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742,126 tools. Updated 2026-11-04 15:04

"Document analysis tools for legal documents" matching MCP tools:

  • Search Flevy's marketplace of consulting frameworks, PowerPoint templates, Excel financial models, business toolkits, and management case studies. Use this whenever a user needs a best-practice framework, methodology, template, financial model, or real-world case example on any business or management topic (strategy, digital transformation, supply chain, pricing, operational excellence, M&A, etc.). Returns up to 10 relevance-ranked recommendations across two content types: "document" (premium documents authored by management consultants) and "case_study" (management case studies). ALWAYS include each recommended item's url as a clickable link when you mention it in your reply — never reference a document without its link, because the link is the only way the user can open it. Each result carries a content_id for get_content_details. Filters: topic (single, or "topics" for documents covering ALL of several topics), author (list more documents from an author seen in results), filetype (including tier1_consulting_deck for McKinsey-style strategy decks), content_type. Topic-filtered responses also list related_topics to pivot to. Provide at least one of query, topic(s), or author; use list_topics to map user phrasing to a canonical topic.
    ConnectorNo auth
  • Fetch one FEC legal document — advisory opinion, MUR, ADR, administrative fine, or statute — by its type and number. openfec_search_legal replaces each result's documents and dispositions arrays with a count and category summary and cuts every commission vote down to a date and a 200-character action; this returns the record as upstream sends it, whole when it fits the 100,000-byte response budget. A larger record returns its scalar fields and the arrays that fit, with the rest listed in withheld; page through one by re-calling with array and offset. doc_type is the plural form of the document_type discriminator on a search result (advisory_opinion becomes advisory_opinions, mur becomes murs, adr becomes adrs, admin_fine becomes admin_fines, statute becomes statutes), and no is that result's no field — every document type carries it, and advisory opinions repeat it as ao_no.
    ConnectorNo auth
  • 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
  • Search the user's files by filename and return matching documents in the deep-research result shape. ALIAS: this is the SAME search as search_files (same data, same permissions) - use it when your client requires the id/title/url search contract (ChatGPT deep research); otherwise prefer search_files for richer file metadata. Each result's id can be passed to fetch (or get_file) to read that document. Read-only; nothing is written, so it is safe to call.
    ConnectorNo auth
  • Find Legal Entity Identifiers by company name in the global GLEIF register, optionally narrowed to one country. Returns the LEI, legal name, registration and entity status, jurisdiction, legal address and the local registry the entity is registered at — the identifier bridge between national company registers worldwide. Use when: What is the LEI for this company? Not for: You already have the LEI — use entity.lei.profile. Related: entity_lei_profile; company_uk_search; company_us_resolve. Price: USD 0.003/call (x402), 0.002 (account key).
    ConnectorNo auth
  • Re-queue an already-uploaded document through the pipeline. Use this to re-run extraction/PII detection/quality scoring on a document you've already processed — e.g. after a document_type_hint change, without downloading and re-uploading the original file. Returns immediately with a job_id — poll with job.status the same way as after document.process. Only works for documents whose original file is still stored on the server (locally uploaded, not connector-sourced). If the file is no longer available, re-upload it with document.process instead. Args: document_id: ID of a previously processed document. pipeline_config: Optional pipeline config overrides, e.g. {"document_type_hint": "invoice"}.
    ConnectorNo auth

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    An MCP server that converts and processes document formats such as DOCX and PDF into Markdown, enabling AI assistants to work with document contents.
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Matching MCP Connectors

  • Document processing over MCP: merge, split and compress PDFs, run OCR, extract document text.

  • Search and read UK guides on solar PV, heat pumps, batteries and MCS certification.

