"Sublime Text" matching MCP tools:

• redact_textA

  mcpA

  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") and is case-insensitive; set `caseSensitive` to match exactly, `wholeWords: false` to match substrings, or `fixedWidth: true` to hide each term's length behind a constant-width bar. Returns the redacted text and a replacement count, and never echoes the original terms. Deterministic: same input, same output. Truly sensitive text is better redacted client-side at clean.tools/text-redact/. Example: {text: "Contact Jane Doe", terms: "Jane Doe"} -> redacted "Contact ████████", redactedCount 1.

  ConnectorNo auth

• url.extractA

  DocImprintA

  Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use url.summarize for summaries, url.qa for Q&A, url.translate for translation, document.extract_text for base64 file uploads. Returns: { url, title, word_count, text, final_url (after redirects) } Example prompts: - "Extract the text from https://example.com/report.pdf for me." - "Get me the raw content of this web page: [URL]." - "Pull the text from this online article so I can analyze it."

  ConnectorNo auth

• url.extractA

  apiA

  Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use url.summarize for summaries, url.qa for Q&A, url.translate for translation, document.extract_text for base64 file uploads. Returns: { url, title, word_count, text, final_url (after redirects) } Example prompts: - "Extract the text from https://example.com/report.pdf for me." - "Get me the raw content of this web page: [URL]." - "Pull the text from this online article so I can analyze it."

  ConnectorNo auth

• redact_by_text_rangeA

  KDAN PDFA

  Redact PDF text by specifying the exact text to remove on each line. MANDATORY WORKFLOW — follow every step in order before calling this tool: Step 1 — Retrieve line text: Call list_redactable_line_text and note the exact 'text' string and 'line_index' for every line you intend to redact. Step 2 — Identify the text to redact: Provide the exact substring to remove. The value must appear verbatim in the line's 'text' field. - Non-CJK text (e.g. English): whole-word matching is enforced. "the" will NOT redact text inside "then", "there", or "either". - CJK text (e.g. Chinese): substring matching — "王大明" will match wherever it appears in the line. Step 3 — Build the content payload: Group redaction targets by page. Each page entry contains a list of { line_index, text } pairs. Example: content = [ { "page_index": 1, "lines": [ {"line_index": 3, "text": "John Doe"}, {"line_index": 7, "text": "confidential"} ] } ] Step 4 — Verify and re-redact if needed: After this tool returns, you MUST call list_redactable_line_text again with the NEW job_id to verify that all intended targets have been removed. If any target text still appears in the result, call redact_by_text_range again immediately with the remaining targets. Repeat until all targets are gone — do NOT report success until the verification confirms zero remaining targets. Creates a NEW job_id (with parent_job_id linking to the source). After redaction completes, call 'view_pdf' with the new job_id to display the result.

  ConnectorNo auth

• pdf_to_textA

  John's EssentialsB

  PDF to Text — COPY THE WORDS OUT of a PDF: get the wording, sentences and paragraphs as plain text you can paste into an email, a document or a spreadsheet. Extract the text that is already inside a PDF and return it as a plain .txt file. Reads the PDF's existing text layer using pdftotext with a Ghostscript txtwrite fallback — it does NOT run OCR. A scanned or photographed document has no text layer, so this tool refuses it with a 422 naming pdf_ocr rather than returning an empty file; run pdf_ocr first to add a searchable text layer, then extract. Mixed documents still succeed: pages that yielded no text are reported in the X-Conversion-Notes response header instead of being dropped silently. [category: pdf]

  ConnectorOAuth

• document.extract_textA

  apiA

  Extract plain text from a PDF or image (base64-encoded). Use when you need raw text for downstream AI analysis (summarization, claim checking, structured extraction). For documents at a public URL, use url.extract instead (no base64 encoding needed). Returns: { pages: number, text: string } Example prompts: - "Extract the text from this scanned contract so I can search it." - "Give me the raw text from this PDF document." - "OCR this image and return the text content."

  ConnectorNo auth

• read_pdfA

  docweave-mcpA

  Read a PDF and return its text as markdown (or plain text). Accepts a public URL or base64 bytes. Extracts the embedded text layer; a scanned, image-only PDF returns a needs-OCR notice instead of empty text. Priced per document; retries with the same idempotencyKey never double-read. The canonical way for an AI agent to ingest a document's contents.

  ConnectorNo auth

• fluxink-mcp-chatgpt-recognize-imageA

  fci-mcpA

  FluxInk image text recognition. Extract text from an EXISTING image (file upload, URL, or base64) the user provides. Higher accuracy than built in vision for tightly packed text, multi language documents, math, and LaTeX. Returns per region confidence and detection coordinates. Use this when the user uploads, attaches, or shares an image containing text they want extracted (screenshot, photo, scanned document, receipt, sign, whiteboard, book page, photographed handwritten notes). Use this when the user wants a photographed math expression or chemistry formula converted to LaTeX. Use this when the user references an image and asks to read, transcribe, or digitize the text in it. Do NOT use this when the user has NOT provided an image yet. Do NOT use this when the user wants to draw or handwrite something fresh (call show_handwriting_canvas instead). Do NOT use this when the request is a plain text question, summary, or explanation with no image attached. The language parameter selects the recognition mode. en is English text (default). zh is Chinese text. paddle is multilingual or mixed text. formula is mathematics. latex returns raw LaTeX markup. After returning results, present the extracted text clearly and offer follow up actions like translation, summarization, or editing.

