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KiHustle MCP Schema Converter
x402
KiHustle MCP Schema Converter is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-10).
Converts tool definitions (name, parameters, description) into a standardized MCP (Model Context Protocol) schema format
Price / call$0.002
Success—
StatusUnknown
How this service works
Kostenlose Guides, Solo-Playbooks und Artikel zu KI, Automation und Side Hustles — für Menschen, die mit echten Systemen online Einkommen aufbauen wollen. Transparent finanziert über faire Affiliate-Links.
Output
Returns a JSON object with a 'result' field containing the converted MCP schema and a 'status' field indicating success or failure of the conversion.
Example use cases
Convert OpenAI tool to MCP format
“I have an OpenAI-style function called 'getWeather' with a location string parameter and description 'Fetches current weather for a city' — can you convert it to a proper MCP schema?”
Standardize custom tool for agent pipeline
“I'm building an AI agent pipeline and need to convert my custom tool definition — name is 'searchDatabase', it takes a query string and limit integer, description is 'Searches the internal database' — please convert it to MCP schema format.”
Batch normalize tool specs for MCP registry
“I need to format a tool called 'summarizeText' with a text parameter (string) and description 'Summarizes long text into bullet points' into a valid MCP schema so I can register it in my MCP server.”
Technical details
Endpoint
POSThttps://kihustle.tech/nexus/api/v1/mcp-schema-converter?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to convert existing tool definitions (with name, parameters, and description) into MCP-compliant schema format for use in Model Context Protocol servers or agent frameworks. Prefer this when you are building MCP-compatible AI agent pipelines and need a quick, paid micro-service conversion rather than implementing the schema transformation manually.
Side effects
- Missing required 'name' field returns error
- Malformed 'parameters' object causes processing failure
- Empty description may result in incomplete schema output
- Invalid JSON in parameters schema triggers validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| name | string | |
| parameters | object | |
| description | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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