MCP MeasureMCP Measure

索引已观测

One Million Tools

42 free deterministic utilities: JSON, CSV, YAML, encoding, hashing, JWT, cron, formatters, CSS.

我该使用它吗

质量与安全性

B
描述质量
79%
模式完整度
82%
命名质量
80%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现（14）

  • LOWTool 'json_format' description lacks action verb在 json_format 中
  • LOWTool 'json_minify' description lacks action verb在 json_minify 中
  • LOWTool 'base64_encode' description lacks action verb在 base64_encode 中
  • LOWTool 'base64_decode' description lacks action verb在 base64_decode 中
  • LOWTool 'url_encode' description lacks action verb在 url_encode 中
  • LOWTool 'url_decode' description lacks action verb在 url_decode 中
  • LOWTool 'sql_format' description lacks action verb在 sql_format 中
  • LOWTool 'html_format' description lacks action verb在 html_format 中
  • LOWTool 'css_format' description lacks action verb在 css_format 中
  • LOWTool 'js_format' description lacks action verb在 js_format 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~3,839token 数（工具定义）
~766 B典型响应大小
对注意力有显著影响（占 128k 上下文窗口的 3.00%）

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中：

{
  "mcpServers": {
    "one-million-tools": {
      "url": "https://tools-empire-mcp.lucas-qin-au.workers.dev/mcp"
    }
  }
}

远程端点

https://tools-empire-mcp.lucas-qin-au.workers.dev/mcpstreamable-http

它能做什么

工具清单

工具（42）

🟢 只读🟡 写入🔴 删除⚪ 未知
⚪json_format(input, indent)

Pretty-print JSON with configurable indentation (2 spaces, 4 spaces, or tab).

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "Raw JSON text to format."
    },
    "indent": {
      "default": "2",
      "type": "string",
      "enum": [
        "2",
        "4",
        "tab"
      ]
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪json_minify(input)

Compress JSON by stripping whitespace.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪json_validate(input)

Validate JSON syntax and return the parsed value or a line/column error.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪json_diff(left, right)

Diff two JSON documents and return added/removed/changed keys.

输入模式

{
  "type": "object",
  "properties": {
    "left": {
      "type": "string"
    },
    "right": {
      "type": "string"
    }
  },
  "required": [
    "left",
    "right"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪json_to_yaml(input)

Convert JSON to YAML.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪yaml_to_json(input)

Convert YAML to pretty-printed JSON.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪json_to_csv(input)

Convert an array of JSON objects to CSV.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "JSON array of flat objects."
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢csv_to_json(input)

Parse CSV text into a JSON array of objects.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪base64_encode(input)

UTF-8 text → Base64 string.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪base64_decode(input)

Base64 string → UTF-8 text.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪url_encode(input, mode)

Percent-encode a string (component or full URI mode).

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "mode": {
      "default": "component",
      "type": "string",
      "enum": [
        "component",
        "uri"
      ]
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪url_decode(input, mode)

Decode percent-encoded URL text.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "mode": {
      "default": "component",
      "type": "string",
      "enum": [
        "component",
        "uri"
      ]
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢sha256_hash(input)

Compute a SHA-256 hex digest of UTF-8 text.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢hash_text(input, algorithm)

Compute a SHA-1 / SHA-256 / SHA-512 hex digest of UTF-8 text.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "algorithm": {
      "default": "SHA-256",
      "type": "string",
      "enum": [
        "SHA-1",
        "SHA-256",
        "SHA-512"
      ]
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪uuid_generate(count)

Generate RFC 4122 v4 UUIDs.

输入模式

{
  "type": "object",
  "properties": {
    "count": {
      "default": 1,
      "type": "integer",
      "minimum": 1,
      "maximum": 64
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪regex_test(pattern, flags, input, replacement)

Test a regular expression against input text and return matches with capture groups.

