IA-QA Data & Dev — 36 tools

Dev utilities for agents: JSON/YAML/CSV, schema validation, encoding, text & time. Free, no key.

¿Debería usar esto?

Calidad y seguridad

B
Calidad de la descripción
96%
Integridad del esquema
99%
Calidad de los nombres
85%
Riesgo de envenenamiento
60%
Coincidencia de permisos
80%
Cumplimiento del protocolo
100%

Hallazgos (9)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool 'rate_tool' description contains placeholder texten rate_tool
  • MEDIUMTool 'lorem_ipsum' description contains placeholder texten lorem_ipsum
  • LOWTool 'flatten_json' description lacks action verben flatten_json
  • LOWTool 'base64_encode' description lacks action verben base64_encode
  • LOWTool 'url_encode' suggests web access but openWorldHint=falseen url_encode
  • LOWTool 'url_decode' suggests web access but openWorldHint=falseen url_decode
  • INFOTool description contains placeholder or incomplete texten rate_tool
  • INFOTool description contains placeholder or incomplete texten lorem_ipsum

Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.

Costo de contexto

~7,350Tokens (definiciones de herramientas)
~1.2 KBTamaño de respuesta típico
Impacto significativo en la atención (5.74% del contexto de 128k)

Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.

Instalar

Instalación con un clic

Agrega esto a tu archivo `claude_desktop_config.json`:

{
  "mcpServers": {
    "ia-qa-data": {
      "url": "https://www.ia-qa.com/mcp/data"
    }
  }
}

Puntos de conexión remotos

https://www.ia-qa.com/mcp/datastreamable-http

Qué puede hacer

Inventario de herramientas

Herramientas (36)

🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢find_tool(query, category, with_schema, max_results)

Search available MCP tools by keyword or category before calling them. Returns matching tool names, descriptions, and optionally their inputSchemas. Call this when you are unsure which tool to use or want to explore the catalogue. Categories: data, encoding, text, llm, qa, rag, dev, security, web.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Keyword(s) to search in tool name and description (e.g. \"cors\", \"token\", \"vector\", \"json\")"
    },
    "category": {
      "type": "string",
      "description": "Optional: filter by category — data | encoding | text | llm | qa | rag | dev | security | web"
    },
    "with_schema": {
      "type": "boolean",
      "description": "Set true to include inputSchema in results (default: false)"
    },
    "max_results": {
      "type": "number",
      "description": "Maximum tools to return (default 10, max 50). Results are ranked by IDF-weighted relevance, so common words like \"test\" do not inflate the list."
    }
  },
  "required": [
    "query"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "tool": {},
    "score": {},
    "query": {},
    "category": {},
    "count": {
      "type": "number"
    },
    "total_matches": {
      "type": "number"
    },
    "truncated": {
      "type": "boolean"
    },
    "tools": {
      "type": "array"
    },
    "hint": {}
  },
  "additionalProperties": true
}
🟢diff_text(a, b, context)

Compute a unified line-by-line diff between two text strings (LCS algorithm). Returns added/removed/unchanged line counts and formatted diff hunks with configurable context lines (0–20). Use to compare versions of prompts, configs, code snippets, or any text where you need to see exactly what changed.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "a": {
      "type": "string",
      "description": "Original (before) text"
    },
    "b": {
      "type": "string",
      "description": "Modified (after) text"
    },
    "context": {
      "type": "number",
      "description": "Context lines around each change (0–20, default: 3)"
    }
  },
  "required": [
    "a",
    "b"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "diff": {
      "type": "string"
    },
    "added": {
      "type": "number"
    },
    "removed": {
      "type": "number"
    },
    "unchanged": {
      "type": "number"
    }
  },
  "additionalProperties": true
}
🟢rate_tool(tool_name, score, comment)

Give honest usage feedback on an IA-QA MCP tool. Provide a score (1-5) and a comment. Rate low (1-2) if the tool was wrong, irrelevant, or a poor fit; rate high (4-5) only if it genuinely solved your need. Ratings are read by the IA-QA maintainers and are not published, one vote per agent and tool a month. Comments are screened before storing: one carrying a credential is not stored and personal data is replaced by placeholders — describe what happened rather than what a model should do. Skip rating routine successes — we want signal, not praise. Example: rate_tool({ tool_name: "format_json", score: 2, comment: "Tried to pretty-print a JSON5 file, it rejected trailing commas — not usable for my case." })

