jsonaut
Repair malformed JSON from LLM/agent output; optional JSON Schema coercion. Free + x402 paid.
我該用這個嗎
品質與安全性
根據工具定義與協定合規性的自動化分析。
上下文成本
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"jsonaut": {
"url": "https://jsonaut.jsonaut-shaurya.workers.dev/mcp"
}
}
}遠端端點
https://jsonaut.jsonaut-shaurya.workers.dev/mcpstreamable-http它能做什麼
工具清單
工具（4）
⚪repair_json(input, schema, allow_llm_fallback)
Repair malformed JSON (trailing commas, single quotes, truncation, markdown fences, comments, python literals) and optionally validate/coerce it against a JSON Schema. Deterministic repair is free. If it fails and allow_llm_fallback is true, a paid LLM repair is attempted (requires x402 payment; charged only on success).
輸入結構描述
{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The possibly-malformed JSON text"
},
"schema": {
"type": "object",
"description": "Optional JSON Schema the output must conform to"
},
"allow_llm_fallback": {
"type": "boolean",
"default": false,
"description": "Permit the paid LLM repair tier"
}
},
"required": [
"input"
]
}🟢validate_json(input, schema)
Validate a JSON string against a JSON Schema. Free. Returns validity and a list of violations.
輸入結構描述
{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "The JSON text to validate"
},
"schema": {
"type": "object",
"description": "The JSON Schema to validate against"
}
},
"required": [
"input",
"schema"
]
}🟢extract_json(input, schema, allow_llm_fallback)
Extract JSON embedded in arbitrary text — LLM prose, chat messages, logs, emails — then repair and validate it. Deterministic extraction is free. If no JSON can be located and allow_llm_fallback is true, a paid LLM extracts structured data from the text (requires x402 payment; charged only on success). Pass a JSON Schema to shape the output.
輸入結構描述
{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "Text that may contain JSON"
},
"schema": {
"type": "object",
"description": "Optional JSON Schema the output must conform to"
},
"allow_llm_fallback": {
"type": "boolean",
"default": false,
"description": "Permit the paid LLM extraction tier"
}
},
"required": [
"input"
]
}🟡infer_schema(input, as_samples)
Infer a JSON Schema (draft 2020-12) from an example JSON value. Free and deterministic. Set as_samples=true when the input is an array of example objects of the same shape to merge them into one schema. Turns sample agent/tool output into a reusable schema.
輸入結構描述
{
"type": "object",
"properties": {
"input": {
"type": "string",
"description": "A JSON value (or array of samples) to infer a schema from"
},
"as_samples": {
"type": "boolean",
"default": false,
"description": "Treat a top-level array as multiple samples of one shape"
}
},
"required": [
"input"
]
}社群
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