"A server for reading files to provide context for writing large documents" matching MCP tools:

• word_createA

  Local MCPB

  Creates a new Word (.docx) document at `path` with the given text content (and an optional title rendered as the heading). The path must be somewhere LMCP can write; Desktop/Documents/Downloads may need a one-time Files-and-Folders grant (System Settings → Privacy & Security → Files and Folders). Returns {created, path}. For a OneDrive or Google Drive path use onedrive_write_file / gdrive_write_file; to append to an existing doc use word_append, to read one word_read.

  Connector

  Destructive

  OAuth

• check_textA

  WSC - Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• check_textA

  Writing Style CheckerA

  Analyze text for writing style issues: weasel words, passive voice, duplicate words, long sentences, nominalizations, hedging, filler adverbs, and research-cited AI tells. Read-only and stateless — text is analyzed in memory on the hosted server and never stored. Returns a plain-text report with each issue's line and column, the matched text, surrounding context, and the reason for AI tells; texts over 100,000 characters return an error message. This hosted server has no filesystem access — the wsc-mcp npm package adds a check_file tool for local files. It only reports issues — to auto-remove duplicate words, follow up with fix_duplicates.

  ConnectorNo auth

• file_listA

  TeamSharedC

  List active shared files in the caller's org, newest update first. Each file includes ``public_url`` (the ``/s/{slug}`` link, or ``/s/{share_token}`` if no slug) when published, plus ``slug`` and ``share_token``. Use ``query`` to find a file by title without listing everything — e.g. ``file_list(query="yield vault")``. Pass ``work_id`` to list documents + the agent transcript on a task (Storage artifact joins; transcripts stay on ``work_item_files``), or ``project_id`` for a project's documents. ``storage_list`` is canonical for every Storage join including blobs. ``project_id`` wins if both filters are set. Archived files stay joined but are omitted.

  ConnectorNo auth

• get_file_linkA

  hashnB

  Short-lived direct link to blob storage, for large or binary files. With path, returns file_url for that one file (GET to download; PUT with header 'x-ms-blob-type: BlockBlob' to upload when access='readwrite'); saves made with it are recorded under your name. Without path, returns container_url and sas_token for the whole workspace, read only (access='readwrite' needs a path). No link deletes: use delete_file. For files up to 3 MiB, write_file is simpler.

  ConnectorNo auth

• verify_photoA

  Lumethic Photo VerificationA

  Verify a photo's authenticity from a RAW camera file and its JPEG export, when the user asks for proof or a check that the photo is a genuine camera capture (not for feedback on the photo itself). Provide the files as attachments (raw_file = the camera RAW such as .CR2/.CR3/.NEF/.ARW/.RAF/.ORF/.DNG, image_file = the exported .jpg/.png), inline as raw_base64 + image_base64 (small files), or — for large files without attachments — call create_verification_upload first and pass the returned raw_object_key + image_object_key. Returns a verification id at once; the analysis runs in the background and takes from about a minute to 10 minutes or more, so call get_verification with the id repeatedly until status is completed. Counts against the monthly quota (free tier: 5/month).

  ConnectorOAuth

• get_interpretationA

  corpusA

  Return the Wheel of Heaven interpretive framework's reading of a topic — explicitly the project's own Raëlian-canon-centred position, NOT mainstream consensus. Accepts a framework topic (overview, hypothesis, terminology, timeline, sources, method) for the curated narrative documents, or any other term to get the framework reading from the closest wiki entry. Use fact-layer tools (get_passage, compare_traditions) for source-grounded data without this framing.

  ConnectorNo auth

• get_project_filesA

  DplooyA

  BEFORE ANY EDIT: read the CURRENT LIVE FILES of a deployed Dplooy project — the clean stored source, the ONLY source of truth for edits. Never scrape the site URL instead: served pages contain Dplooy-injected runtime (chatbot, badge, analytics) that is not part of the source. Call this BEFORE editing an existing site — edit against what is actually stored, never from memory (your memory of the site may be stale or from another conversation). Returns the full file inventory plus the text contents (HTML/CSS/JS). Use listOnly first on large sites, then fetch specific paths. After reading, make changes with update_project_files targeted edits ({ path, oldString, newString }) — never re-emit whole files for small changes, and never full-redeploy to edit (a redeploy replaces the whole site and deletes omitted files). Assigned forms, data, bookings and chatbot survive all edits unchanged.

