JSON Schema Validator Connector for AI agents.
1 live capability
Stop LLM hallucinations from breaking your function calling workflows.
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Why people use JSON Schema Validator
Stop LLM hallucinations with JSON Schema Function Call Validator
Instead of a clean execution, you get a cascade of 500 errors and broken database entries because the JSON was malformed.
What Vinkius changes
You stop broken function calls from crashing your downstream services.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Broken API calls in production
An agent tries to call a weather API but sends 'London' as an integer.
- Real-world use case 02
Hallucinated parameters in complex schemas
Your agent adds a 'format' field that does not exist in your schema.
- Real-world use case 03
Missing required fields in multi-step workflows
A developer needs all user IDs present in a batch update.
Complete set · 1capability
The complete JSON Schema Validator capability set.
These are the exact actions your AI can choose when you ask it to work with JSON Schema Validator.
01
1 capability in this set.
Part of 1 available through JSON Schema Validator.
- 01 Capability
Validate function call
Checks a JSON payload against your schema to find errors. It identifies missing, extra, or incorrectly typed parameters immediately.
Set up in minutes
One URL. Then ask JSON Schema Validator to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use JSON Schema Validator 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_21yoFjCa6YURZm8sCCyeJadvPgEYlKfXVV7HUnII/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 JSON Schema Validator, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable JSON Schema Validator for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_21yoFjCa6YURZm8sCCyeJadvPgEYlKfXVV7HUnII/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 JSON Schema Validator URL.
- Step 03
Save and start
Save the connection and enable JSON Schema Validator in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"json-schema-function-call-validator": {
"url": "https://edge.vinkius.com/vk_preview_21yoFjCa6YURZm8sCCyeJadvPgEYlKfXVV7HUnII/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 JSON Schema Validator
Open Agent mode in chat and ask: "Using JSON Schema Validator, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"json-schema-function-call-validator": {
"url": "https://edge.vinkius.com/vk_preview_21yoFjCa6YURZm8sCCyeJadvPgEYlKfXVV7HUnII/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 JSON Schema Validator
Ask Copilot: "Using JSON Schema Validator, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"json-schema-function-call-validator": {
"url": "https://edge.vinkius.com/vk_preview_21yoFjCa6YURZm8sCCyeJadvPgEYlKfXVV7HUnII/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 JSON Schema Validator
Open Cascade and ask: "Using JSON Schema Validator, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"json-schema-function-call-validator": {
"url": "https://edge.vinkius.com/vk_preview_21yoFjCa6YURZm8sCCyeJadvPgEYlKfXVV7HUnII/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 JSON Schema Validator
Ask Cline: "Using JSON Schema Validator, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add json-schema-function-call-validator --transport http "https://edge.vinkius.com/vk_preview_21yoFjCa6YURZm8sCCyeJadvPgEYlKfXVV7HUnII/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 JSON Schema Validator
Ask Claude: "Using JSON Schema Validator, show me...". 1 tools are ready
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsJSON Schema Strict Validator
Perform deterministic JSON validation against Draft-07 and 2020-12 schemas with strict property enforcement.
JSON Schema Validator and Flattener
Strictly validate JSON against schemas and flatten nested structures using dot notation.
OpenAPI Validator Engine
Validate any OpenAPI or Swagger spec (2.0, 3.0, 3.1, 3.2) local before generating code from it. Returns version, validity, and every schema error with exact paths. Your spec quality gate.
Type Definition Consistency Checker
Ensure structural and type-level synchronization between TypeScript interfaces, Zod schemas, and Pydantic models.
JSON Schema Validator
Validate JSON documents and lint schemas for structural integrity.
JSON Payload Depth and Size Limiter
Validate JSON payloads against strict nesting depth and byte size constraints to prevent parser crashes.
Bring your own AI
Change the model, client or framework. Keep JSON Schema Validator connected.
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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 -
JetBrains -
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 JSON Schema Validator.
The practical details behind the request, access and result.
How can I prevent broken JSON in Claude?
Use this MCP to check every output against a schema. It catches errors before they break your downstream logic.
Does JSON Schema Function Call Validator detect extra fields?
Yes, it specifically flags any parameters that appear in the payload but are not defined in your provided schema.
Can I use this for debugging Cursor agent errors?
Absolutely. You can pass the outputs from your Cursor agent through this MCP to see exactly why a capability call is failing.
Will this MCP help with type mismatches in my agents?
Yes, it identifies when an agent sends a string where an integer or boolean is required by your schema.
How do I know if my agent is getting more reliable?
You can monitor the parameter validity percentage returned by the MCP to track improvements in your agent's accuracy over time.
What does the validator check for?
It checks for missing required parameters, type mismatches (like a string where an integer is expected), and hallucinated parameters that are not defined in your JSON Schema.
Can I use this to prevent hallucinations?
Yes. By using validate_function_call, you can detect when an LLM attempts to use parameters that do not exist in your schema, allowing you to catch hallucinations before they reach your downstream logic.
What format should the input be in?
The payloadJson and schemaJson must both be provided as valid JSON strings.
One connection away
Give your agent a direct line to JSON Schema Validator.
Connect JSON Schema Validator once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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