profiles to to-do lists and comments.

How GoRest MCP Works

  1. 1 Subscribe to the GoRest server and enter your access token.
  2. 2 Tell your agent which action to perform (e.g., 'list all active users').
  3. 3 The agent calls the appropriate tool, and you get back the structured data payload.

The bottom line is that your AI client sends a simple request, and the server returns structured data, no matter what your final application needs.

Who Is GoRest MCP For?

This is for developers who need a stable, predictable data source for building and testing AI agents. If you're building an agent that talks to a backend, but you don't want to set up a full database, this tool is your quick fix. It lets you focus on the logic and the API calls, not the infrastructure.

Frontend Developer

Needs to quickly populate UI components with realistic, mock data to test the look and feel before the real backend is ready.

QA Engineer

Automates the creation, update, and deletion of test accounts and posts to verify complex application logic across different states.

Data Analyst

Practices querying and manipulating relational-style data structures through a simple REST interface to validate data flow logic.

What Changes When You Connect

  • Stop wasting time setting up local mock APIs. Use list_users and list_posts to pull realistic, structured data instantly. This lets you test your agent's data parsing logic right out of the gate.
  • Test complex user interactions without side effects. Need to see how a user's history looks? Use list_user_posts and list_user_todos to model user-specific journeys accurately.
  • Handle the full write cycle for content. Use create_user to establish a persona, then create_user_post to make them write something, and create_post_comment to get feedback.
  • Simplify data retrieval. Instead of writing complex joins, use targeted tools like get_user or list_post_comments to pull exactly the record you need.
  • Build resilient agent logic. By practicing CRUD operations (create_todo, update_post, delete_user), you ensure your agent handles both successful actions and failure states.
  • Support complex filtering. Query users by specific attributes (name, email, status) using the underlying list tools, ensuring your agent can handle nuanced data requests.

Real-World Use Cases

01

Modeling a new user journey

A marketing agent needs to simulate a new user signing up and making their first post. The agent first calls create_user to establish the user. Then, it uses create_user_post to simulate the initial content creation. Finally, it uses create_post_comment to simulate community engagement, completing the user lifecycle simulation.

02

Verifying data dependencies for QA

A QA engineer needs to confirm that deleting a user also cleans up all associated content. They first call list_user_posts to get all IDs, then delete_user to remove the profile. Finally, they run list_user_todos to confirm all linked to-dos are gone. This verifies the full data cleanup flow.

03

Building a complex reporting dashboard

A data science agent needs to pull a complete view of activity for a single post. It first calls get_post to get the core content. Then, it runs list_post_comments to fetch all associated discussion. Finally, it uses list_comments to aggregate all comments, providing a complete picture for the dashboard.

04

Simulating content updates

A content editor agent needs to revise an old piece of content. It first calls get_post to retrieve the draft. It then uses update_post with the revised text. Finally, it might use get_user to check the original author's profile before publishing the change.

The Tradeoffs

Fetching everything for one detail

Calling list_users just to find one user's ID, and then calling get_user with that ID. This is inefficient and relies on list pagination.

If you know the ID, just use get_user directly. If you only know a search parameter, use the list functions that accept filters, rather than paginating through hundreds of records.

Over-relying on general list tools

Using list_posts when you only care about one user's work. This forces you to filter a massive dataset client-side, which is slow and error-prone.

Always use the targeted tools. If the post belongs to a specific user, use list_user_posts. It narrows the scope immediately and saves calls.

Treating data as immutable

Assuming a user's profile cannot change, so they only read data. This prevents building real-world agent logic that needs to react to profile updates.

Use the update tools. If you need to change a user's status or content, use update_user or update_post. Your agent needs to know how to change things, not just read them.

When It Fits, When It Doesn't

Use this server if your primary goal is testing the workflow and logic of an AI agent—the sequence of calls, the handling of data structures, and the flow control. You need a reliable source of mock data for users, posts, and comments, and the tools are designed for full CRUD simulation.

Don't use this if you need real-time data from a live production environment, or if you need to connect to a specific third-party service (like Stripe or Slack). For live data, connect your agent to the actual service API. If you only need to read static data for development, any basic REST endpoint will suffice, but GoRest gives you full, structured relational data modeling to practice with.

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

VINKIUS INFRASTRUCTURE

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Policy on every call

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How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 23 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

create_comment create_post create_post_comment create_todo create_user create_user_post create_user_todo delete_post delete_user get_comment get_post get_todo get_user list_comments list_post_comments list_posts list_todos list_user_posts list_user_todos list_users replace_user update_post update_user

Manually checking content dependencies is a nightmare.

Today, if you want to see if a post is linked to a user, or if a comment belongs to a specific post, you're clicking through dashboards, manually checking IDs, and copy-pasting relationships into a spreadsheet. It's slow, and you'll inevitably miss a dependency.

With GoRest, your agent just asks the question. You use tools like `list_user_posts` or `list_post_comments` to instantly pull the full, structured relationship. Your agent gets the data, and you get the answer. No clicks required.

GoRest MCP Server: Full CRUD for Content and Users

Before, updating a user profile meant hitting three different forms: the main profile, the preferences tab, and the security settings. You'd have to manually update each record and hope they didn't conflict.

Now, your agent handles it in one go. Use `update_user` to handle partial profile changes, and `update_post` to revise content. It makes the process reliable and repeatable.

Common Questions About GoRest MCP

How do I get a list of all users in GoRest? +

Use the list_users tool. This tool fetches all available user profiles, allowing your agent to iterate through the full list of users.

Does the `create_user_post` tool require a user ID? +

Yes, this tool requires the ID of the user who owns the post. It links the new post record directly to the specified user ID.

What is the difference between `create_post` and `create_user_post` in GoRest? +

The create_post tool creates a general post that doesn't automatically assign it to a user. create_user_post forces the post to belong to a specific user, maintaining a clear ownership record.

Can I list comments for a specific post in GoRest? +

Yes, use the list_post_comments tool. This lets you target comments directly to a post ID, ignoring all other post discussions.

How do I delete a user in GoRest? +

Use the delete_user tool. This removes the user profile and, depending on the underlying logic, should also clean up associated content.

What do I need to use the `create_comment` tool? +

You must provide authentication. The tool requires credentials to add a comment. You'll need to pass the necessary authorization token for the operation to succeed.

How do I fetch details for a single user using `get_user`? +

You pass the specific user ID to the get_user tool. This returns all attributes for that single user, allowing you to check their status or gender.

What is the difference between `list_comments` and `list_post_comments`? +

Use list_comments to fetch all comments across the entire platform. Use list_post_comments when you only want to see comments attached to one specific post.

Can I filter users by their status or gender using this server? +

Yes! The list_users tool supports optional filters for name, email, gender, and status, allowing you to narrow down the results easily.

Is it possible to perform partial updates on a user profile? +

Absolutely. Use the update_user tool to modify specific fields like email or status without needing to provide the entire user object.

How can I view all comments across the platform? +

You can use the list_comments tool, which supports pagination to help you browse through all recorded comments in the system.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

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