ReqBin Connector for AI agents.
1 live capability
Validate API request structures and JSON payloads in real-time.
Waiting for input…
Why people use ReqBin
ReqBin for API Request Validation and JSON Debugging
This Connector changes that. You just ask your agent to send the payload to ReqBin. It echoes the data back to you instantly. You can see the raw JSON, spot the error, and fix your prompt or capability definition in seconds. You get immediate clarity without hitting a single live endpoint.
What Vinkius changes
You get a perfect mirror of your request data to ensure your agent is behaving.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Debugging failed profile updates
An agent keeps failing to update a user profile.
- Real-world use case 02
Validating multi-step workflows
Building a complex chain of actions.
- Real-world use case 03
Testing new capability definitions
Testing a new capability for a production API.
Complete set · 1capability
The complete ReqBin capability set.
These are the exact actions your AI can choose when you ask it to work with ReqBin.
01
1 capability in this set.
Part of 1 available through ReqBin.
- 01 Capability
Echo post json
Sends a JSON payload to ReqBin and returns it exactly as it was received. Use this to see if your agent is correctly constructing the request body.
Set up in minutes
One URL. Then ask ReqBin to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ReqBin from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_aR9WI4Mp6olzIvTKIzYgIY1lPabc2yalWWCXXHI5/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it ReqBin, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ReqBin for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_aR9WI4Mp6olzIvTKIzYgIY1lPabc2yalWWCXXHI5/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the ReqBin URL.
- Step 03
Save and start
Save the connection and enable ReqBin in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"reqbin": {
"url": "https://edge.vinkius.com/vk_preview_aR9WI4Mp6olzIvTKIzYgIY1lPabc2yalWWCXXHI5/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using ReqBin
Open Agent mode in chat and ask: "Using ReqBin, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"reqbin": {
"url": "https://edge.vinkius.com/vk_preview_aR9WI4Mp6olzIvTKIzYgIY1lPabc2yalWWCXXHI5/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using ReqBin
Ask Copilot: "Using ReqBin, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"reqbin": {
"url": "https://edge.vinkius.com/vk_preview_aR9WI4Mp6olzIvTKIzYgIY1lPabc2yalWWCXXHI5/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using ReqBin
Open Cascade and ask: "Using ReqBin, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"reqbin": {
"url": "https://edge.vinkius.com/vk_preview_aR9WI4Mp6olzIvTKIzYgIY1lPabc2yalWWCXXHI5/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using ReqBin
Ask Cline: "Using ReqBin, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add reqbin --transport http "https://edge.vinkius.com/vk_preview_aR9WI4Mp6olzIvTKIzYgIY1lPabc2yalWWCXXHI5/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using ReqBin
Ask Claude: "Using ReqBin, show me...". 1 tools are ready
Where the request belongs
Work ReqBin can move forward.
Developers and QA engineers who are tired of guessing why an API call failed. It's for the person who needs to know if the JSON is valid before it hits a real database.
Backend Developer
Debugging complex nested JSON objects during capability integration on a Tuesday afternoon.
QA Engineer
Verifying that different data types like floats and strings are being passed correctly.
Integration Specialist
Mapping data fields between two different systems without using a mock server.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Treblle
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Reqres
Test your front-end against a real API. manage users, resources, and project records for prototyping and testing.
Moesif
Monitor and analyze API traffic with Moesif. log events, track user/company profiles, and query API analytics directly from your AI agent.
Bring your own AI
Change the model, client or framework. Keep ReqBin connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
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Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about ReqBin.
The practical details behind the request, access and result.
What does ReqBin do for my AI agent?
It acts as a mirror for JSON data. Your agent sends a request, and ReqBin sends it right back so you can see exactly what was sent.
Can I use ReqBin to test my production APIs?
No, this is for debugging request structures. It echoes back what you send it rather than hitting a real backend.
How does ReqBin help with JSON debugging?
It shows you the raw JSON your agent builds. This helps you find missing quotes, wrong data types, or incorrect nesting instantly.
Do I need an API key for ReqBin?
No, the public echo endpoint doesn't require complex keys, making it easy to connect to your AI client quickly.
Is ReqBin good for testing complex capability calls?
Yes, it's great for verifying the payload structure of complex capabilities before you connect them to real services.
How is ReqBin different from a mock server?
A mock server provides fake data; ReqBin just reflects your own data back to you. It's faster for simple verification.
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.
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.
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.
One connection away
Give your agent a direct line to ReqBin.
Connect ReqBin once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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