Server definition

Hash: sha256:bb916ce614c85d7908386ed5fcbef2639b76a1dab2b45d8c404bb2778d09f461
What it is: What a remote MCP server returned when asked what it offers: 4 tools

The blob, as servednamed by its sha256

{
  "instructions": "Jsonaut repairs malformed JSON. Use repair_json for broken output from tool calls or other agents; pass a JSON Schema to also enforce structure. Deterministic repair is free; set allow_llm_fallback=true only when you can pay via x402.",
  "tools": [
    {
      "description": "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.",
      "inputSchema": {
        "properties": {
          "allow_llm_fallback": {
            "default": false,
            "description": "Permit the paid LLM extraction tier",
            "type": "boolean"
          },
          "input": {
            "description": "Text that may contain JSON",
            "type": "string"
          },
          "schema": {
            "description": "Optional JSON Schema the output must conform to",
            "type": "object"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "name": "extract_json",
      "outputSchema": null
    },
    {
      "description": "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.",
      "inputSchema": {
        "properties": {
          "as_samples": {
            "default": false,
            "description": "Treat a top-level array as multiple samples of one shape",
            "type": "boolean"
          },
          "input": {
            "description": "A JSON value (or array of samples) to infer a schema from",
            "type": "string"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "name": "infer_schema",
      "outputSchema": null
    },
    {
      "description": "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).",
      "inputSchema": {
        "properties": {
          "allow_llm_fallback": {
            "default": false,
            "description": "Permit the paid LLM repair tier",
            "type": "boolean"
          },
          "input": {
            "description": "The possibly-malformed JSON text",
            "type": "string"
          },
          "schema": {
            "description": "Optional JSON Schema the output must conform to",
            "type": "object"
          }
        },
        "required": [
          "input"
        ],
        "type": "object"
      },
      "name": "repair_json",
      "outputSchema": null
    },
    {
      "description": "Validate a JSON string against a JSON Schema. Free. Returns validity and a list of violations.",
      "inputSchema": {
        "properties": {
          "input": {
            "description": "The JSON text to validate",
            "type": "string"
          },
          "schema": {
            "description": "The JSON Schema to validate against",
            "type": "object"
          }
        },
        "required": [
          "input",
          "schema"
        ],
        "type": "object"
      },
      "name": "validate_json",
      "outputSchema": null
    }
  ]
}

Verify it yourself

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