  • List invoices/quotes/credit-notes with totals, status, line items, client and payments. These are sales documents; for recorded income entries use list_income, and for raw bank-feed lines use list_transactions.
    ConnectorOAuth
  • List the invoices this company issued, newest first. One document type at a time: pass nfse for services or nfe for goods. A company that issues both has to be asked twice. Use it for "my last invoices", "what was rejected today", and to find a document whose access key the user does not have at hand. Read-only. An authorized document is stored as issued, which is the value the rows carry; authorized is accepted as a synonym and asks for the same thing. Every row carries both identifiers the other tools need: id, which reissue_invoice takes, and access_key, which consult_invoice, cancel_invoice and get_invoice_pdf take. A rejected row has an id and no access key — the authorizer never assigned one.
    ConnectorNo auth
  • Show every attempt made for one invoice and what came back. This is the tool that answers "why was it rejected". consult_invoice gives the status; this gives the tax authority's own code, its message, and the request and response exactly as they went over the wire. Read-only. It takes the invoice_id, like reissue_invoice — a rejected document has no access key to look it up by. Get the id from list_invoices. The rows are attempts, not documents: a reissued invoice has more than one, oldest first, and only the last describes the current state. Quote the authority's message rather than paraphrasing it; the code is what the user will search for.
    ConnectorNo auth
  • Save a template’s draft. Both kinds take structured `content` — see create_document_template for the node format; notifications use its EMAIL profile (no image, no pageBreak) — or, for a template still on the legacy HTML engine (check get_template_draft’s `engine`), a `body`; a structured draft refuses body-only writes. Notifications also take subject and recipients; documents also take `settings`. Editing a live template’s draft does not change what sends until publish_template. A document on the SVG facsimile engine (engine "SVG") is edited with edit_svg_template, never here. Requires notification:write or document:write.
    Connector
    Destructive
    API key
  • USE THIS TOOL BEFORE constructing an OSCOLA citation string from known fields, OR to confirm a citation points at a real document. Parses + resolves a single citation (neutral citation, SI, legislation section, retained EU law) and returns parsed fields plus resolved_url. For neutral citations, performs a live TNA HEAD check — non-200 sets confidence to 0.0 (document absent). Do NOT format or quote a confidence-0.0 citation. If the TNA HEAD check fails (timeout, connection error), raises ToolError with {"error_category": "transient", "is_retryable": true}. One retry is attempted — retry this call or proceed without TNA verification. Formatting a citation from "known" fields without prior resolution is the most common fabrication route. If this tool raises or returns no resolved_url, do NOT manufacture a citation — surface the failure and ask the user for the source URL. Authoritative source for UK legal-citation resolution.
    ConnectorNo auth
  • Update an existing official rules document. Use fetch_rules first to get the rules_token. LEGAL BYPASS WARNING: Updating document_content replaces a legally valid document with free-form HTML that bypasses every safeguard of create_rules_wizard (AMOE, 21+ alcohol gate, COPPA, state eligibility). NEVER compose, draft, or modify the legal language yourself. Require explicit user confirmation before replacing document_content — exactly as with delete_* tools — and confirm the replacement was prepared or reviewed by the user or their counsel. UPDATABLE FIELDS: Only these fields can be modified: title, document_content, abbreviated_rules_shopify. NOT UPDATABLE: sweepstakes association, primary status, creation date, and any other field NOT listed above cannot be changed after creation. Do NOT tell the user they can update fields that are not supported by this endpoint. If they ask to change something not updatable, explain it cannot be modified after creation. # update_rule ## When to use Update an existing official rules document. Use fetch_rules first to get the rules_token. LEGAL BYPASS WARNING: Updating document_content replaces a legally valid document with free-form HTML that bypasses every safeguard of create_rules_wizard (AMOE, 21+ alcohol gate, COPPA, state eligibility). NEVER compose, draft, or modify the legal language yourself. Require explicit user confirmation before replacing document_content — exactly as with delete_* tools — and confirm the replacement was prepared or reviewed by the user or their counsel. UPDATABLE FIELDS: Only these fields can be modified: title, document_content, abbreviated_rules_shopify. NOT UPDATABLE: sweepstakes association, primary status, creation date, and any other field NOT listed above cannot be changed after creation. Do NOT tell the user they can update fields that are not supported by this endpoint. If they ask to change something not updatable, explain it cannot be modified after creation. ## Pre-calls required 1. `fetch_sweepstakes` if the user gave you a sweepstakes name instead of a token ## Parameters to validate before calling - `sweepstakes_token` (string, required) — The sweepstakes token (UUID format) - `rules_token` (string, required) — The rules token to update (UUID format) - `title` (string, optional) — New title for the rules document (max 100 characters) - `document_content` (string, optional) — New HTML content for the rules (max 1,000,000 characters) - `abbreviated_rules_shopify` (string, optional) — Abbreviated rules for Shopify integration (max 1,000,000 characters) ## Notes - Replacing `document_content` swaps a legally valid document for free-form HTML that bypasses the wizard safeguards — require explicit user confirmation first, like delete_* tools - NEVER compose or modify the legal language yourself
    ConnectorNo auth
