KiHustle MCP Tool Parser

x402

KiHustle MCP Tool Parser 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).

Parses and processes MCP (Model Context Protocol) tool definitions or related text inputs, returning a structured result

Price / call$0.002

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Success—

StatusUnknown

How this service works

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Output

Returns a JSON object with a 'result' field (containing the parsed output) and a 'status' field indicating success or failure of the parsing operation.

Example use cases

Parse raw MCP tool spec

“I have this raw tool definition text — 'tool: email_sender, description: sends email, input: {to: string, body: string}' — can you run it through the MCP tool parser and tell me what it extracts?”

Validate AI agent tool config

“I wrote a tool config description for my AI agent and I want to check if the MCP tool parser can make sense of it — here's the text: 'tool: invoice_generator, version: 1.0, input: {client_name: string, amount: number}'”

Extract tool metadata for automation pipeline

“Can you send this tool spec text through the MCP tool parser so I can get back the structured fields I need for my automation workflow? The text is: 'tool: data_scraper, input: {url: string}, output: {content: string}'”

Technical details

Endpoint

POSThttps://kihustle.tech/nexus/api/v1/mcp-tool-parser?utm_source=zero.xyz

When to prefer

Use this endpoint when you need to parse or extract structured information from MCP (Model Context Protocol) tool definition text. It is suited for developer automation workflows that deal with AI tool specifications and need a lightweight parsing step.

Side effects

Empty or missing 'text' field returns an error or empty result
Malformed or unrecognizable tool definition text may yield incomplete parsing
Network or server errors returning non-200 HTTP responses
Payment failure via x402 protocol blocking request execution

Input

Schema · Request body

Field	Type	Description
text	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "result": "processed",
    "status": "success"
  }
}

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