"A server for finding word definitions or information" matching MCP tools:

• add_sync_pointA

  CluesoA

  Insert one sync marker on a clip's transcript. Use this when: - The user is explicit about WHERE the camera should pause / cut (e.g. "sync the word 'submit' to 4.2s of the demo"). - `auto_sync` ran but missed a step you care about. How matching works: - `word`: case-insensitive, punctuation-stripped. The first match in the transcript is used unless `occurrence > 1`. - `occurrence`: 1-indexed — pass 2 to target the SECOND time that word appears, 3 for the third, etc. Required when the word repeats. - `timestamp_seconds`: clip-relative seconds. When the clip has run TTS already (`generated_timestamps` present), the server inverse-maps this to original-recording seconds automatically. Constraints: the clip MUST be a video clip with a source recording (otherwise the frame thumbnail can't be extracted). The transcript must already contain the word — if not, you'll get `word_not_found` with a 200-char excerpt of the transcript to help you retry.

  ConnectorNo auth

• analyze_listingA

  BuyerAwareA

  Start a BuyerAware pre-purchase verdict on ONE used vehicle. Runs a mechanic-grade read: ranked failure points with $ exposure, recalls, seller-claim fact-check, fair price range, adjusted true cost, risk score 1-10, BUY / BUY_WITH_CONDITIONS / WALK_AWAY, a word-for-word negotiation script, and lower-risk 'Tank' alternatives. Supply whichever of listing_url, listing_text or vin you have — at least one is required, and more context sharpens the verdict. Takes ~1-2 minutes: returns a job_id, then poll get_verdict. Costs 1 credit. For 'what should I buy instead' use tank_alternatives, which is free.

  ConnectorNo auth

• explain_findingA

  MalinoisA

  Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.

  ConnectorNo auth

• pronunciationA

  CluesoA

  Read and edit the workspace pronunciation dictionary (Settings → Team → Pronunciation Dictionary). Use it whenever the user asks how a word, name or acronym is said. Do NOT respell the word in the voiceover script instead: the respelling shows in the script and captions, and every new video needs the fix again. An entry is WORKSPACE-WIDE: it changes the word in every video in this workspace; tell the user when you add or change one. It applies when speech is generated, so regenerate (voiceover_batch generate_speech) the clips that say the word. action: • list — entries for `language` ("" for all): {entries: [{word, spelling, ipa, language, case_sensitive}], count} • set — add or change `word`'s entry with exactly one of `spelling` (a sound-alike respelling, works on every voice; prefer it) or `ipa` (IPA phonemes, English ElevenLabs voices only, ignored on clips with [audio tags]). An existing entry is not overwritten: you get error "entry_exists" with `current`; show the user both, confirm, then call again with replace: true. • remove — delete `word`'s entry in `language` (exact spelling and casing) • to_ipa — convert `text` (e.g. a respelling) to IPA, to check an ipa entry before setting it Editing needs an editor or admin role and a plan with the dictionary; a refusal says which: tell the user, don't retry.

  Connector

  Destructive

  No auth

• table_metaA

  Stat GlA

  Fetch dimension definitions and valid coded values for a Statistics Greenland PxWeb table. Path must be the full sub-path ending in '.px'/'.PX' (e.g. 'BE/BE01/BEXSAT1.PX'). Returns dimensions with codes and value lists — use these to build the selection body for query_table.

  ConnectorNo auth

• teapplix_set_order_ship_optionsA

  ActionShip by Teapplix DemoB

  Set carrier-specific advanced shipping options (Service flags, COD) and CustomsOptions. For the common sparse options — InsuranceType and Delivery.Signature / Delivery.Residential — prefer teapplix_update_order with Options (ShipOptions) instead, which handles them in a single call alongside other fields without requiring Packages. Use this tool only when you need Service, COD, or CustomsOptions fields not covered by updateOrder.Options. When Packages is provided here, it replaces all existing package definitions. [DEMO]

  ConnectorNo auth

• get_segmentsA

  Wafergraph MCPA

  The wafergraph taxonomy: 12 top-level supply-chain segments (materials through ai_datacenter) and their subsegments, each with a live company count, plus the market_position enum. Use this to discover valid `segment` values for search_companies/get_deals. Segment definitions are a versioned snapshot (see data.taxonomy_snapshot_date) while company counts are computed live.