  ConnectorNo auth

• textA

  Call MeA

  Send a one-way text to the human's phone (push notification, no ring). On a local client, read `to` from `~/.aiphone/config.json` → `user_number`; this hosted server cannot read that file itself. `to` is the 10-digit /call-me app number. Pass a previous session_token to stay in the same thread.

  Connector

  Destructive

  No auth

• translateA

  MapleFlowA

  Translate text between 75+ languages with auto-detection. Supports dynamic pricing based on text length.

  ConnectorNo auth

• lookup_qr_codeA

  GoCreative Agent APIB

  Generate a QR code data URL for arbitrary text. Pass ?text=... as query. Use for print, signage, ticketing agents. Example call: {"query_string": "text=https://api.gocreativeai.com"} Cost: $0.005–$0.05 USDC on Base per call.

  ConnectorNo auth

• get_change_requestA

  PinAppAIA

  Full detail for one change request. Returns the CR (including element_kind=text|mixed|field|null and suggested_text — a literal text-replacement the reviewer typed when picking a text/field element), plus related[] (other CRs on the same selector + same page) so you can detect patterns from a single fetch. Set include_image=true to embed the screenshot inline as an MCP image content block. When suggested_text is non-null on a text/field pick, paste it verbatim — do not interpret or rewrite. When element_kind=mixed, the element contains more than text (icons/images/structure) — rely on the comment + screenshot, not just the visible text.

  ConnectorNo auth

• get_pdf_infoA

  KDAN PDFA

  Use this when you need to read the text content of each page to decide which pages to delete. Returns page count and a text preview of every page. Use for text-based identification: table of contents, blank pages, cover page, etc. For visual content (logos, images, photos), use get_pdf_page_images instead.

  ConnectorNo auth

• get_voicesA

  Text to Speech VoiceoverA

  Retrieves a comprehensive list of available Text to Speech voices used for generating audio voiceovers. You must call this tool first to obtain the required voice object before you can generate any Text to Speech audio. You can optionally filter the voices by providing a Language_code.

  ConnectorAPI key

• pdf_ocrA

  John's EssentialsB

  OCR PDF (Make Searchable) — Make a scanned PDF searchable and selectable by adding an invisible OCR text layer over the page images — the pages look identical, but the text becomes findable, copyable, and indexable. Uses ocrmypdf (Tesseract + Ghostscript); already-searchable pages are skipped, so it is safe to run on mixed documents. This CREATES a text layer — to EXTRACT text that already exists, use pdf_to_text instead. [category: pdf] [requires the starter plan]

  ConnectorOAuth

• read_lessonA

  AI School by Lilly Tech SystemsA

  Fetch the full text of a lesson by its URL (as returned by search_lessons or get_track). Returns readable markdown-ish text with headings and code blocks.

  ConnectorNo auth

• document.extract_textA

  DocImprintA

  Extract plain text from a PDF or image (base64-encoded). Use when you need raw text for downstream AI analysis (summarization, claim checking, structured extraction). For documents at a public URL, use url.extract instead (no base64 encoding needed). Returns: { pages: number, text: string } Example prompts: - "Extract the text from this scanned contract so I can search it." - "Give me the raw text from this PDF document." - "OCR this image and return the text content."

  ConnectorNo auth

• case_convertA

  BlixtworksA

  Convert text case. POST {"text": "...", "to": "camel"|"snake"|"kebab"|"pascal"|"upper"|"lower"|"title"} -> converted text. Costs $0.005 in USDC on Base — pass paymentTx or payerAddress to pay (call how_to_pay for details).

  ConnectorNo auth

• as_ofA

  Lex: Luxembourg Law MCP ServerA

  The state of one document as it stood on one date. Pure lookup, no ranking. mode=outline lists provisions without text and may be narrowed with anchors; mode=select returns only the named anchors' text; mode=full (default) returns the whole text. Every provision carries its own permalink and hash.

  ConnectorNo auth

• search_blog_knowledgeA

  Context Studios MCPC

  Deep full-text search through the entire blog knowledge base. Provide either `query` (full-text search) or `slug` (fetch a specific post).

  ConnectorNo auth

• attach_documentA

  Consistency CalendarA

  Attach a supporting text document to a calendar — a syllabus/curriculum, exam spec, training history, race info. Stored with the calendar so any future session can read it when revising the plan. Text only (paste text out of PDFs), max 5 docs × 200KB.

  ConnectorNo auth