ValidationStation
AI powered, self healing JSON validator. Pay/call
README
Self-Healing JSON Validator — MCP Server
Production-grade JSON repair and validation for agent pipelines. Automatically fixes malformed LLM output using Gemini, then validates against your JSON Schema. Built for agents that need data integrity without human intervention.
$0.025 per successful call. Fully automated. No humans involved.
Why This Exists
LLMs generate broken JSON constantly — trailing commas, unquoted keys, truncated strings, wrong types. Passing that output raw to an API or database causes hard crashes and silent data corruption. This tool is the safety net between your generator and your consumers.
How It Works
Every call runs through three stages:
raw_input
│
▼
Stage 1: Strict JSON parse → PASS → Stage 3
│ FAIL
▼
Stage 2: LLM repair (Gemini) → re-parse → PASS → Stage 3
│ FAIL
▼
REPAIR_PARSE_FAILURE error with remediation instructions
Stage 3: JSON Schema validation → PASS → ✅ validated_data returned
│ FAIL
▼
SCHEMA_VALIDATION_FAILURE error with per-field error list
Getting Started
1. Register for an API key
curl -X POST https://mcp-json-validator-production.up.railway.app/register \
-H "Content-Type: application/json" \
-d '{"email": "you@example.com"}'
Returns:
{
"api_key": "mcpjv_...",
"checkout_url": "https://checkout.stripe.com/...",
"billing": "Metered — $0.025 per successful call, billed monthly via Stripe."
}
Visit the checkout_url to add your payment method. Your key works immediately.
2. Connect to the MCP server
https://mcp-json-validator-production.up.railway.app/sse
3. Call the tool
{
"tool": "sanitize_and_validate_json",
"arguments": {
"api_key": "mcpjv_your_key_here",
"raw_input": "{'name': 'Alice', 'age': '30', scores: [95, 87,]}",
"target_schema": {
"type": "object",
"required": ["name", "age", "scores"],
"properties": {
"name": { "type": "string" },
"age": { "type": "integer" },
"scores": { "type": "array", "items": { "type": "number" } }
}
}
}
}
Response:
{
"status": "valid",
"repair_applied": true,
"validated_data": { "name": "Alice", "age": 30, "scores": [95, 87] },
"message": "JSON is valid and satisfies the target schema. Syntax was automatically repaired."
}
Error Codes
| Code | Meaning | What to do |
|---|---|---|
FORBIDDEN |
Invalid or missing api_key | Register at /register |
EMPTY_INPUT |
raw_input was empty | Check upstream step produced output |
INVALID_SCHEMA |
target_schema missing or not an object | Fix schema definition |
MALFORMED_SCHEMA |
target_schema fails JSON Schema meta-validation | Check for typos in schema keywords |
REPAIR_PARSE_FAILURE |
LLM repair failed to produce valid JSON | Regenerate raw_input from scratch |
REPAIR_UNAVAILABLE |
Repair stage unavailable | Check server status |
SCHEMA_VALIDATION_FAILURE |
JSON valid but structure wrong | Read validation_errors, fix and retry |
Self-Healing Loop Pattern
When you receive SCHEMA_VALIDATION_FAILURE, feed the errors back to your generator:
Your previous output had these schema violations:
<validation_errors from tool response>
Regenerate the JSON correcting every violation listed above.
Then call the tool again. Limit retries to 3 before escalating.
Endpoints
| Endpoint | Method | Purpose |
|---|---|---|
/sse |
GET | MCP connection point |
/register |
POST | Get an API key |
/health |
GET | Server health check |
/.well-known/mcp/server-card.json |
GET | Smithery discovery |
Pricing
$0.025 per successful call, billed monthly via Stripe. You are only charged when the tool returns status: valid. Failed calls (auth errors, schema errors) are free.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.