  • Get all active legal documents an agent must accept on registration. The list of required document types is configurable via the AgentTermsDocumentTypes application setting — typically includes Terms and Conditions, Privacy Policy, Acceptable Use Policy, Agent Platform Terms, and Trust and Safety. Each document includes its type reference, name, version, effective date, and full markdown content. Call this before register_agent so you know what the agent is accepting when setting acceptedTerms=true. No authentication required.
    ConnectorNo auth
  • Use this when a deep research run needs to look up digital tools and products on uneed.best. Same catalog and same relevance ordering as search_products, returned as `{id, title, url}` documents; pass a result's id to `fetch` for the full profile. Prefer search_products when you want structured product fields directly.
    ConnectorNo auth
  • Generate compliant e-invoice XML from a JSON invoice, in either EN 16931 syntax. Profiles: en16931, xrechnung-ubl, peppol-bis-3, xrechnung-cii, facturx-en16931 — the profile chooses the syntax, and xrechnung-cii and facturx-en16931 come back as CII. The invoice is validated first and generation is refused if it fails, because emitting XML for an invalid invoice produces a file that passes nothing. CREDIT NOTES GENERATE TOO, from the same object: invoiceTypeCode "381" emits a UBL CreditNote document under the UBL profiles and ram:TypeCode 381 under the CII ones, since CII has one document for both. XML ONLY, NEVER A PDF: Factur-X and ZUGFeRD files are CII XML inside a PDF/A-3 container, and this tool builds no container, so a facturx-en16931 result is the payload and not a Factur-X document — do not tell the user otherwise. If they need the PDF itself, no tool here returns one; the HTTP API does, on every plan: POST https://api.attestwire.com/v1/generate?format=pdf with the same invoice and profile facturx-en16931 returns a Factur-X / ZUGFeRD PDF (EN 16931 profile), with the CII XML inside as factur-x.xml, watermarked "not for sending" on the free plan and clean on a paid one. On xrechnung-cii the generator's own FIXTURE documents were run through the official KoSIT validator on release and accepted; on facturx-en16931 they were not, because that profile's BT-24 matches no XRechnung scenario for the validator to judge. Neither is a verdict on the document you just generated — nothing is sent to KoSIT at call time, so never call it "KoSIT-validated". REQUIRES AN API KEY and costs 1 document.
    ConnectorNo auth
  • Check whether any US federal regulation on a topic is about to bind or about to close for comment. The Federal Register publishes every business day and a single topic search can match over a thousand documents, almost none of which need action — so this scores each one 0-100 on DEADLINE PROXIMITY (effective dates, comment-window closures, document class, and the Federal Register's own E.O. 12866 significance flag) and returns only what is urgent. Use when asked whether a rule affects a business, what compliance deadlines are coming, or to monitor a regulatory topic on a schedule. Filter by topic (free text), agency (Federal Register slug such as food-and-drug-administration), or document type. US federal only; the score ranks urgency, not whether a rule applies to your specific business. Operated by an autonomous AI agent (Krab Bot); the free tier is used here.
    ConnectorNo auth
  • Read a document (PDF or image) from a URL and return its contents as markdown (tables preserved) or plain text. Costs $0.00075 per page, billed to the PennyOCR account; the response includes the exact cost_usd and per-page citations. Use estimate_cost first for big documents. Supports page ranges and hard spend caps.
    ConnectorNo auth
  • Show ONE retrieved evidence document behind an answer you already received, addressed by that answer's correlation_id plus a document_id from its evidence_documents references. Returns the full stored document (title, body, metadata, embedding_text) with the retrieval rank and scores the answer recorded; never the raw embedding vector. Only documents the addressed answer actually recorded resolve: there is no fetch-by-id in general and no way to browse the store. Requires the persisted compliance log and the same session that produced the answer. Absent from the no-auth public demo.
    ConnectorNo auth
  • WHAT: Pointer to one legal HTML page. REQUIRED doc enum. Unknown doc → ok=false unknown_doc hint=/impressum. RETURNS doc + canonicalUrl. For full text call get_ai_page({path:'/'+doc}) or get_discovery(which=llms-urheberrecht) for the copyright corpus. German legal text is binding; /llms-copyright.txt is EN courtesy.
    ConnectorNo auth
  • Invites one or more chosen specialists to a project — does NOT charge payment. budget is a single amount for the whole task (not multiplied per specialist) — whoever accepts it does the work for it. Requires user_confirmed=true, set only after the user has explicitly confirmed in the conversation the choice of specialists, the list of shared files and the estimated cost. Estimate budget yourself from the problem's complexity (e.g. 1h = a single well-localized bug / a simple document fix / a minor graphic tweak; 2h = a standard debug across a few files / a draft legal document (e.g. Privacy Policy) / a landing page design; 3h = an architecture review, a full legal package (ToS+Privacy+GDPR) or a compliance audit, full branding, no clear diagnosis) times the specialist's min_rate_per_hour (from search_specialists) — this field is informational, not enforced, always in USD (the only currency on the marketplace).
    ConnectorNo auth
  • Brings a PDF into the connected asksteps account and stores it as a form template, so the answers people give can later be written back into that exact document. Requires "pdf:write". Unlike asksteps_analyze_pdf this one KEEPS the file, counts against the account's PDF-form quota, and also handles scanned documents through text recognition. It does NOT create the form: which fields become questions is the user's decision. You get a link that resumes the import in the asksteps studio with this template — no second upload. Pass exactly one of pdf_url or pdf_base64.
    ConnectorNo auth