Esquema de entrada

{
  "type": "object",
  "properties": {
    "tool_name": {
      "type": "string",
      "description": "Name of the MCP tool to rate (e.g. \"format_json\", \"shield_analyze\")"
    },
    "score": {
      "type": "number",
      "description": "Rating from 1 (poor) to 5 (excellent)",
      "minimum": 1,
      "maximum": 5
    },
    "comment": {
      "type": "string",
      "description": "Strongly encouraged — explain what you were trying to do and whether the tool got you there. Be specific about what was missing, wrong, or a poor fit. This is the most valuable part of the rating. Up to 2000 chars are stored; go over and the response says so (truncated: true) — send the remainder as a second call rather than assuming it landed."
    }
  },
  "required": [
    "tool_name",
    "score"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "ok": {
      "type": "boolean"
    },
    "tool_name": {},
    "score": {},
    "comment": {},
    "truncated": {
      "type": "boolean"
    },
    "stored_chars": {
      "type": "number"
    },
    "rated_at": {
      "type": "string"
    },
    "message": {
      "type": "string"
    }
  },
  "additionalProperties": true
}
🟢validate_email(email)

Validate an email address against RFC 5322 syntax before storing it, sending a transactional email, or adding it to a mailing list. Returns { valid, email } — use this to avoid bounces and malformed data.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "email": {
      "type": "string",
      "description": "Email address to validate"
    }
  },
  "required": [
    "email"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "valid": {
      "type": "boolean"
    },
    "email": {},
    "reason": {
      "type": "string"
    }
  },
  "additionalProperties": true
}
🟢decode_jwt(token)

Decode a JWT (JSON Web Token) and return its header and payload without verifying the signature. Also reports whether the token is expired and the exact expiry date. Use to inspect claims (sub, iss, exp, roles) during debugging or when integrating with an auth provider.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "token": {
      "type": "string",
      "description": "The JWT string to decode (header.payload.signature)"
    }
  },
  "required": [
    "token"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "header": {},
    "payload": {},
    "expired": {},
    "expiresAt": {},
    "note": {
      "type": "string"
    }
  },
  "additionalProperties": true
}
🟢timestamp_convert(input)

Convert between Unix timestamps (seconds or milliseconds) and ISO-8601 / UTC date strings. Auto-detects epoch vs. millisecond format. Omit input to get the current time. Returns iso, unix_s, unix_ms, utc, date, and time fields.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "description": "Unix timestamp (number, seconds or ms) or ISO date string. Omit to get the current time."
    }
  }
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "iso": {
      "type": "string"
    },
    "unix_s": {
      "type": "number"
    },
    "unix_ms": {
      "type": "number"
    },
    "utc": {
      "type": "string"
    },
    "date": {
      "type": "string"
    },
    "time": {
      "type": "string"
    }
  },
  "additionalProperties": true
}
🟢cron_parse(expression)

Parse a cron expression into a human-readable schedule description. Supports standard 5-field cron (minute hour day month weekday).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "expression": {
      "type": "string",
      "description": "Cron expression (e.g., \"0 9 * * 1-5\", \"*/15 * * * *\")"
    }
  },
  "required": [
    "expression"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "expression": {},
    "fields": {
      "type": "object"
    },
    "human_readable": {
      "type": "string"
    }
  },
  "additionalProperties": true
}
🟢count_code_lines(input, language)

Count lines of code: total, code lines, comment lines, blank lines, and comment density. Supports JS/TS, Python, Java/C/C++, Ruby, Go, Shell, HTML/XML, and CSS.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "Source code to analyze"
    },
    "language": {
      "type": "string",
      "description": "Language hint: \"js\", \"ts\", \"py\", \"java\", \"c\", \"rb\", \"go\", \"sh\", \"html\", \"css\" (auto-detect if omitted)"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "total_lines": {},
    "code_lines": {},
    "comment_lines": {},
    "blank_lines": {},
    "comment_density": {},
    "code_to_comment_ratio": {
      "type": "string"
    },
    "language": {}
  },
  "additionalProperties": true
}
🟢lint_commit_message(message, strict)

Validate a git commit message against the Conventional Commits spec (feat, fix, docs, style, refactor, test, chore, ci, perf, build). Returns compliance score, breaking change detection, and actionable suggestions.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "message": {
      "type": "string",
      "description": "Git commit message to validate"
    },
    "strict": {
      "type": "boolean",
      "description": "Enforce strict rules: max 72-char subject, imperative mood check (default: false)"
    }
  },
  "required": [
    "message"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "valid": {
      "type": "boolean"
    },
    "score": {
      "type": "number"
    },
    "is_breaking_change": {
      "type": "boolean"
    },
    "type": {},
    "scope": {},
    "subject": {},
    "has_body": {
      "type": "boolean"
    },
    "checks": {}
  },
  "additionalProperties": true
}
🟢env_parse(input)

