Travel & local
632 servers, 3248 tools — a rough corpus-diversity category (see methodology), not a rigorous similarity match. 14 scored, 1 insufficient data, 3233 not yet tested — coverage here means the deep-tier probe, not the corpus-wide shallow score.
Ranked within measurement tier, same as search — a shallow-tier tool is never pushed down for having less data.
- ask_about_hotelio.github.roomza-inc/roomzadeep97.4
Ask a specific question about a hotel that standard data may not answer. Uses AI with web search to find the answer. Examples: 'Does this hotel have Eiffel Tower views?', 'Is there a rooftop bar?', 'How far is it from the airport?'. Try get_hotel first; use this only when that data doesn't answer the question.
- ask_snowdataai.snowsure/snowdeep81.5
Text-only Q&A grounded in SnowSure data (~1s). Use for open-ended questions, terrain %, expert-run counts, advice, AND specifically: El Niño / ENSO / 2026-27 winter outlook (or call get_elnino_signal / get_elnino_rankings), head-to-head resort comparisons (annual snowfall, vertical drop, base/summit elevation, skiable area — "which has more snowfall, Niseko or Whistler"), season-opening norms ("which resort typically opens earliest", "usually open by Thanksgiving"), glacier / year-round skiing, and factual resort & geography trivia (what country/state/island a resort is in, named runs like Corbet's Couloir, records like the highest chairlift). NEVER use for photo/gallery/picture requests (→ get_resort_photos) or resort guide cards (→ get_resort_info). Does NOT render UI cards.
- a2a_bridge_infocom.lvlltd/skill-marketshallow100.0
A2A↔MCP bridge topology for LVL: when to use A2A vs MCP vs x402. Free.
- a2a_cardio.github.ANAMIZED/deskshallow100.0
A2A Agent Card. Skills, JSON-RPC endpoint, auth.
- a2a_discovercom.lvlltd/skill-marketshallow100.0
A2A bridge: fetch the marketplace Agent Card (/.well-known/agent-card.json). Free. Use before a2a_message_send.
- a2a_message_sendcom.lvlltd/skill-marketshallow100.0
A2A bridge: send message/send to the LVL A2A agent. Supports multi-turn via task_id+context_id. Does not settle payment — use purchase_skill / x402 for money.
- a2a_tasks_cancelcom.lvlltd/skill-marketshallow100.0
A2A bridge: tasks/cancel — cancel an in-flight multi-turn task.
- a2a_tasks_getcom.lvlltd/skill-marketshallow100.0
A2A bridge: tasks/get — poll stored multi-turn task by id.
- about_skillfoliostudio.skillfolio/skillfolioshallow100.0
What Skillfolio is: an AI-rebuilt resume plus a conversational portfolio website with an AI chatbot employers can question. Covers the product thesis, features, and what it deliberately does not do.
- accept_team_invite_requestio.favcrm/favcrmshallow100.0
Step 1 of agentic team invite acceptance. Validates an invite token and sends a 6-digit verification code to the invited email. Then call accept_team_invite_verify with the code to join and receive an MCP API key.
- accept_team_invite_verifyio.favcrm/favcrmshallow100.0
Step 2 of agentic team invite acceptance. Verifies the emailed code, joins the invited user to the company, and returns a one-time MCP API key for that user.
- action_safety_quick_gateio.github.JesseGdotIO/hermes-plantshallow100.0
AI agent action safety quick gate ($0.01 over x402 or free-tier quota). Deterministically scores a consequential action and returns the exact next call: proceed, request full DestructGuard evidence, or run the complete Action Safety workflow.
- action_safety_runio.github.JesseGdotIO/hermes-plantshallow100.0
Complete AI agent action safety workflow ($0.25 over x402 or free-tier quota): DestructGuard evidence, conditional ReviewQueue triage for high or critical risk, an honest decision, signed receipt, and 30-day status record. Triage does not imply human approval.
- adddev.fly.solidus-x402/solidusshallow100.0
Adds two numbers and returns the sum.
- addio.github.johnanleitner1-Coder/lastminute-bookingshallow100.0
Adds two numbers and returns the sum.
- add_activitycom.iconic-expeditions/conciergeshallow100.0
Add an activity to a specific day and time slot (morning/afternoon/evening). Optionally link to a content item using its type and id. Requires a bearer token.
- add_checkpointmarket.mundane/mundaneshallow100.0
Put a big button on the worker's page for a moment you care about. When they press it you get a `checkpoint` event in await_interactive_events -- the way to stop live mode on the walk to the aisle and come back at the right place. Up to 6 armed at once; each fires once. For a question, arm one button per answer in the same `group`. When the worker has pressed `picks` of them, the others clear from their page (status `cleared`, listed in the event's `cleared`), so they don't linger beside your next question. An answered group can't be reused: give the next question its own.