  ConnectorOAuth

• prepare_formA

  EmbossA

  Prepare a form from documents: a proposal of every answer with its source, what is missing, and where documents disagree, before writing, plus attachments for a package. Same inputs as fill_form_from_context (form_id for a form already in the library, or pdf_url/pdf_base64 for a new one, plus context_text and/or context_urls), but nothing is written into the PDF: read the proposal, answer what is missing, then commit. policy is safe (write high and medium confidence) or strict (high only). Returns a job_id and a proposal_id; poll get_job about every 20 seconds. Billed as one context fill; the first 5 each month are free. Optional retention: ephemeral or account_default (default: the account's own setting); it applies only when this call creates the form (pdf_url, pdf_base64 or library), since an existing form keeps the setting it was created with. Ephemeral processing: source and output documents are deleted 60 to 70 minutes after the last activity on a form. Pass dry_run=true to rehearse this call without doing it: nothing is stored, charged or sent, and no AI is used. The answer says whether the real call would succeed or be refused, what it would cost, and what a rehearsal cannot check.

  ConnectorOAuth

• engram_smarterA

  EngramA

  Brief a materially different task within the same session. Unlike engram_recall, this combines goal-focused memories with optional procedural checklists; unlike engram_get_context, it ranks evidence for the task instead of returning category samples. Returns Markdown with ranked workspace/public memory and retrieval hints. Use engram_start to begin work and engram_rehydrate for lost context. Example: {"repo":"engram","context":"Improve public-page delivery on Netlify while preserving localized SEO and onboarding."}. context states the whole goal; repo/file focus retrieval without reading local files. limit overrides depth; include_skills=false suppresses checklists. Records retrieval/session telemetry without editing knowledge. Consumes workspace daily call quota. OAuth: memory:read.

  ConnectorOAuth

• list_documentsA

  AzquoA

  List the documents stored with a database (uploaded via create_upload_link), newest first: id, filename, size, the name they are attached to, and markdownChars - the size of the Markdown copy read_document returns (null when there is none, with markdownNote saying why). Pass nameId for one name's documents. Read-only. Use it to find a document's id before read_document, or to see what source files (PDFs, spreadsheets, notes) back a database. Data files loaded by import_file are not documents and are not listed here. Returns {database, count, documents}, every document at once (no paging). Errors database_not_found when the database does not exist or this user cannot open it.

  ConnectorAPI key

• get_security_writing_guidelinesA

  website-searchA

  Get Lenny Zeltser's expert writing guidelines for security reports and assessments. Provides guidance on tone, structure, clarity, executive summaries, and avoiding common writing mistakes. Includes rating-sheet items (the four lens sheets: structure, look, words, tone) as concrete reference points for grounded feedback. Works for any security document. This server never requests your documents and instructs your AI to keep them local—guidelines flow to your AI for local analysis. Note: For incident response reports specifically, use the ir_* tools which provide deeper section-by-section review criteria.

  ConnectorNo auth

• get_boundary_geojson_simplifiedA

  BoundrA

  Fetch simplified GeoJSON for a boundary by its ONS census code. Safe to embed directly in generated HTML map files. At the default tolerance (0.0001°) a constituency polygon shrinks from ~4,000 vertices to ~200–400 with no visible difference at normal map zoom levels. Prefer this over get_boundary_geojson_by_code() when writing Leaflet map pages — the full geometry is large enough to exhaust your context window before you can finish writing the HTML.

  ConnectorNo auth

• read_site_fileA

  Upfling.hostA

  Read the content of a single file on a site. Use mode: 'inline' to get the file content directly (text as UTF-8, binary as base64). Use mode: 'link' to get a short-lived authenticated download URL instead — useful for large files or when passing the URL to another tool. Use mode: 'auto' (default) to inline files under 100 KB and return a link for larger ones. Inline reads are capped at 1 MB.