Parse a .env file content into a JSON object. Handles quoted values (single and double), inline comments, export prefix, and escaped sequences (\n, \t inside double quotes). Returns all key-value pairs. Use in CI/CD pipelines, agent config loaders, or when processing dotenv files programmatically.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": ".env file content to parse (e.g. the output of `cat .env`)"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "vars": {},
    "count": {
      "type": "number"
    }
  },
  "additionalProperties": true
}
🟢openapi_validate(input)

Validate the structure of an OpenAPI 3.x specification (JSON or YAML). Checks required top-level fields (openapi, info.title, info.version, paths), validates each operation (responses, operationId uniqueness), detects undeclared $ref components, and flags missing 2xx responses. Returns a PASS/FAIL verdict, a 0–100 compliance score, and a list of errors and warnings with JSON-pointer locations. Use before publishing an API spec or generating SDK code.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The OpenAPI 3.x spec — a JSON string, a YAML string, or the already-parsed spec object."
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "verdict": {},
    "score": {
      "type": "number"
    },
    "errors": {},
    "warnings": {},
    "stats": {
      "type": "object"
    }
  },
  "additionalProperties": true
}
🟢generate_slug(input, separator)

Convert any string into a URL-friendly slug: lowercase, ASCII-normalized (é→e), special characters removed, spaces replaced with hyphens. Use for generating SEO-friendly URL paths, file names, or identifier keys from user-provided titles or labels.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "String to slugify"
    },
    "separator": {
      "type": "string",
      "description": "Separator character (default: \"-\")"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "slug": {}
  },
  "additionalProperties": true
}
🟢format_json(input, indent)

Validate and pretty-print a string that is ALREADY valid JSON. Strict by design — it is a validity gate: valid JSON comes back formatted, anything else is rejected with the exact parse error. It never repairs, completes, or guesses. NOT for: plain text or prose (will fail), JSON embedded in markdown/prose (use extract_json_from_text first), JS objects (JSON.stringify them first), YAML (use yaml_to_json).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "A raw JSON string, e.g. '{\"key\":\"value\"}'. Must already parse as JSON — plain text or truncated JSON is rejected, not repaired."
    },
    "indent": {
      "type": "number",
      "description": "Indent size (default: 2)"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "formatted": {
      "type": "string"
    },
    "valid": {
      "type": "boolean"
    }
  },
  "additionalProperties": true
}
🟢parse_csv(input, delimiter, header)

Parse a CSV string into a JSON array of objects (or raw arrays). Full RFC 4180: quoted fields may contain the delimiter, embedded newlines (the Excel/Sheets multi-line cell), and doubled quotes. Custom delimiters supported. An unterminated quote is rejected with its position rather than parsed into corrupted rows. Use when processing spreadsheet exports, data imports, or structured text pipelines where the source is CSV. Supports up to 200 KB.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "CSV content to parse"
    },
    "delimiter": {
      "type": "string",
      "description": "Field delimiter character (default: \",\")"
    },
    "header": {
      "type": "boolean",
      "description": "Treat the first row as headers (default: true)"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "rows": {
      "type": "array"
    },
    "headers": {
      "type": "array"
    },
    "columns": {
      "type": "number"
    },
    "row_count": {
      "type": "number"
    }
  },
  "additionalProperties": true
}
🟢extract_json_path(input, path)

Extract a value from a JSON string using dot-notation path (e.g., "user.address.city", "items.0.name", "meta.tags"). Supports array index access via numeric path segments.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The JSON to traverse — a JSON string, or the object/array itself."
    },
    "path": {
      "type": "string",
      "description": "Dot-notation path, e.g. \"user.address.city\" or \"items.0.name\""
    }
  },
  "required": [
    "input",
    "path"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "value": {},
    "type": {},
    "path": {}
  },
  "additionalProperties": true
}
🟢json_schema_validate(value, schema)

