"Information on RAG Documents or Processing" matching MCP tools:

• check_pack

  OpenWarrant — Document Verification Suite

  Check whether a SET of documents satisfies a checklist — completeness, cheaply. USE THIS WHEN you have an application / onboarding pack and need "do we have the required documents, and what's still missing?" Each document is CLASSIFIED (one cheap page-1 read — never full field extraction or multi-page), then matched against the checklist's required slots. (For "is a document genuine?" use verify_document; to identify ONE document use classify_document; for the identity gate use verify_identity.) Define the checklist ONE of two ways: - `scheme`: a named preset — "income_proof", "lending_prequal", "rental_application". - `requirements`: an ad-hoc checklist — a list of document-type names like ["payslip","bank_statement"], or objects {"key":..., "accepts":[types], "optional":bool}. `documents` is a list (up to 12), each ONE of: {"url": "https://..."} (public link, fetched server-side) or {"bytes_b64": "...", "filename": "statement.pdf"} (inline). Returns `{complete, slots[] (key, satisfied, matched), missing[], documents[] (filename, classified_type), unmatched_documents[]}`. COVERAGE, not approval — that the right document TYPES are present, NOT that any is genuine (run verify_document) or that an application is approved. Documents are never stored.

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• collection.ask

  DocImprint

  Answer a question using RAG over a document collection. Retrieves relevant chunks then synthesizes a cited answer with source attribution. Use when you need a direct answer grounded in your collection documents. For raw matching chunks (without synthesis), use collection.search instead. For single-document Q&A, use url.qa instead. PREREQUISITE: Collection must be populated via collection.add_document and indexed before results appear. Returns: { answer: string, sources: [{ bundle_id, chunk_id }], retrieval: [{ bundle_id, chunk_id, text, score }] } Example prompts: - "What are the key terms of the service agreement in my collection?" - "Based on my due diligence docs, what are the main risks?" - "Answer this question using all documents in the Q4 Contracts collection."

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• check_website

  lexvibe

  Free legal-compliance check of a public website (no signup). Fetches the URL server-side and detects data processing relevant to compliance — analytics, marketing pixels, payments, generative AI, email collection, third-party sharing — then returns the legal documents and cookie-consent setup the site needs, whether the EU AI Act applies, and suggestedAnswers you can pass straight to generate_policies. Result contract: `fetched` is true only when the page HTML was actually read; when false, `fetchError` says why ("unreachable": the URL could not be resolved or connected; "blocked": the server answered with an error status) and the detected signals are NOT meaningful — report the check as inconclusive, not as clean. Run it again after adding any SDK, analytics, payment, auth or AI integration: when an appId is passed (or read from the installed LexVibe snippet) the result ALWAYS includes a `drift` key — status "in_sync", "outdated" (listing processing the hosted legal documents don't cover yet) or "unavailable" with a bounded `reason` (no-database, app-not-found, no-baseline, domain-mismatch, page-not-fetched) when the comparison could not be made; treat "unavailable" as unknown, never as in sync. Read-only.

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• get_analysis_status

  hypathesis

  Check the processing status of an uploaded paper. Poll this tool after uploading a PDF until status is 'Ready' before calling get_variable_relationships. Args: file_id: The file_id returned by the /upload endpoint. authorization: Optional. API key as 'Bearer hk_...' or 'hk_...'. Returns: { "status": "Processing" | "Ready" | "Empty" | "Ineligible" | "Pending", "edges_count": int, "variables_count": int }

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• ic_research_ask

  Immersive Commons

  Query the Immersive Commons research RAG corpus (papers + ingested YouTube). Returns top-k chunks with similarity scores and source links. The query text is forwarded to a server-side RAG proxy (supercommons2 via Tailnet Funnel) and NEVER logged on the IC side — privacy contract. Use this for literature lookups, finding related work, surfacing citations the floor has already ingested. Args: { question: string (<=500 chars), k?: number (1-50, default 10), sources?: ('paper'|'book')[] (default ['paper']) }. Returns the upstream RAG response shape — typically { results: [{ paper_id, title, similarity, snippet, link }, ...] }. Required scope: research:query.

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• generate_policies

  lexvibe

  Generate the legal documents (privacy policy, terms of service and, if applicable, an AI disclosure) localized and tailored to the target markets (GDPR, UK GDPR, CCPA…). Returns Markdown drafts. Pass check_website's or check_store's suggestedAnswers as `answers` so the documents disclose the right processing. Anonymous remote generation is template-based and capped at 3 locales; AI-tailored, hosted and auto-updated documents require a LexVibe account (https://golexvibe.com).

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• hallucination_check

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Word-overlap based hallucination check: verifies if an LLM answer's words and numbers appear in the provided source/context. Fast, deterministic, no API key needed. Limitations: not semantic — does not understand synonyms or paraphrases. For true semantic grounding, use run_semantic_tests with embedding mode. Essential for quick RAG accuracy testing.

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• verify_identity

  OpenWarrant — Document Verification Suite

  Run an Australian identity check over a SET of identity documents. A vision model reads each document (which ID it is, which fields it shows — name/photo/address/signature — and its issue date); a deterministic engine then tallies them against a scheme and reports whether identity is established, and exactly what's still missing if not. USE THIS WHEN someone needs to verify a person's identity from their documents — KYC / onboarding / "do these documents satisfy the 100-point check?" Pass ALL the person's documents together (a passport alone is 70 points; the check needs >= 100). `documents` is a list, each item ONE of: {"url": "https://..."} (public link, fetched server-side) or {"bytes_b64": "...", "filename": "passport.pdf"} (inline). Up to 10. `scheme`: "afp_100_point" (points, default) or "austrac_safe_harbour" (category combinations). Returns `{established, points/target or satisfied_path, documents[] (per-document: type, fields shown, whether it counted and why-not), reason, accepts, ...}`. This is identity COVERAGE, not a forgery judgment — run verify_document for authenticity. Documents are never stored.