输入模式

{
  "type": "object",
  "properties": {
    "pattern": {
      "type": "string",
      "description": "Regex source, no surrounding slashes."
    },
    "flags": {
      "default": "",
      "description": "Flags, e.g. 'gi'.",
      "type": "string"
    },
    "input": {
      "type": "string"
    },
    "replacement": {
      "description": "Optional replacement for String.replace.",
      "type": "string"
    }
  },
  "required": [
    "pattern",
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪unix_timestamp_convert(input, unit, zone)

Convert a Unix timestamp (seconds or ms) to an ISO 8601 date string.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string",
      "description": "Numeric Unix timestamp as a string."
    },
    "unit": {
      "default": "seconds",
      "type": "string",
      "enum": [
        "seconds",
        "milliseconds"
      ]
    },
    "zone": {
      "default": "utc",
      "type": "string",
      "enum": [
        "local",
        "utc"
      ]
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪jwt_decode(token)

Decode a JWT header + payload. Does not verify the signature.

输入模式

{
  "type": "object",
  "properties": {
    "token": {
      "type": "string"
    }
  },
  "required": [
    "token"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪sql_format(input, dialect, indent, keywordCase)

Pretty-print SQL.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "dialect": {
      "default": "sql",
      "type": "string",
      "enum": [
        "sql",
        "postgresql",
        "mysql",
        "sqlite",
        "bigquery",
        "tsql",
        "mariadb",
        "plsql",
        "db2",
        "redshift",
        "snowflake"
      ]
    },
    "indent": {
      "default": "2",
      "type": "string",
      "enum": [
        "2",
        "4"
      ]
    },
    "keywordCase": {
      "default": "upper",
      "type": "string",
      "enum": [
        "upper",
        "lower",
        "preserve"
      ]
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪html_format(input, indent, printWidth)

Pretty-print HTML.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "indent": {
      "default": "2",
      "type": "string",
      "enum": [
        "2",
        "4"
      ]
    },
    "printWidth": {
      "default": 80,
      "type": "integer",
      "minimum": 20,
      "maximum": 200
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪css_format(input, indent, printWidth)

Pretty-print CSS.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "indent": {
      "default": "2",
      "type": "string",
      "enum": [
        "2",
        "4"
      ]
    },
    "printWidth": {
      "default": 80,
      "type": "integer",
      "minimum": 20,
      "maximum": 200
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪js_format(input, indent, printWidth, semi, singleQuote, ...)

Pretty-print JavaScript / TypeScript with Prettier.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "indent": {
      "default": "2",
      "type": "string",
      "enum": [
        "2",
        "4"
      ]
    },
    "printWidth": {
      "default": 80,
      "type": "integer",
      "minimum": 20,
      "maximum": 200
    },
    "semi": {
      "default": true,
      "type": "boolean"
    },
    "singleQuote": {
      "default": false,
      "type": "boolean"
    },
    "parser": {
      "default": "babel",
      "type": "string",
      "enum": [
        "babel",
        "babel-ts",
        "typescript"
      ]
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪yaml_format(input, indent, lineWidth, sortKeys)

Pretty-print YAML.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "indent": {
      "default": "2",
      "type": "string",
      "enum": [
        "2",
        "4"
      ]
    },
    "lineWidth": {
      "default": 80,
      "type": "integer",
      "minimum": 20,
      "maximum": 200
    },
    "sortKeys": {
      "default": false,
      "type": "boolean"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢cron_explain(expression)

Explain a cron expression in plain English.

输入模式

{
  "type": "object",
  "properties": {
    "expression": {
      "type": "string"
    }
  },
  "required": [
    "expression"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪env_redact(input)

Redact secrets (API keys, tokens, passwords) from logs / config / env text.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢csv_parse(input, delimiter, previewRows)

Parse CSV text into fields + preview rows with delimiter detection.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "delimiter": {
      "default": "auto",
      "type": "string",
      "enum": [
        "auto",
        ",",
        ";",
        "\t",
        "|"
      ]
    },
    "previewRows": {
      "default": 50,
      "type": "integer",
      "minimum": 1,
      "maximum": 500
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪csv_sort(input, column, mode, direction, delimiter)

Sort CSV rows by one column (alpha or numeric).