Validate a JSON value against a JSON Schema (draft-07 subset). Supports type, required, properties, items, enum, const, pattern, format (email/uri/date/date-time/uuid), minimum/maximum, minLength/maxLength, minItems/maxItems, uniqueItems, additionalProperties, anyOf, allOf, oneOf, not, and local $ref (#/definitions/…, #/$defs/…). A schema using a keyword outside that list (patternProperties, if/then, dependencies, a remote $ref…) is never reported valid: the keyword is named in `unevaluated_keywords`. Returns all validation errors with dot-notation paths.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "value": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The JSON value to validate — a JSON string, or the value itself."
    },
    "schema": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The JSON Schema — a JSON string, or the schema object itself."
    }
  },
  "required": [
    "value",
    "schema"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "valid": {
      "type": "boolean"
    },
    "error_count": {
      "type": "number"
    },
    "errors": {
      "type": "array"
    }
  },
  "additionalProperties": true
}
🟢flatten_json(input, mode, separator)

Flatten a nested JSON object to single-level dot-notation keys (e.g. {"a":{"b":1}} → {"a.b":1}), or unflatten dot-notation keys back to a nested object. Supports custom separators.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The JSON to flatten or unflatten — a JSON string, or the object itself."
    },
    "mode": {
      "type": "string",
      "description": "\"flatten\" (default) or \"unflatten\""
    },
    "separator": {
      "type": "string",
      "description": "Key separator (default: \".\")"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "result": {},
    "key_count": {
      "type": "number"
    },
    "max_depth": {
      "type": "array"
    }
  },
  "additionalProperties": true
}
🟢xml_to_json(input, parse_values, ignore_attrs, attr_prefix)

Convert an XML string to a JSON object. Supports attributes, nested elements, arrays, CDATA, and namespaces. Options: parse numbers, parse booleans, ignore attributes.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "XML string to convert"
    },
    "parse_values": {
      "type": "boolean",
      "description": "Auto-parse numbers and booleans (default: true)"
    },
    "ignore_attrs": {
      "type": "boolean",
      "description": "Ignore XML attributes (default: false)"
    },
    "attr_prefix": {
      "type": "string",
      "description": "Prefix for attribute keys (default: \"@_\")"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "result": {},
    "key_count": {
      "type": "number"
    }
  },
  "additionalProperties": true
}
🟢mock_from_schema(schema, count, seed)

Generate realistic mock data from a JSON Schema. Supports all common types (string, number, integer, boolean, array, object, null), format hints (email, date, date-time, uri, uuid), enum, const, and nested schemas. Perfect for testing MCP tools with realistic data.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "schema": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The JSON Schema to generate from — a JSON string, or the schema object itself."
    },
    "count": {
      "type": "number",
      "description": "Number of mock objects to generate (default: 1, max: 20)"
    },
    "seed": {
      "type": "string",
      "description": "Optional seed string for deterministic output (uses first char codes)"
    }
  },
  "required": [
    "schema"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number"
    },
    "results": {}
  },
  "additionalProperties": true
}
🟢json_to_csv(input, delimiter, headers)

Convert a JSON array of objects to CSV format. Automatically detects columns from all object keys. Handles quoting and escaping per RFC 4180.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The array of objects to convert — a JSON string, or the array itself."
    },
    "delimiter": {
      "type": "string",
      "description": "Column delimiter (default: \",\")"
    },
    "headers": {
      "type": "boolean",
      "description": "Include header row (default: true)"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "csv": {
      "type": "string"
    },
    "rows": {
      "type": "number"
    },
    "columns": {
      "type": "number"
    },
    "column_names": {}
  },
  "additionalProperties": true
}
🟢json_diff(before, after, max_depth)

Compute a deep structural diff between two JSON values. Returns added, removed, and changed keys with dot-notation paths. Like git diff but for JSON objects — perfect for API response regression testing. Arrays are not compared blindly by position: the same elements in a different order collapse to a single "reordered" change, and an array of records sharing a stable identity field (id, uuid, key, name…) is matched by that field, so paths read [id=42] and a moved record is not reported as N rewrites.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "before": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The original JSON (before) — a JSON string, or the value itself."
    },
    "after": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The modified JSON (after) — a JSON string, or the value itself."
    },
    "max_depth": {
      "type": "number",
      "description": "Max nesting depth to recurse (default: 10)"
    }
  },
  "required": [
    "before",
    "after"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "identical": {
      "type": "boolean"
    },
    "added": {
      "type": "boolean"
    },
    "removed": {
      "type": "boolean"
    },
    "modified": {
      "type": "boolean"
    },
    "total_changes": {
      "type": "number"
    },
    "changes": {
      "type": "array"
    }
  },
  "additionalProperties": true
}
🟢json_to_yaml(input, indent)

