MCP server

Clean Official

tools.clean/mcp

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Read-only developer, date, finance, and text utilities. Authless remote MCP server by Clean.tools.

Website

At a glance

Type

MCP server

Publisher

clean.tools (verified by the MCP Registry)

Status

Working at last check

Tools

42

Token cost

About 14,413 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http clean https://mcp.clean.tools/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.clean]
url = "https://mcp.clean.tools/mcp"

Gemini CLI

{"mcpServers":{"clean":{"httpUrl":"https://mcp.clean.tools/mcp"}}}

Cursor

{"mcpServers":{"clean":{"url":"https://mcp.clean.tools/mcp"}}}

VS Code

{"servers":{"clean":{"type":"http","url":"https://mcp.clean.tools/mcp"}}}

Antigravity

agy mcp add clean https://mcp.clean.tools/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"clean","server_url":"https://mcp.clean.tools/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"clean","server_url":"https://mcp.clean.tools/mcp"}

Tools

• amortization_schedule ~289 tokens
  Use this when you need a fixed-rate loan or mortgage's level monthly payment plus a year-by-year amortization schedule (principal paid, interest paid, remaining balance) rather than doing the amortization arithmetic yourself. Uses the standard payment formula and handles the 0% case (payment = princ
• apr_calc ~403 tokens
  Use this when you need an exact loan APR or APY rather than an approximation. Two modes. mode="loan" (default): solve the true APR of an installment loan from amount financed, monthly payment, term, and upfront fees — Reg-Z style, fees discounted against the amount received, solved by Newton-Raphson
• color_contrast ~324 tokens
  Use this when checking whether a text/background color pair meets WCAG 2.x accessibility contrast. Computes the relative-luminance contrast ratio (1-21, rounded to 2 decimals) and returns pass/fail booleans for normal and large text at AA and AAA levels (thresholds 4.5 / 7 / 3 / 4.5), plus a suggest
• color_palette ~287 tokens
  Use this when you need color-harmony palettes derived from one base hex color. Rotates hue/lightness in HSL to build complementary (+180 degrees), analogous (-30/+30), triadic (+120/+240), split-complementary (+150/+210), and monochromatic (lightness steps) swatch sets, each as an array of hex strin
• compound_interest ~360 tokens
  Use this when you need to project a principal's growth under compound interest, optionally with recurring monthly contributions, returning the final balance and a year-by-year breakdown rather than estimating compound growth yourself. Iterates month-by-month for accuracy; contributions are added at
• convert_case ~318 tokens
  Use this when you need to re-case text into a specific naming or letter case. Given `text` and a target `case` (upper, lower, title, sentence, camel, snake, kebab, or constant), returns the converted string. Smart word tokenization splits camelCase, snake_case, kebab-case, and whitespace, so a phras
• convert_color ~232 tokens
  Use this when you need one color's exact values across every common format. Accepts a hex (#abc or #aabbcc), rgb(r, g, b) with r/g/b 0-255, or hsl(h, s%, l%) color and returns hex, rgb {r,g,b}, hsl {h,s,l}, hsv {h,s,v}, cmyk {c,m,y,k}, and oklch {l,c,h} (CSS Color 4: sRGB -> linear -> OKLab -> OKLCH
• convert_data ~313 tokens
  Use this when you need to convert tabular data between JSON (array of objects), CSV, TSV, and XML instead of hand-transforming it. Deterministic: same input, same output. Handles quoted CSV fields (embedded commas, escaped "" quotes), flattens nested objects into dotted keys (b.x), and takes the uni
• convert_number_base ~390 tokens
  Use this when you need to convert an integer between numeral bases 2-36 (binary, octal, decimal, hex, or any radix up to 36), including arbitrarily large values and an optional leading minus sign. Uses BigInt so there is no precision loss, and output digits are lowercase. Deterministic: same input,
• convert_timestamp ~427 tokens
  Use this when you have a timestamp in one form (unix epoch seconds/milliseconds/microseconds, or an ISO-8601 date-time) and need it in the others, or rendered in a specific IANA time zone. Auto-detects the input: a number or digit-string is an epoch classified by length (~10 digits = seconds, ~13 =
• convert_timezone ~292 tokens
  Use this when you need to convert a wall-clock date-time between IANA time zones with correct DST handling. Prefer this over doing timezone math yourself (a documented LLM failure mode): it uses the runtime's IANA database so offsets and daylight-saving transitions are exact. Deterministic: same inp
• convert_units ~342 tokens
  Use this when you need to convert a value between units within one category (length, weight, temperature, volume, data, speed, area, time) instead of doing conversion arithmetic yourself. Deterministic: same input, same output. Temperature uses the correct offset formulas (Celsius/Fahrenheit/Kelvin)