- add_connectionai.bowmark/bowmarkshallow100.0
Get a sign-in link for one site, so the user can sign Bowmark in to it right now, before any run needs it. Pass the site as a domain (`youtube.com`), a URL, or a provider id. **Call this whenever the user asks to log in, sign in, connect or link an account on a site** — never send them to the Bowmark Link extension or the dashboard to do it themselves. It returns `url`, a single-use link that expires (`expiresAt`). Give the user that URL and say which site it is for. On that page they sign in with Bowmark's own browser, or, in desktop Chrome with Bowmark Link installed, press "Use Chrome extension" to send the login that Chrome already holds. Then call `wait_for_sign_in` with the returned `ref`: it answers the moment they finish, and every later run uses the new login. When Bowmark cannot sign in to that site, it says so and returns `sites`, the sites it can sign in to. Tell the user plainly. Do not offer a workaround that asks for their password. A public page on that site still works without a login: `get_library` shows what can read it. To sign back in to a saved login that stopped working, pass its `id` from `list_connections` as `connection`. The fresh session goes into the SAME id.
- add_daycom.iconic-expeditions/conciergeshallow100.0
Append an extra day to a concierge itinerary and increment num_days. Requires a bearer token.
- add_flightio.github.aneduaim/untap-mcpshallow100.0
Adds a flight to the person’s Untap account and returns the UK261 or EU261 verdict, the amount and the airline’s claim link. For past flights Untap checks AeroDataBox flight-status records; the status, delay and actual arrival fields are optional, and when left out Untap looks them up. Takes the airline’s two-letter IATA code (BA, U2, FR) and three-letter airport codes (LHR, BCN). When the airports given differ from the flight-status record, the result says so. Compensation applies to arrival delays of 3 hours or more and to cancellations. Requires sign-in to Untap.
- add_funds_10io.github.Spacemandomains/hawaii-conditionsshallow100.0
Charge your saved card $10 — balance credited after Stripe payment confirmation. Free to call.
- add_funds_20io.github.Spacemandomains/hawaii-conditionsshallow100.0
Charge your saved card $20 — balance credited after Stripe payment confirmation. Free to call.
- add_funds_5io.github.Spacemandomains/hawaii-conditionsshallow100.0
Charge your saved card $5 — balance credited after Stripe payment confirmation. Free to call.
- add_knowledge_fileio.agent4/agent4-tenantshallow100.0
Add a local file's content to a knowledge base (txt/md/html/pdf/docx). **This MCP runs on the platform server and cannot read paths on YOUR machine.** For text files, read the content yourself and call `add_knowledge_text`; for binaries (pdf/docx), upload via the console, or curl `/knowledge-bases/{name}/documents/upload`. **To ingest a whole folder, zip it and send that one endpoint** — subdirectories are walked, md/txt/pdf/html/docx are ingested one by one, and document names use the in-archive relative path (`2025/rates.pdf` vs `2026/rates.pdf` therefore never collide). Images, `.DS_Store` etc. inside the zip are ignored; if the archive contains an encrypted, corrupt or abnormally high-compression file, **the whole archive is rejected** naming the offending entry.
- add_knowledge_textio.favcrm/favcrmshallow100.0
Add a free-form text document to the knowledge base. Use for pasted policies, FAQs, internal notes, brand voice references — anything the agent should be able to retrieve later. Stored as a single document; agent-side embedding/retrieval happens elsewhere.
- add_knowledge_textio.agent4/agent4-tenantshallow100.0
Add a **text** document to a knowledge base (chunking + embedding happen synchronously; returns the real chunk count). For **local files** (pdf/docx…) see `add_knowledge_file`.
- add_parking_fineio.github.aneduaim/untap-mcpshallow100.0
Adds a UK parking ticket (a council PCN or a private parking charge) to the person’s Untap account and runs Untap’s appeal-grounds engine. Returns the grounds that may apply, how confident the match is, the appeal route and deadline. Grounds are matched against the contravention, the location and observed_notes; with no observed_notes, only general grounds come back and the result is a possible appeal, not money owed. Requires sign-in to Untap.
- add_passportapp.nomadpoint/nomadpointshallow100.0
Record a passport from its details alone (no scan needed). Also adds the country to the user's nationalities, which is what visa answers are computed from.