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• collection.ask

  api

  Answer a question using RAG over a document collection. Retrieves relevant chunks then synthesizes a cited answer with source attribution. Use when you need a direct answer grounded in your collection documents. For raw matching chunks (without synthesis), use collection.search instead. For single-document Q&A, use url.qa instead. PREREQUISITE: Collection must be populated via collection.add_document and indexed before results appear. Returns: { answer: string, sources: [{ bundle_id, chunk_id }], retrieval: [{ bundle_id, chunk_id, text, score }] } Example prompts: - "What are the key terms of the service agreement in my collection?" - "Based on my due diligence docs, what are the main risks?" - "Answer this question using all documents in the Q4 Contracts collection."

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• check_song

  tunova

  Get the current status of a song job by job_id — a single check with no waiting. Returns the audio URLs if complete, an error if it failed, or 'processing' if still rendering.

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• ic_health

  Immersive Commons

  Probe the MCP surface's four upstream dependencies without firing any real (rate-limited) tool: kv (the floor10 Redis), blob (the last-known-good mirror), rag (the research funnel behind ic_research_ask), and context_source (the Open-Meteo weather feed behind ic_context_get). Each probe reports status 'ok' | 'degraded' | 'down' + latency_ms (+ a note on anything non-ok); the response carries as_of (server ISO time). Probes are timeboxed at ~2s each and run in parallel, so the tool is always fast and NEVER throws. Available to any valid token — no extra scope. Args: none. Returns: { kv, blob, rag, context_source, as_of }.

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• get_payment_status

  Synchronity

  FINAL STEP of the in-chat payment flow. Returns the current PaymentSession for an order. Poll this (every ~5 seconds) after initiate_payment/submit_payment_otp until payment_status becomes "paid" or "processing" (success — the order is confirmed) or "failed" (tell the user; they can retry by initiating a new payment). Do NOT treat the purchase as complete until this returns "paid" or "processing". No delegation needed (read-only).

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• check_document_package

  Document Integrity Validator

  Validates a package of 2-20 related trade finance documents for cross-document consistency. Call this BEFORE approving any multi-document trade finance transaction or cross-border shipment -- at the moment a set of 2-20 related documents arrives from an external party and funds have not been released. Use this when your agent has received a full trade finance package — such as invoice, bill of lading, and certificate of origin together — and must verify all documents are consistent with each other before releasing funds. Returns PASS/FLAG/FAIL verdict per document with mismatch details. Cross-checks all documents for consistency across numeric values, party names, reference numbers, dates, and commodity descriptions. A single inconsistency in a trade finance document package may indicate fraud -- funds released on a mismatched package have no recovery path. Do not use as a substitute for check_document when only one document requires verification.

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• trace_create_workspace

  ls-search

  Create an isolated, disposable (ephemeral) vector-search workspace - your own sandboxed index/namespace for semantic retrieval and RAG. Prepays container time via x402 micropayment (USDC on Base, EIP-3009); no account, no signup. Call without x_payment to get the price + payment terms; with a signed x_payment it returns a one-time capability_token for the other tools.

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• check_memory_status

  Synap Memory

  Check whether a logged exchange has finished processing. Pass the ingestion_id returned by log_exchange. Returns the processing status and how many memories were extracted. Useful to confirm a save completed (extraction is asynchronous).

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• auteng_docs_recent

  AutEng MCP - Markdown Publishing & Document Share Links

  Browse the public recents feed of shared documents. No authentication required. Returns recently shared public documents, newest first. Args: page: Page number (default 1) limit: Items per page (default 20, max 100)

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• auteng_docs_recent

  AutEng MCP - Markdown Publishing & Document Share Links

  Browse the public recents feed of shared documents. No authentication required. Returns recently shared public documents, newest first. Args: page: Page number (default 1) limit: Items per page (default 20, max 100)

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• get_recent_changes

  Velvoite — EU Financial Regulatory Compliance

  Get recently published or updated regulatory documents. Shortcut for 'what is new this week' - returns documents from the last N days, sorted by publication date (newest first). Useful for weekly regulatory briefings. Args: days: Look back N days (default 7). entity_type: Filter by entity type code. regulation: Filter by regulation family code. urgency_max: Only include items at or above this urgency (1=critical, 2=high, etc.).

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• get_name_change

  mcp-server

  LEGAL NAME CHANGE rules for a jurisdiction: whether a change is permitted, on what grounds (or none), which authority decides (civil registry or court), who may apply, the process, indicative cost and timeline, the effect on the passport, transliteration rules for rendering a name into Latin script, and whether the former name persists on records held abroad. Commonly needed after marriage, after naturalisation, and when a non-Latin name must be rendered consistently across documents. Pass cc for one jurisdiction; omit for the covered list. Decided solely by the competent registry or court; Mirabello informs and orchestrates but does not file applications. Information, not legal advice.

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• fillin_query

  Fillin

  Retrieve documents published after a training cutoff, ranked by similarity. Call this whenever the user asks about events, releases, papers, issues, or news that might post-date your training data. Fillin only returns documents published AFTER `cutoff`, so nothing returned is redundant with what the model already knows. Args: query: Natural-language search query (e.g. "rust async runtimes"). Max 512 characters. cutoff: ISO-8601 date representing the agent's training cutoff (e.g. "2026-01-01"). Documents on or before this date are excluded from results. k: Number of documents to retrieve, 1-20. Defaults to 5. Returns: A dict with: - cutoff: echoed cutoff (ISO timestamp) - query: echoed query - gap_days: days between cutoff and now - results: list of {id, source, url, published_at, title, text, score}

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