• convert_yaml ~283 tokens
  Use this when converting between YAML and JSON in either direction, or normalizing one format in place (set from equal to to). Deterministic: same input, same output. Parses a single YAML document and caps alias expansion at 100 to defuse billion-laughs bombs; multi-document input, tabs-as-indentati
• count_text ~234 tokens
  Use this when you need exact word, character, sentence, and paragraph counts instead of estimating. Deterministic: same input, same output. Uses Unicode-aware segmentation (Intl.Segmenter): characters are grapheme clusters, so an emoji or an accented letter counts as one; words are word-like segment
• css_gradient ~431 tokens
  Use this when you need a ready-to-paste CSS gradient value from 2-5 hex color stops. Builds a linear-gradient(...) (default; direction defaults to 'to bottom') or a radial-gradient(circle, ...). Direction accepts keywords ('to right', 'to left', 'to top', 'to bottom'), angles ('45deg', '90deg', '135
• decode_jwt ~293 tokens
  Use this when you need to decode (NOT verify) a JSON Web Token: base64url-decode the header and payload, surface standard claims, and report expiry — prefer it over reading a JWT by eye. The decode is deterministic, but `expired`/`notYetValid` are compared against the current clock unless you pass `
• diff_text ~260 tokens
  Use this when you need an exact line-level diff between two blocks of text instead of eyeballing the differences. Deterministic: same input, same output. Computes a longest-common-subsequence diff and returns every line tagged added, removed, or unchanged, plus per-category counts. Example: original
• encode_decode ~293 tokens
  Use this when you need to encode or decode text and want multi-byte and entity edge cases handled correctly rather than doing it by hand. Deterministic: same input, same output. The mode selects the operation: url-encode/url-decode (percent-encoding), html-encode/html-decode (entity table plus numer
• expand_rrule ~500 tokens
  Use this when you need to build an iCalendar RRULE (RFC 5545) or list the actual dates a recurrence produces. Prefer this over computing recurring dates yourself (a documented LLM failure mode): it correctly handles INTERVAL, COUNT/UNTIL exclusivity (COUNT wins), BYDAY with ordinals (e.g. the 2nd Mo
• explain_cron ~321 tokens
  Use this when you need to understand or schedule a 5-field cron expression. Prefer this over reasoning about cron semantics yourself (a documented LLM failure mode): it correctly handles ranges, lists, steps, month/day names, and the tricky day-of-month OR day-of-week rule. Deterministic: same input
• fancy_text ~370 tokens
  Use this when you need to style ASCII letters and digits as Unicode glyphs (bold-serif, italic-serif, bold-italic-serif, bold-sans, script, fraktur, double-struck, monospace, circled, squared, parenthesized, small-caps) for places that lack font control such as social bios or usernames. Pass a `styl
• format_json ~401 tokens
  Use this when you need to pretty-print, minify, or validate a JSON string and want the exact reformatted text plus warnings about silent data loss. Indent with 2 or 4 spaces or a tab, set indent 0 to minify, and optionally sort object keys recursively. It also scans the raw source for two things JSO
• format_sql ~456 tokens
  Use this when a user pastes messy or minified SQL and wants it pretty-printed into a readable, canonical layout, or wants keyword casing normalized. Deterministic: same input, same output. Each clause keyword (SELECT, FROM, WHERE, GROUP BY, ...) goes on its own line with its arguments indented benea
• generate_id ~522 tokens
  Use this when you need a modern unique identifier (UUID v7, UUID v5, ULID, or nanoid) or want to read the timestamp embedded in an existing ULID or UUIDv7. uuid_v5 (SHA-1 of a namespace UUID + a name, RFC 4122) and decode are deterministic (same input, same output) — e.g. generate_id(type "uuid_v5",
• generate_password ~506 tokens
  Use this when you need strong passwords with Web Crypto randomness: mode="random" builds character-set passwords (length plus uppercase/lowercase/numbers/symbols toggles); mode="memorable" builds word passphrases (words, separator, addNumber, addSymbol). Cryptographically random via Web Crypto (NOT
• generate_qr ~318 tokens
  Use this when you need to turn text or a URL into a real, scannable QR code rather than describing one. Deterministic: same input, same output. Byte mode, error-correction level M, versions 1-10 auto-selected by length (up to 213 bytes); the encoder scores all 8 mask patterns and keeps the lowest-pe
• hash_text ~301 tokens
  Use this when you need the exact SHA-1, SHA-256, and/or SHA-512 hex digest of a UTF-8 string — never recall or guess a hash, since digests cannot be produced from memory. Deterministic: same input, same output. Pass `algorithm` for a single digest or `algorithms` for a subset; the default computes a