Convert a JSON object to clean, human-readable YAML. Handles nested objects, arrays, multiline strings, and special characters. No external dependencies.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The JSON to convert to YAML — a JSON string, or the value itself."
    },
    "indent": {
      "type": "number",
      "description": "Indentation size in spaces (default: 2)"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "yaml": {},
    "lines": {
      "type": "number"
    }
  },
  "additionalProperties": true
}
🟢yaml_to_json(input, multi)

Parse a YAML string and return the equivalent JSON value. The reverse of json_to_yaml. Supports nested objects, arrays, anchors, aliases, multi-document streams, and all scalar types. Use when processing config files, CI/CD pipeline definitions, or OpenAPI specs authored in YAML.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "YAML string to parse"
    },
    "multi": {
      "type": "boolean",
      "description": "If true, parse all documents in a multi-document stream and return an array (default: false)"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "documents": {},
    "count": {
      "type": "number"
    },
    "json": {}
  },
  "additionalProperties": true
}
🟢json_schema_generate(input, required_all)

Infer a JSON Schema (draft-07) from a sample JSON value. Detects types, required fields, array item shapes, nested objects, and common string formats (email, uri, date, date-time, uuid). Returns a ready-to-use schema compatible with json_schema_validate. Use when you have a sample API response or LLM output and want to auto-generate a validation schema for CI/CD testing.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": [
        "string",
        "object",
        "array"
      ],
      "description": "The sample JSON value to infer the schema from — a JSON string, or the value itself."
    },
    "required_all": {
      "type": "boolean",
      "description": "Mark all detected object properties as required (default: true)"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "type": {
      "type": "string"
    },
    "format": {},
    "items": {
      "type": "object"
    },
    "schema": {
      "type": "object"
    }
  },
  "additionalProperties": true
}
🟢text_stats(input)

Compute comprehensive statistics for any text: character count (with and without spaces), word count, line count, sentence count, paragraph count, and estimated reading time in minutes. Sentence counting is abbreviation-aware — titles (Mr., Dr.), acronyms (U.S., i.e., p.m.), initials, decimals, URLs and emails do not end a sentence, and a text with no terminal punctuation still counts as one. Use for validating form field lengths, evaluating LLM output verbosity, or content auditing.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "The text to analyse"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "chars": {},
    "chars_no_space": {},
    "words": {},
    "lines": {},
    "sentences": {},
    "paragraphs": {},
    "reading_time_minutes": {}
  },
  "additionalProperties": true
}
🟢regex_test(pattern, input, flags)

Test a regular expression pattern against an input string and return all matches with their index positions and named capture groups. Use for validating user inputs, extracting structured data from text, or debugging regex patterns. Supports flags g, i, m, s, u, y. The match runs in an isolated thread with a 500 ms budget: a pattern that blows up (catastrophic backtracking, e.g. "(a+)+$") comes back as redos_detected:true — a real ReDoS verdict on your pattern — instead of hanging.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "pattern": {
      "type": "string",
      "description": "Regular expression pattern (without delimiters)"
    },
    "input": {
      "type": "string",
      "description": "The string to test against (max 50 KB)"
    },
    "flags": {
      "type": "string",
      "description": "Regex flags: g (global), i (case-insensitive), m (multiline), s (dotAll) — default: \"\""
    }
  },
  "required": [
    "pattern",
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "pattern": {},
    "flags": {},
    "matched": {},
    "match_count": {
      "type": "number"
    },
    "matches": {},
    "redos_detected": {
      "type": "boolean"
    },
    "elapsed_ms": {
      "type": "number"
    },
    "verdict": {},
    "note": {}
  },
  "additionalProperties": true
}
🟢lorem_ipsum(paragraphs, sentences_per_paragraph, words_per_sentence)

Generate Lorem Ipsum placeholder text for UI mockups, design prototypes, or test data population. Configurable paragraphs (1–10), sentences per paragraph (1–20), and approximate words per sentence (3–30).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "paragraphs": {
      "type": "number",
      "description": "Number of paragraphs to generate (1–10, default: 1)"
    },
    "sentences_per_paragraph": {
      "type": "number",
      "description": "Sentences per paragraph (1–20, default: 5)"
    },
    "words_per_sentence": {
      "type": "number",
      "description": "Approximate words per sentence (3–30, default: 10)"
    }
  }
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "paragraphs": {},
    "paragraph_count": {
      "type": "number"
    }
  },
  "additionalProperties": true
}
🟢case_convert(input, to)

