Use Zod Error Flattener with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Transforms complex, deeply nested ZodError objects into flat, field-centric error dictionaries for UI consumption.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete Zod Error Flattener capability set.
These are the exact actions your AI can choose when you ask it to work with Zod Error Flattener.
01-03
3 capabilities in this set.
Part of 3 available through Zod Error Flattener.
- 01
Identify problematic fields
Determine which specific fields in a schema are experiencing the highest frequency of validation failures
- 02
Validate error format
Verify that a provided JSON object conforms to the expected Zod error structure
- 03
Flatten zod error
Transform a raw Zod error object into a flattened, user-friendly dictionary
Observed, not estimated
643ms average. Fast in production.
Zod Error Flattener is checked daily against the live service.
- Fastest day
- 520ms
- Slowest day
- 757ms
- 14-day trend
- Stable-3%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive 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 Zod Error Flattener, so you can see the experience inside your AI.
It does not authenticate your account with Zod Error Flattener. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Zod Error Flattener Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_ZZURWD2TBhpUyHRXq9w5JE1y664r0NcMk1Mw8q4E/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Zod Error Flattener capabilities are ready to use.
{
"mcpServers": {
"zod-schema-error-flattener-mcp": {
"url": "https://edge.vinkius.com/vk_preview_ZZURWD2TBhpUyHRXq9w5JE1y664r0NcMk1Mw8q4E/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
FAQ
Questions Zod Error Flattener owners ask.
- 01
What does this MCP server do?
It takes raw, nested ZodError JSON objects and flattens them into a simple dictionary where each key is a field name and the value is an array of error messages.
- 02
How can I identify which fields are failing most often?
You can use the identify_problematic_fields capability. It analyzes flattened errors and returns a ranked list of fields based on their failure frequency.
- 03
Do I need to provide an API key?
No, this MCP server does not require any external API keys or authentication. It processes the JSON data you provide directly.
Explore
More in Developer Tools
LLM Output JSON Extractor AI Connector
Isolates valid JSON objects from mixed markdown/text LLM outputs using deterministic bracket-matching.
ViewTool Interface Contract Validator AI Connector
Ensures tool implementations strictly adhere to declared input and output schemas via deterministic fuzz testi
ViewVercel AI SDK Stream Parser AI Connector
Deterministic parser for Vercel AI SDK 3.0 Data Stream protocol chunks.
ViewOpenAPI Context Window Packer AI Connector
Prune massive OpenAPI specs to fit within LLM context windows.
View
Suggestions
Markdown Table to JSON Converter AI Connector
Convert GitHub-flavored Markdown tables into structured JSON arrays of objects.
ViewAgent Self-Reflection Sentiment Scanner AI Connector
Analyzes agent execution logs to detect self-correction markers and measure stability.
ViewOutlier Detection Engine AI Connector
Identify statistical anomalies in massive datasets local using deterministic Z-Score and IQR methods. Stop LLM
ViewJapanese Dajare Validator AI Connector
Detect phonetic puns (Dajare) in Japanese phrases by analyzing moraic structures.
View