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "column": {
      "type": "string"
    },
    "mode": {
      "default": "alpha",
      "type": "string",
      "enum": [
        "alpha",
        "numeric"
      ]
    },
    "direction": {
      "default": "asc",
      "type": "string",
      "enum": [
        "asc",
        "desc"
      ]
    },
    "delimiter": {
      "type": "string"
    }
  },
  "required": [
    "input",
    "column"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪csv_filter(input, column, mode, value, caseSensitive)

Filter CSV rows by a column predicate (equals / contains / regex / gt / gte / lt / lte / not-empty).

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "column": {
      "type": "string"
    },
    "mode": {
      "default": "equals",
      "type": "string",
      "enum": [
        "equals",
        "contains",
        "regex",
        "gt",
        "gte",
        "lt",
        "lte",
        "not-empty"
      ]
    },
    "value": {
      "default": "",
      "type": "string"
    },
    "caseSensitive": {
      "default": false,
      "type": "boolean"
    }
  },
  "required": [
    "input",
    "column"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪csv_split(input, mode, chunks, rowsPerChunk)

Split a CSV into N chunks or into files of N rows each.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "mode": {
      "default": "byChunks",
      "type": "string",
      "enum": [
        "byChunks",
        "byRows"
      ]
    },
    "chunks": {
      "default": 2,
      "description": "Used when mode=byChunks.",
      "type": "integer",
      "minimum": 1,
      "maximum": 9007199254740991
    },
    "rowsPerChunk": {
      "default": 100,
      "description": "Used when mode=byRows.",
      "type": "integer",
      "minimum": 1,
      "maximum": 9007199254740991
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢csv_statistics(input)

Compute per-column summary statistics (count, min, max, mean, median) over a CSV.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪text_diff(left, right, mode)

Diff two texts and return part-level changes plus a unified string.

输入模式

{
  "type": "object",
  "properties": {
    "left": {
      "type": "string"
    },
    "right": {
      "type": "string"
    },
    "mode": {
      "default": "words",
      "type": "string",
      "enum": [
        "lines",
        "words"
      ]
    }
  },
  "required": [
    "left",
    "right"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪markdown_format(input, listMarker, trimTrailing, collapseBlankLines)

Normalize Markdown (list markers, trailing whitespace, blank lines).

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "listMarker": {
      "default": "-",
      "type": "string",
      "enum": [
        "-",
        "*",
        "+"
      ]
    },
    "trimTrailing": {
      "default": true,
      "type": "boolean"
    },
    "collapseBlankLines": {
      "default": true,
      "type": "boolean"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪markdown_to_html(input, gfm, breaks)

Convert Markdown to HTML.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "gfm": {
      "default": true,
      "type": "boolean"
    },
    "breaks": {
      "default": false,
      "type": "boolean"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪markdown_preview(input, gfm, breaks)

Render Markdown to an HTML preview fragment with word/char counts.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "gfm": {
      "default": true,
      "type": "boolean"
    },
    "breaks": {
      "default": false,
      "type": "boolean"
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪slug_generate(input, separator, lowercase, stripAccents, collapseRepeats, ...)

Generate a URL slug from a string.

输入模式

{
  "type": "object",
  "properties": {
    "input": {
      "type": "string"
    },
    "separator": {
      "default": "-",
      "type": "string",
      "enum": [
        "-",
        "_"
      ]
    },
    "lowercase": {
      "default": true,
      "type": "boolean"
    },
    "stripAccents": {
      "default": true,
      "type": "boolean"
    },
    "collapseRepeats": {
      "default": true,
      "type": "boolean"
    },
    "maxLength": {
      "default": 0,
      "description": "0 = no limit.",
      "type": "integer",
      "minimum": 0,
      "maximum": 9007199254740991
    }
  },
  "required": [
    "input"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪meta_tags_generate(title, description, url, imageUrl, siteName, ...)