  ConnectorNo auth

• check_endpointA

  cerberus-indexB

  Endpoint & tool trust — one call before an agent connects to a third-party MCP server or HTTP tool. Pass the endpoint `url` (and, to unlock the strongest check, its `tools`: the name/description/inputSchema the agent is about to trust). Returns three signals behind one verdict: (1) transport & TLS identity — encrypted, valid chain, not expired or self-signed; (2) domain age via RDAP — freshly-registered hosts are a scam tell; (3) a TOOL-POISONING scan of the tool definitions for the hidden directives that hijack agents — instruction overrides, 'don't tell the user', data exfiltration, secret harvesting, tool-shadowing, and invisible-unicode / homoglyph steganography that a human reviewer can't see. Nobody else screens tool descriptions for injection. Verdict: trusted | caution | untrusted | unknown, with per-finding evidence. Price: $0.008 USDC. Missing something? Call `submit_feedback` (free) to request it. Pass `attest=true` to also get an Ed25519-SIGNED attestation of this verdict — portable proof you can log, hand to a counterparty, or verify later with `verify_attestation` (free) or the published key.

  ConnectorNo auth

• get_tier1_recommendationsA

  Tier1 IT AssessmentA

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

  ConnectorNo auth

• compareA

  trimtab-aisA

  Put two subjects on the same axis over the same months and compute the difference: two origin countries, two commodity chapters (or HS6 codes), or two US gateways, measured on trade weight, value, unit value, tariff burden or duty paid. Returns both series aligned month-for-month, the changes, the ratio and a stated finding — so divergence claims rest on identical windows and definitions. Use for "is trade shifting from China to Vietnam", "do Indian goods pay more than Mexican goods", "is Houston growing faster than Savannah". For two ORIGINS on a specific commodity it ALSO returns `landed_cost` — the duty-inclusive $/kg for each origin AND the FOB price premium the lower-duty origin can carry at the factory and still match landed customs cost. That headroom % is the exact number to put in front of a buyer ("we can be N% pricier than China and you pay the same landed"); it also reports which origin actually lands cheaper today, so the duty gap is never oversold. Both subjects must be the same kind; to compare more than two, call twice. burden_pct/duty_usd come from nationwide receipts and are not available for kind "gateway". No API key required.

  ConnectorNo auth

• compareA

  us-tariff-ledgerA

  Put two subjects on the same axis over the same months and compute the difference: two origin countries, two commodity chapters (or HS6 codes), or two US gateways, measured on trade weight, value, unit value, tariff burden or duty paid. Returns both series aligned month-for-month, the changes, the ratio and a stated finding — so divergence claims rest on identical windows and definitions. Use for "is trade shifting from China to Vietnam", "do Indian goods pay more than Mexican goods", "is Houston growing faster than Savannah". For two ORIGINS on a specific commodity it ALSO returns `landed_cost` — the duty-inclusive $/kg for each origin AND the FOB price premium the lower-duty origin can carry at the factory and still match landed customs cost. That headroom % is the exact number to put in front of a buyer ("we can be N% pricier than China and you pay the same landed"); it also reports which origin actually lands cheaper today, so the duty gap is never oversold. Both subjects must be the same kind; to compare more than two, call twice. burden_pct/duty_usd come from nationwide receipts and are not available for kind "gateway". No API key required.

  ConnectorNo auth

• check_mcp_serverA

  MCP Surface LintA

  Statically audit an MCP tool surface from a public HTTPS URL or tools/list snapshot. Returns deterministic scores and findings without invoking any target tool or making LLM calls. When the user asks to check another installed MCP server, read that server's complete tool definitions from client context and pass them as snapshot (MCP `name` or Cursor-style `tool` both work; do not use file paths or $ref). If those definitions are unavailable, ask the user for its public endpoint or tools/list JSON instead of inventing an audit.

  ConnectorNo auth

• analyze_audioA

  CluesoA

  Analyze an audio file. Modes: - transcript: Speech-to-text with word-level timestamps — returns `{language, full_text, words}` where each word is `{word, start_ms, end_ms, punctuated_word}`. ⚠ MILLISECONDS here; get_clip's `voiceover_words` gives the same words in SECONDS as `{word, start, end}`. Use for caption timing, script editing, or word-level visual sync. Works on narration and on sung lyrics: the provider is picked from the content, and if it returns nothing the other one is tried automatically. So an empty `words` means the audio genuinely has no intelligible speech, not that the wrong engine ran. - silences: returns `{silences, total_silence_ms}`, each span `{start_ms, end_ms, peak_db}`. Use for auto-trim, smart-split, or pause-aware editing. - beats: returns `{tempo_bpm, beats_ms}` — beats_ms is an array of MILLISECOND positions. Empty for non-music. Use to align animations/zooms to a beat. - features: returns `{duration_ms, peak_db, rms_db, lufs, has_music, has_speech, speech_share}` — loudness plus two INDEPENDENT hints — `has_music` (beats hold a steady period) and `has_speech` (at least 40% of the audible seconds sound like talking; `speech_share` is that share, 0-1). Instrumentals read false; so do sung vocals and narration under a loud bed, so when the words matter, use transcript. Cheap dispatcher — call once to pick a mode, or for duration_ms to pass as add_audio's source_duration. - energy: loudness over time — `{samples_per_second, start_ms, db}`, db one RMS dBFS value per 1/samples_per_second s from start_ms (default 4 a second; energy_options.samples_per_second 1-20). Read builds, dips and hits from it. - sections: how a track is built — `{loud_db, sections: [{label, start_ms, end_ms, db, onsets_per_s}], drops: [{t_ms, rise_db, quiet_start_ms?, quiet_end_ms?}]}`, label intro | build | drop | main | breakdown | outro; a drop's t_ms is the hit (within ~10 ms), quiet_* the dip just before it. Set animation cues on beats (beats mode) or drops. - describe: what the audio IS — `{kind: speech|music|mixed, classification_confidence, duration_seconds, music?: {tempo_bpm, key, mood, genre, energy, instruments, description, suggested_search_query}, speech?: {...}}`. Pass suggested_search_query to find(type='music') for a similar track. Speech is not transcribed here; use transcript for the words. Source: provide exactly one of mcp_upload_id (from upload tool) or file_url (already-public URL, e.g. a find(type='music') result or Clueso CDN file). Optional time range: range_start_ms / range_end_ms crops the analysis window.