- add_playersapp.turnale/turnaleshallow100.0
Add players to the roster in bulk (parse pasted lists or spreadsheets yourself and send structured entries — never invent placeholder names; use signup mode when names aren't known yet). Duplicate names are rejected for disambiguation. If an unlocked draw exists it is regenerated automatically.
- add_special_requestio.github.roomza-inc/roomzashallow100.0
Add a special request to one of your bookings (e.g. extra pillows, late checkout, anniversary celebration). Requires connecting your Roomza account.
- add_tfl_journeysio.github.aneduaim/untap-mcpshallow100.0
Adds TfL contactless journeys to the person’s Untap account, up to 500 rows per call, and checks everything they have saved for incomplete journeys, missed Hopper fares and other overcharges. Each row carries flags for an incomplete journey, a revenue-inspection maximum fare, a free Hopper fare, a TfL correction and the daily or weekly cap, as shown on the statement. Journeys already saved are skipped. Refunds follow the same rule as the TfL check: an incomplete journey without a destination is an upper limit equal to the whole charge, and one with intended_destination is an estimate. Requires sign-in to Untap.
- add_to_kept_tripus.thistripbtw/tripsshallow100.0
Add a stop to a trip the person has KEPT (a link with #k=), on their behalf. Use when they say 'add X to the trip', 'we're stopping at Y on the way', 'put the hotel on it'. Needs their EDIT phrase — a view phrase can read but not write, and the tool says so. Writes exactly one stop and returns the trip's current stop count. Like read_kept_trip this touches the network: the #k= phrase is the password and it goes to thistripbtw.us over TLS, nothing is stored about you, and a wrong phrase counts as a guess. Treat the link as a credential.
- add_train_journeyio.github.aneduaim/untap-mcpshallow100.0
Adds a UK train booking to the person’s Untap account and works out Delay Repay for it. One booking per call, with each journey in legs (one for a single, two for a return, in travel order). Untap checks National Rail’s Historical Service Performance records for each journey; the delay, actual arrival and cancellation fields are optional, and when left out Untap looks them up. Operators accept one journey per claim form, so a return with both directions late means two claims. A train journey that is already saved is returned as it is, not saved twice. Requires sign-in to Untap.
- add_trip_itemcom.getmyhotels/getmyhotelsshallow100.0
Add an item (hotel, flight, activity, etc.) to a saved trip on a given day.
- advisoriesio.github.pipeworx-io/travel-advisoriesshallow100.0
List current US State Department travel advisories. Filter by country keyword and/or minimum threat level (1=normal precautions, 2=increased caution, 3=reconsider travel, 4=do not travel). Sorted by threat level (highest first).
- advisoryio.github.pipeworx-io/travel-advisoriesshallow100.0
Get the current US travel advisory for a single country. Pass the country NAME (recommended), e.g. "Japan", "Mexico". A State Department 2-letter country code also works (note: these are NOT ISO codes — e.g. Japan is "JA").
- agent_exampleio.github.RubenTay/agent-vending-factoryshallow100.0
POST /agents/agent_example/run — Single-turn Claude Sonnet inference endpoint. Input: {question: string, max_tokens: integer (default 1024)}. Output: {success, answer, usage: {input_tokens, output_tokens}, error}. No tool use or agentic loop — direct model call. Use for QA, summarisation, or classification tasks. Cost: $0.0100 USDC per call.
- agent_job_statustech.seaweb/seawebshallow100.0
Check status of an asynchronous STORM or Dataset agent job. Authenticated, caller-owned lookup. Missing and wrong-owner job IDs return identical indistinguishable 404 responses.
- agent_meio.github.ANAMIZED/deskshallow100.0
Current agent profile from the Bearer key.
- agent_tasksio.github.saybanet/sayba-platformshallow100.0
Agent task automation: create, manage, and execute automated tasks. Pause, resume, and publish agent tasks. Requires API key.
- agent_zoneio.github.saybanet/sayba-platformshallow100.0
Agent Zone community: browse posts, view 🔥 discussions (recent Agent-to-Agent talks), ⚔️ viewpoint clash (Agents with opposing views), 🤝 active agents, stats, topics, consensus guard. Public for browsing; consensus/reasoning/batch require API key.
- ai_visibility_checkio.github.pipeworx-io/aviationstackshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/clash-royaleshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/data-toursshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/duffelshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/flightsshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/in-bmvshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/mast-nasashallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/nbp-plshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
- ai_visibility_checkio.github.pipeworx-io/skiddleshallow100.0
Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.
Showing 50 of 3248 tools, ranked within a sample — see methodology for how ranking works.