Skip to content
Squatch MCP

Text Analysis & Cleanup Tools (Tanod)

dev.tanod/text

by dev.tanod· v0.1.2Source: Official MCP Registry

Tools

Exactly what the server advertised in the scan completed . Effects and capabilities are classified by Squatch from each tool's metadata. Squatch never runs tools.

  • Effect: Read 14
  • Effect: Write 11
  • Effect: Delete 1
  • Effect: Unknown effect 1
Effect
Capability

Showing 27 of 27 tools

Tools advertised by dev.tanod/text
Details
text_replace

utilpeek: Find and replace in text. To sort, dedupe or number lines use text_lines. Returns the text with `find` replaced: literally, or as…

Effect: Delete
html_to_text

utilpeek: Convert HTML to Markdown or plain text. To fetch a URL use render_page; for the reverse use markdown_to_html. Returns the readabl…

Effect: Write
make_slug

utilpeek: Make a URL slug from text. For other case styles use text_case. Returns a URL slug: accents removed, Latin ligatures, Greek and C…

Effect: Write
text_case

utilpeek: Convert text case: title, sentence, snake, camel, kebab, ... For a URL slug use make_slug. Returns the text in another case: uppe…

Effect: Write
text_frequency

utilpeek: Count word and n-gram frequencies in a text. For scored keyphrases use text_keywords. Returns the most frequent words or 2-3 word…

Effect: Write
text_keywords

utilpeek: Extract the keywords and keyphrases of a text. For raw frequencies use text_frequency; for names and places use extract_entities.…

Effect: Write
text_lines

utilpeek: Sort, dedupe, trim, shuffle or number the lines of a text. For find and replace use text_replace. Returns the text's lines transf…

Effect: Write
text_lorem

utilpeek: Generate seeded lorem ipsum or English placeholder text. For random values use generate_random. Returns placeholder text: classic…

Effect: Write
text_numbers

utilpeek: Convert numbers to English words. For units use convert_units. Returns a number spelled out in English (cardinal, ordinal, year, …

Effect: Write
text_sentiment

utilpeek: Analyze the sentiment of an English text. For your own labels use classify_zero_shot; for counts use text_stats. Returns VADER se…

Effect: Write
text_spellcheck

utilpeek: Spellcheck a text with suggestions. For counts and readability use text_stats. Returns the words not in the language's word-frequ…

Effect: Write
text_stats

utilpeek: Count words and score the readability of a text. For word frequencies use text_frequency. Returns counts (characters, letters, wo…

Effect: Write
check_subtitle_delivery

utilpeek: Check subtitle delivery timing, line length and reading speed. Returns a cue-level SRT/WebVTT delivery review with versioned lang…

Effect: Read
check_text_duplicate

utilpeek: Check whether a draft repeats your earlier texts. Returns the duplicate, near or new verdict for a draft compared with 1-50 earli…

Effect: Read
check_text_for_secrets

utilpeek: Scan text for leaked secrets: API keys, tokens, private keys and seed phrases. For personal data use redact_pii; for injected ins…

Effect: Read
check_text_sources

findpeek: Check a text for copied sentences: web pages that contain them word for word. For a general query use web_search. Returns for up …

Effect: Read
convert_subtitles

utilpeek: Convert subtitles between SRT, WebVTT and JSON, with a time shift. To make subtitles from audio use transcribe_audio. Returns a s…

Effect: Read
detect_language

utilpeek: Detect the language of a text. To translate use translate_text. Returns the most likely language (ISO 639-1 and 639-3 code, name,…

Effect: Read
diff_text

utilpeek: Diff two texts: unified line diff, word or character changes. For PDF or Word files use compare_documents. Returns the difference…

Effect: Read
markdown_to_html

utilpeek: Convert Markdown to sanitized HTML. For the reverse use html_to_text. Returns the HTML of a Markdown document (markdown-it-py; `g…

Effect: Read
pdf_redaction_check

pdfpeek: Check a PDF for failed redactions: black boxes with the text still under them. To redact properly use pdf_redact. Returns whether …

Effect: Read
pseudonymize_pii

utilpeek: Pseudonymise PII in text: stable keyed tokens for emails, phones, cards, IBANs and IPs. Returns the text with each email, phone n…

Effect: Read
redact_pii

utilpeek: Redact PII from text: emails, phone numbers, card numbers, IBANs, SSNs, IPs and crypto addresses. For API keys and tokens use che…

Effect: Read
text_extract

utilpeek: Extract emails, URLs, domains, IPs, dates and crypto addresses from text. To mask personal data use redact_pii; for names and pla…

Effect: Read
text_summarize

utilpeek: Summarize a text by picking its key sentences. For paper abstracts use paper_digest; for counts use text_stats. Returns an extrac…

Effect: Read
text_unicode_inspect

utilpeek: Find invisible, bidi and homoglyph Unicode characters in text. For injected instructions use check_text_for_prompt_injection. Ret…

Effect: Read
pdf_redact

pdfpeek: Redact a PDF: black out terms, emails, phone numbers, card numbers and areas. To test a file redacted elsewhere use pdf_redaction_…

Effect: Unknown effect