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484,048 tools. Updated 2026-08-28 05:48

"A service for translating documents" matching MCP tools:

  • List the layers of a Baltimore ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "311_Customer_Service_Requests_current/FeatureServer"). Omit `service` to list the known Baltimore services. Returns layer id + name to use with baltimore_query.
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  • 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. Costs 2 credit(s) per call.
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  • 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 extract_fields with options={"classify": true}; 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. Costs 3 credit(s) per call.
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  • List canvas documents in a workflow run. Canvas documents are collaborative markdown files that multiple agents can edit in parallel. Omit run_id to list documents across all runs. Read-only. Use read_canvas for content and get_canvas_toc for section IDs. There is no get_run; list_runs returns run records. Pass playbook_id as the UUID or GUID of the playbook this call should target.
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  • 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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  • Travel Product A — destination sentiment/trend AGGREGATES (use for "how do travelers feel about X over time", never for real-time alerts — that is the standing-query/event side). Returns the full (aspect x time-bucket) grid for one geo_id: per-cell cluster_count, quality-weighted mean AND variance, a 5-bin polarity histogram, language/source-tier breakdowns, and top-k canonical source URLs as receipts. Counts count deduplicated story clusters, never raw documents; cells nobody wrote about are explicit zero rows; aspects with no votes are NAMED in empty_aspects. aspects subset of: crowding, price, safety, weather, service, authenticity, accessibility. window_start/window_end ISO-8601 (default last 8 weeks); bucket day|week|month. Find geo_ids with resolve_geo. First call loads the embedding model server-side (slow once, then warm).
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.
    53
    MIT

Matching MCP Connectors

  • Find print jobs a brokering service submitted. Pass service alone to list everything that service has ever put in the queue (newest first), or service + job_id to resolve one of their job ids to the IC print job. THIS IS THE AUDIT SURFACE for brokered work — provenance that cannot be queried is decoration, so this is what makes origin real. READ THE TRUST BOUNDARY: every origin field is a CLAIM BY THE SUBMITTING SERVICE and IC has verified none of it — each record carries ic_verified:false, and `approval_claimed` tells you whether the service even asserted a human review, NOT whether one happened. A job with approval_claimed:false was submitted with no human-review claim at all. Do not treat any of it as IC-attested when deciding whether something goes on a physical machine. Args: { service, job_id?, limit? }. Returns: { ok, count, requests } or { ok, request }. Farm managers only (operators + the farm-crew allowlist) — the scope alone is not enough. Required scope: prints:read (ft-member+, farm-manager identity re-checked).
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  • List the layers of a Washington, DC ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "FEEDS/MPD/MapServer"). Omit `service` to list the known DC services. Returns layer id + name to use with dc_query.
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  • Curated TuLugar guides (general education, kept current): buying-process (step-by-step + documents), foreigners (rights + restrictions for non-Paraguayans), closing-costs (what fees exist), renting (contracts, deposits, garante), publishing (listing tips), airbnb (short-term rental basics). ALWAYS use this for "how does buying/renting work" / process / documents questions — the content IS in scope to share; only personalized legal advice is not.
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  • Get the GOV.UK Service Standard — 14 points the UK government uses to assess whether a public service is ready to launch. Widely applicable as a rigorous service-quality checklist beyond government. Use when the user asks how to evaluate a whole service.
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  • Curated TuLugar guides (general education, kept current): buying-process (step-by-step + documents), foreigners (rights + restrictions for non-Paraguayans), closing-costs (what fees exist), renting (contracts, deposits, garante), publishing (listing tips), airbnb (short-term rental basics). ALWAYS use this for "how does buying/renting work" / process / documents questions — the content IS in scope to share; only personalized legal advice is not.
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  • PURPOSE: Neutral delivery verification for agentic commerce. You (or your principal) paid some OTHER service over x402 and got a response; this tool verifies what was delivered and returns a SIGNED, offline-verifiable delivery receipt binding payment -> delivery -> content: the settlement receipt (by hash + decoded tx fields), the exact response bytes (sha256), structural conformance to the schema the service advertised, and grounded verdicts over the factual claims in the response. Returns delivery_verdict (consistent | degraded | inconsistent | unverifiable) with a rationale. GUIDELINES: Call AFTER a paid third-party call whose output you will act on or account for — data enrichment you bought, research you commissioned, any x402 purchase your principal will audit. Branch on delivery_verdict: 'consistent' -> proceed; 'degraded' -> use with caution, flag the refuted claims; 'inconsistent' -> do not rely on the delivery, keep the receipt as dispute evidence; 'unverifiable' -> nothing contradicted but nothing confirmed. Save the full response JSON — it is a self-contained dispute artifact verifiable offline months later (GET /attest/pubkey documents how). PARAMETERS: service — URL/name of the paid service. response_text — the delivered payload, verbatim. request_text (optional) — what was asked. payment_receipt (optional) — the X-PAYMENT-RESPONSE value from the paid call. advertised_schema (optional) — the JSON schema the service advertised. max_claims — 1..20, default 8. LIMITATIONS: Judges CONSISTENCY (as-advertised, not contradicted), never service quality. Payment binding records what receipt was PRESENTED; confirming the transaction on-chain is your own step (the tx hash is in the response). Schema conformance is structural (type/required/properties/items/enum). Content checking has the same source-coverage limits as verify_claim. Paid per call (x402). EXAMPLE: attest_delivery({"service": "https://api.vendor.xyz/enrich", "response_text": "{\"name\": \"APPLE INC\"}", "payment_receipt": "<X-PAYMENT-RESPONSE>", "advertised_schema": {"type": "object", "required": ["name"]}}) -> {delivery_verdict: 'consistent', payment: {bound: true, transaction: '0x…'}, attestation: {…}}
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  • Enumerate the live DPYC service network with self-described summaries. Reads the member roster from the dpyc-community registry, then (when ``probe=True``) performs a lightweight MCP handshake against each member's public service endpoint to fetch that service's *own* self-description and tool inventory. Nothing about the services is hardcoded here — descriptions are authored by each service, and prices come from each Operator/Authority pricing model (call the service's ``check_price``). Resilient by design: per-service timeout, partial results, brief caching, and a registry-only fallback when an endpoint is asleep or unreachable. A sleeping service never breaks the listing. Free, unauthenticated. Args: probe: Handshake each endpoint for a live self-description. Set False for a fast registry-only listing (no network fan-out). kind: Role filter — "all", "operator", "authority", or "advocate".
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  • 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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  • Use this tool when the user wants to see service packages with fixed pricing and scope for a specific type of service. This tool returns standardized packages offered by service providers, including pricing tiers, deliverables, and delivery timelines. Do NOT use this tool for custom project questions (e.g. "How much would it cost to build a custom app?"). It only returns providers' pre-defined, fixed-price packages, not a quote tailored to a specific project; use recommend_service_providers for those needs instead. Examples: - "Show me SEO packages" -> service="SEO" - "What web design packages can I get for $5,000?" -> service="Web Design", budget=5000 - "Marketing packages from agencies in New York" -> service="Digital Marketing", location="New York" Use `page`/`limit` for pagination.
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  • Get upcoming vessel arrivals and departures at a specific port. Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes. For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.
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  • Get upcoming vessel arrivals and departures at a specific port. Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes. For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.
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  • Get upcoming vessel arrivals and departures at a specific port. Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes. For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.
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  • Get upcoming vessel arrivals and departures at a specific port. Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes. For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules. PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions. Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.
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  • 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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