Generate <title>, description, Open Graph and Twitter Card tags for a page.

输入模式

{
  "type": "object",
  "properties": {
    "title": {
      "type": "string"
    },
    "description": {
      "type": "string"
    },
    "url": {
      "default": "",
      "type": "string"
    },
    "imageUrl": {
      "default": "",
      "type": "string"
    },
    "siteName": {
      "default": "",
      "type": "string"
    },
    "twitterHandle": {
      "default": "",
      "type": "string"
    },
    "locale": {
      "default": "en_US",
      "type": "string"
    },
    "type": {
      "default": "website",
      "type": "string",
      "enum": [
        "website",
        "article",
        "product"
      ]
    },
    "canonical": {
      "default": "",
      "type": "string"
    },
    "author": {
      "default": "",
      "type": "string"
    }
  },
  "required": [
    "title",
    "description"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪og_preview_build(title, description, url, siteName, imageUrl)

Build an Open Graph preview metadata bundle (title / description / domain truncation).

输入模式

{
  "type": "object",
  "properties": {
    "title": {
      "type": "string"
    },
    "description": {
      "type": "string"
    },
    "url": {
      "default": "",
      "type": "string"
    },
    "siteName": {
      "default": "",
      "type": "string"
    },
    "imageUrl": {
      "default": "",
      "type": "string"
    }
  },
  "required": [
    "title",
    "description"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪color_convert(hex)

Convert a HEX color into RGB / HSL / HSV / CSS forms.

输入模式

{
  "type": "object",
  "properties": {
    "hex": {
      "type": "string",
      "description": "HEX color, with or without leading #."
    }
  },
  "required": [
    "hex"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪css_gradient_build(angle, stops)

Build a CSS linear-gradient string from color stops + angle.

输入模式

{
  "type": "object",
  "properties": {
    "angle": {
      "default": 90,
      "description": "Degrees; 0 = top-to-bottom.",
      "type": "number"
    },
    "stops": {
      "minItems": 2,
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "color": {
            "type": "string"
          },
          "position": {
            "type": "number",
            "minimum": 0,
            "maximum": 100
          }
        },
        "required": [
          "color",
          "position"
        ]
      }
    }
  },
  "required": [
    "stops"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪css_border_radius_build(tl, tr, br, bl)

Build a CSS border-radius value from four corner radii in px.

输入模式

{
  "type": "object",
  "properties": {
    "tl": {
      "default": 0,
      "type": "number"
    },
    "tr": {
      "default": 0,
      "type": "number"
    },
    "br": {
      "default": 0,
      "type": "number"
    },
    "bl": {
      "default": 0,
      "type": "number"
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
⚪css_box_shadow_build(layers)

Build a CSS box-shadow value from one or more layers.

输入模式

{
  "type": "object",
  "properties": {
    "layers": {
      "minItems": 1,
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "offsetX": {
            "default": 0,
            "type": "number"
          },
          "offsetY": {
            "default": 2,
            "type": "number"
          },
          "blur": {
            "default": 4,
            "type": "number"
          },
          "spread": {
            "default": 0,
            "type": "number"
          },
          "color": {
            "default": "#000000",
            "type": "string"
          },
          "opacity": {
            "default": 0.1,
            "type": "number",
            "minimum": 0,
            "maximum": 1
          },
          "inset": {
            "default": false,
            "type": "boolean"
          }
        }
      }
    }
  },
  "required": [
    "layers"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢css_contrast_check(foreground, background)

Compute the WCAG contrast ratio between two colors and the AA/AAA verdict.

输入模式

{
  "type": "object",
  "properties": {
    "foreground": {
      "type": "string"
    },
    "background": {
      "type": "string"
    }
  },
  "required": [
    "foreground",
    "background"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

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