Convert a string between naming conventions: camelCase, PascalCase, snake_case, kebab-case, UPPER_SNAKE_CASE, dot.case, Title Case. Essential for code generation and refactoring.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "String to convert (e.g., \"myVariableName\", \"my-css-class\")"
    },
    "to": {
      "type": "string",
      "description": "Target case: \"camel\", \"pascal\", \"snake\", \"kebab\", \"upper_snake\", \"dot\", \"title\""
    }
  },
  "required": [
    "input",
    "to"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "result": {},
    "from_words": {},
    "target_case": {}
  },
  "additionalProperties": true
}
🟢generate_uuid(count)

Generate one or more cryptographically random UUID v4 identifiers. Use this when you need unique IDs for test fixtures, database records, session tokens, or any scenario requiring a guaranteed-unique string. Returns up to 100 UUIDs in one call.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "count": {
      "type": "number",
      "description": "Number of UUIDs to generate (1–100, default: 1)"
    }
  }
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "uuids": {},
    "count": {
      "type": "number"
    }
  },
  "additionalProperties": true
}
🟢hash_text(input, algorithm)

Compute a cryptographic hash of a text string. Use when you need to verify data integrity, generate content fingerprints, hash passwords (prefer SHA-256+), or produce a fixed-length digest of any input. Supports SHA-256 (default), SHA-512, SHA-1, and MD5.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "Text to hash"
    },
    "algorithm": {
      "type": "string",
      "description": "Hash algorithm: sha256 (default), sha512, sha1, md5"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "hash": {},
    "algorithm": {},
    "input_length": {
      "type": "number"
    }
  },
  "additionalProperties": true
}
🟢base64_encode(input)

Encode a UTF-8 string to Base64. Use when you need to embed binary data, multi-line text, or special characters safely inside JSON fields, HTTP headers, or data URIs.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "Text to encode"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "encoded": {
      "type": "string"
    }
  },
  "additionalProperties": true
}
🟢base64_decode(input)

Decode a Base64 string back to UTF-8 text. Use for inspecting Base64-encoded API responses, JWT payload claims, config file values, or attachment data.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "Base64 string to decode"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "decoded": {}
  },
  "additionalProperties": true
}
🟢url_encode(input, mode)

Percent-encode a string for safe use in URLs. Call this before programmatically building query strings, path segments, or form-encoded bodies to prevent injection and malformed URLs.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "String to URL-encode"
    },
    "mode": {
      "type": "string",
      "description": "\"component\" (default) or \"full\" for encodeURI behavior"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "encoded": {}
  },
  "additionalProperties": true
}
🟢url_decode(input)

Decode a percent-encoded URL string back to plain text. Use when parsing query parameters from raw URLs or when displaying encoded values to users.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "URL-encoded string to decode"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "decoded": {}
  },
  "additionalProperties": true
}
🟢color_convert(input)

Convert a color between HEX, RGB, and HSL formats. Use when translating design tokens between CSS notations, verifying color accessibility, or normalizing color values from user input. Accepts #rrggbb, #rgb, rgb(r,g,b), or hsl(h,s%,l%).

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "Color value to convert, e.g. \"#ff6b6b\", \"rgb(255,107,107)\", \"hsl(0,100%,71%)\""
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "input": {},
    "hex": {},
    "rgb": {
      "type": "string"
    },
    "hsl": {
      "type": "string"
    },
    "r": {},
    "g": {},
    "b": {}
  },
  "additionalProperties": true
}
🟢number_base_convert(input, from_base, to_base)

Convert numbers between bases: decimal, binary, octal, hexadecimal, or any base 2–36. Auto-detects 0x, 0b, 0o prefixes.

Esquema de entrada

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "Number to convert (e.g., \"255\", \"0xFF\", \"0b1010\", \"0o77\")"
    },
    "from_base": {
      "type": "number",
      "description": "Source base 2–36 (auto-detects prefix if omitted)"
    },
    "to_base": {
      "type": "number",
      "description": "Target base 2–36 (omit to get all common bases)"
    }
  },
  "required": [
    "input"
  ]
}

Esquema de salida

{
  "type": "object",
  "properties": {
    "result": {
      "type": "string"
    },
    "decimal": {},
    "from_base": {},
    "to_base": {},
    "binary": {
      "type": "string"
    },
    "octal": {
      "type": "string"
    },
    "hexadecimal": {
      "type": "string"
    }
  },
  "additionalProperties": true
}

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