  ConnectorOAuth

• get_tocA

  jitpromptA

  Map of the instruction documents available to you: one entry per document with a one-line summary of what it covers and how to use it. Small documents list their sections inline (id, title, summary); large ones show a section count and how to expand them. Call this at the start of a conversation and again whenever the conversation moves to a topic or system you haven't checked guidance for. Cheap; safe to call repeatedly. In a large collection the map is condensed (document lines, titles, or just an overview) and says so; then pass query. query: what you are about to do (e.g. "checking a product's eligibility rules before an application"). Lists only the documents relevant to it, best first — the map for the task at hand. document_id: pass a document's id (as shown in the map) to list every section of that one document. Do this to browse a document you need to read through. To find a specific rule, identifier, error code or table, call search_instructions instead — it is cheaper than expanding a large document and reading its section list. Ids in the output are short prefixes; pass them as-is to get_section or get_toc.

  ConnectorAPI key

• get_app_database_schemaA

  Roar AIA

  The tables, columns and types in a hosted app's own database, from the last reading we hold. Call this BEFORE writing SQL for query_app_database. Returns null when no reading is held yet — that means 'ask for one' (refresh_app_database_schema), not 'this database is empty'. `truncated` means there are more tables than listed.

  ConnectorOAuth

• bulk_screenA

  Anweshna Risk ScreeningA

  Upload up to 25 documents and screen them as one batch. Waits for text extraction, then starts scoring and returns job ids; poll get_bulk_status until the batch is finished. Each item is {title, content_base64 | text, filename?}. The 25-document limit is not the binding one for large files: the whole call must stay under 32 MB including base64 overhead, so send fewer, larger documents per batch rather than filling all 25 slots. Exceeding it is a bare HTTP 413 from the transport, before this tool runs. To RESUME a batch that was uploaded but not scored — this tool timed out waiting for extraction, or scoring failed to start — call it again with 'bulk_job_id' instead of 'documents'. That re-uses the existing upload and does NOT spend the account's quota a second time. If the batch is rejected because one or more documents are too large for the plan's scan engine, retry with force_precision=true to scan those documents truncated to the recall window (coverage beyond it is excluded).

  ConnectorNo auth

• workspace_files_sortA

  ZeroWidthB

  Sorts the files sitting directly in a folder into its subfolders, making a subfolder when two or more belong together; with `folderId: null`, files loose at the top go into the best folder anywhere. The same reading that files uploads on arrival: it runs in the background, and Home shows what moved, why, and an undo for each. Reads up to 60 files a call. Use it when someone asks to tidy or organize a folder; to put specific things somewhere, use workspace_folders_file. May return needs_confirmation.

  ConnectorNo auth

• listDocumentsA

  KoogaA

  The workspace's uploaded documents and folders. An empty `prefix` lists the top-level folders (invoices, contracts, shipping documents, product documents and any the merchant made); a folder such as 'contract/' lists its files, each with its key, file name and size. For what the documents say use searchDocuments; to read one in full, readDocument with its key.

  ConnectorAPI key

• search_documentA

  beatandraise.com SEC FilingsA

  Search within a filing's documents for specific terms. Returns matching lines with context. If filename is omitted, searches every readable document in the filing (the main document and its exhibits, e.g. an 8-K's press release AND its CFO commentary), up to 12 files. A filing with only XML forms (Form 144, 3/4/5, 13F, N-PORT, D) is searched as raw XML lines, so element names (aggregateMarketValue, netAssets) match as well as values. If filename is provided, searches only that file. Each file in the result carries its own source (beatandraise_url) — cite the file the match came from. Workflow: 1. Use get_filings to find the accession number for the filing you want 2. Call this tool with just accession_number and query — it will search all its documents 3. Optionally use get_filing_detail to see all files, then search a specific one by filename Supports multiple search terms separated by commas — lines matching any term are returned. A comma inside a number is kept: "3,007" or "464,391" is searched as one figure. Args: accession_number: SEC accession number (e.g. "0001045810-25-000023") query: Search terms, comma-separated (e.g. "singapore,revenue" or "risk factors") cik: Optional. CIK of the filer (e.g. "0000320193"); found from the accession number when left out filename: Optional document filename. If omitted, searches all readable documents. context_lines: Lines of context around each match (0-50, default 10)

  ConnectorNo auth

• get_docA

  Pine ScriptA

  USE WHEN reading the full content of a Pine Script v6 documentation file. Returns the file content; when limit is set, a header shows the char range and offset to continue reading. AFTER calling this tool, use offset=<end> to continue if the header indicates more content is available. For large files (ta.md, strategy.md, collections.md, drawing.md, general.md), prefer list_sections() + get_section() instead. Data sourced from bundled Pine Script v6 documentation.

  ConnectorNo auth