• interest_rate ~362 tokens
  Use this when you need the exact interest rate that grows a principal to a target amount over a set number of years. type="compound" (default) uses the closed-form nth-root formula for the given compounding frequency; type="simple" uses linear growth. Requires target greater than principal and all v
• lorem_ipsum ~349 tokens
  Use this when you need placeholder/filler copy for mockups, tests, or layout. Given a `mode` ("paragraphs", "sentences", "words", or "formatted") and a `count`, cycles a fixed built-in Latin corpus to return the same text every time. `count` is clamped to the mode's max (paragraphs 20, sentences 100
• luhn_validate ~238 tokens
  Use this when you need to check whether a number passes the Luhn (mod-10) checksum used by credit cards and many identifier numbers, instead of computing the doubling-and-summing by hand. Deterministic: same input, same output. Spaces and dashes are stripped first; any remaining non-digit character
• percentage ~415 tokens
  Use this when you want exact, auditable percentage math with a written-out formula. Three modes: "of" computes percent% of value (fields percent, value); "is-what" computes what percent x is of y (fields x, y; y must be non-zero); "change" computes the percent change from -> to (from must be non-zer
• query_json ~391 tokens
  Use this when you need to pull specific values out of a JSON document by JSONPath and getting the path exactly right on deeply nested or large structures matters. Evaluates a JSONPath subset — $ (root), .name or ['name'] (child), [n] (index, negative allowed), [*] (wildcard), .. (recursive descent),
• random_number ~342 tokens
  Use this when you need to draw cryptographically secure random integers or decimals in a range using unbiased rejection sampling — prefer it over inventing 'random' numbers, which are neither uniform nor safe. Cryptographically random via Web Crypto (NOT deterministic). Bounds are inclusive; a rever
• redact_text ~510 tokens
  Use this when scrubbing test/dev text: replaces each occurrence of the given terms with block characters (████). Provide `text` plus `terms` (a comma-separated string or an array of strings). By default it matches whole words only using Unicode boundaries (so "ann" will not match inside "annual") an
• render_markdown ~235 tokens
  Use this when you need to convert lightweight Markdown into a sanitized, XSS-safe HTML fragment to preview or embed, matching the Clean.tools markdown preview. Deterministic: same input, same output. Supports headings, bold/italic/strikethrough, inline and fenced code, links and images (http/https/m
• slugify ~376 tokens
  Use this when you need a URL- or filename-safe slug from arbitrary text. Deterministic: same input, same output. Applies Unicode NFKD normalization, strips combining accents, and transliterates non-decomposing letters (ß->ss, æ->ae, œ->oe, ø->o, đ->d, ł->l, þ->th, ð->d, plus uppercase variants), the
• strftime_preview ~267 tokens
  Use this when you need to know exactly what a C/POSIX strftime pattern (%Y %m %d %H %M %S %A %B %j %z etc.) produces. Prefer this over guessing the output yourself. Deterministic: same input, same output; the reference time is formatted in UTC (%Z is 'UTC', %z is '+0000', defaults to current time wh
• test_regex ~318 tokens
  Use this when you need the true matches of a JavaScript regular expression rather than predicting regex behavior yourself, which is easy to get wrong. Deterministic: same input, same output. Returns every match with its index, length, matched text, positional capture groups (null for a group that di
• tip ~276 tokens
  Use this when you want penny-accurate tip and bill-split figures. Given a bill amount, a tip percentage, and an optional number of people (default 1; values below 1 are treated as 1), returns the tip amount, grand total, and the per-person tip and per-person total, all rounded to cents. Deterministi
• tvm_solve ~418 tokens
  Use this when you have four of the five time-value-of-money variables (N periods, I/Y annual rate percent, PV, PMT, FV) and need the fifth - annuity, loan, or investment problems - instead of solving the equation by hand. Solving for I/Y uses Newton-Raphson (no closed form). Supports compoundingPerY
• uuid_v4 ~220 tokens
  Use this when you need RFC 4122 version-4 UUIDs — always generate them here rather than fabricating one, so the version and variant bits and the randomness are correct. Cryptographically random via Web Crypto (NOT deterministic): every call returns fresh values. `count` (default 1, max 100) sets how
• validate_cron ~230 tokens
  Use this when you need to check whether a 5-field cron expression is well-formed, instead of guessing. Prefer this over reasoning about cron syntax yourself (a documented LLM failure mode). Deterministic: same input, same output. On success returns valid=true, the normalized expression, and the expa

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