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Connect ReqBin to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Verify your JSON payloads and debug request structures instantly.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through ReqBin.

  1. 01

    Echo post JSON

    This capability sends JSON data to ReqBin and returns the exact same payload as an echo response. Use it to inspect how your agent formats data like IDs or prices.

Real work

What teams actually run

01

Schema Validation

Confirm that the JSON your agent generates matches the schema required by your target API.

02

Debugging Agent Logic

Check if your agent is correctly mapping variables to specific JSON keys.

03

Connectivity Checks

Verify that your MCP connection is active using default sample data.

04

Data Type Testing

Ensure that prices and quantities are being sent as numbers rather than strings.

Automate a task

Put ReqBin to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

ReqBin works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put ReqBin to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

906ms average. Fast in production.

ReqBin is checked daily against the live service.

Daily averagePeak 1317ms
Oct 3Today
Fastest day
678ms
Slowest day
1317ms
14-day trend
Improving-31%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of ReqBin, so you can see the experience inside your AI.

It does not authenticate your account with ReqBin. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

ReqBin Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_aR9WI4Mp6olzIvTKIzYgIY1lPabc2yalWWCXXHI5/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — ReqBin capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "reqbin-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_aR9WI4Mp6olzIvTKIzYgIY1lPabc2yalWWCXXHI5/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up ReqBin in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work ReqBin owners hand off.

This MCP is built for technical users who need to validate data structures without the overhead of manual testing.

  • 01

    Developers

    They use it to confirm their AI agent builds correct JSON objects before connecting to live APIs.

  • 02

    QA Engineers

    They test request and response cycles without building custom mock servers.

  • 03

    Integrators

    They ensure payload structures match expected schemas during capability-calling development.

FAQ

Questions ReqBin owners ask.

  • 01

    Do I need an API key for ReqBin?

    No, the public echo endpoint does not require complex API keys for basic testing.

  • 02

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 03

    What can I test with the echo capability?

    You can test JSON payloads containing IDs, quantities, prices, and any other custom data structures.

  • 04

    How does this help with debugging?

    It allows your agent to see exactly how its generated JSON is formatted by echoing the data back to the client.

  • 05

    Is this a mock server?

    It functions as a reliable echo service that acts like a mock endpoint for validating request structures.

  • 06

    Can I send custom fields like Price and Quantity to the echo service?

    Yes! Use the echo_post_json capability. You can optionally provide an Id, Quantity, and Price. The server will send these to ReqBin and return the echoed JSON so you can verify the structure.

  • 07

    What happens if I run the echo capability without any parameters?

    If no specific fields are provided, the echo_post_json capability sends a default payload (Id: 78912, Quantity: 1, Price: 18.00) to verify that the connection to ReqBin is working correctly.

  • 08

    Is this capability intended for production data storage?

    No. This is a debugging and testing capability. It uses ReqBin's Echo API to reflect back the data you send, making it ideal for verifying that your AI agent is formatting JSON requests correctly.

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