  ConnectorNo auth

• get_facility_staff_rosterA

  Georgia Prisoners' Speak Public DataA

  Staff headcount and list for one GDC facility, from a GDC-produced roster. Answers "how many staff work at X", "how many officers work there", "list the staff at X". `slug` is the facility slug, e.g. 'dooly-state-prison' (use list_facilities to find it). `title` optionally filters by job title. GDC abbreviates heavily: correctional officers appear as "Correctional Ofc", clerical staff as "Admin Support" or "Admin Assistant". Try both the plain word and the abbreviation. ALWAYS report the `observed` date alongside any figure from this tool. A roster is a single-day observation, not a statement about who works there today. A zero for a role is a finding about the roster rather than missing data: the roster holds no nursing, physician or dental titles anywhere in GDC, which is consistent with medical staffing being contracted rather than directly employed. Do not assert that reason as established fact.

  ConnectorNo auth

• propose_descriptionA

  ShearQuery — Barber & Beauty Industry DataA

  Draft a new Google business description (up to 750 characters; 250+ reads best). Google suspends listings over this field, so the draft is refused if it contains a link, phone number, email, prices or offers, HTML, all-caps shouting, or repeated keywords. Write it about what the business actually does, from my_google_profile. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

  ConnectorNo auth

• propose_attributesA

  ShearQuery — Barber & Beauty Industry DataA

  Draft yes/no answers to attributes from my_attribute_options. Each is a factual claim about the business, so only draft answers the owner has confirmed in this conversation. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

  ConnectorNo auth

• propose_review_replyA

  ShearQuery — Barber & Beauty Industry DataA

  Draft a public reply to one review, using its id from my_reviews. Replaces any existing reply. Two or three sentences in the owner's voice; never offer discounts, argue, or share personal details. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

  ConnectorNo auth

• propose_booking_linkA

  ShearQuery — Barber & Beauty Industry DataA

  Draft a change to the link behind the listing's Book button. Links set by a booking provider cannot be changed here. Social media and Google links are refused because they are not booking pages. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

  ConnectorNo auth

• propose_photoA

  ShearQuery — Barber & Beauty Industry DataA

  Draft adding a photo to a category (COVER, EXTERIOR, INTERIOR, AT_WORK, TEAMS, PROFILE, LOGO) from a public https link to a JPEG, PNG or WebP. For a photo on the owner's phone or computer, use upload_photo instead. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

  ConnectorNo auth

• propose_photo_removalA

  ShearQuery — Barber & Beauty Industry DataA

  Draft deleting one photo from the listing, using its id from my_photos. This one cannot be undone. Creates a DRAFT only — nothing on Google changes. Show the owner the draft this returns, word for word, and publish it with publish_change only after they say yes.

  ConnectorNo auth

• search_entitiesA

  NEXUS AGIA

  Find entities by name or description, or filter them by type and attributes. With ``query``: returns ranked candidates, each with ``method`` (how it was found), ``score`` (0-1), ``legacy``, ``relaciones`` (counts by state) and ``contexto`` (up to 4 relations, current first, to tell similarly named entities apart). Methods, most to least reliable: exacta, alias, parcial (whole word or same words), semantica (name similarity) and memoria (entity mentioned in the closest episodes). semantica and memoria results appear only for multi-word queries and are candidates, not confirmed matches. A single word with no lexical match returns []. If nothing is found, the item may still exist in memory without being an entity (see retrieve_memories). Without ``query``: returns all entities matching entity_type and/or the given attribute values, with no result limit. With no query and no filters it returns every entity. Args: query: A name, part of a name, or a short description. entity_type: Filter by type (only without query). 'unclassified' means entities whose type is not known. attributes: Exact attribute key-value pairs to match (only without query). limit: Maximum results for a query search (1-50). via_memoria: With query, set False to skip episode-based matches and search names only.

  ConnectorAPI key