Skip to main content
Glama
470,223 tools. Updated 2026-08-23 06:48

"A guide to finding people on Yelp" matching MCP tools:

  • Create a third-party LEAD-GENERATION page about a business (NOT a site for that business itself). Use this when the goal is to drive qualified search traffic to someone else's business — affiliate pages, review/guide pages, niche directories. The page is branded as an outside guide (e.g. "Best Roofers in San Diego"), refers to the business in the third person, and routes CTAs to the business's existing website. Differences from create_site: - Slug + page brand are SEO-vanity (e.g. "best-roofers-sandiego"), not the candidate's brand name. - Voice is third-party guide/reviewer — never first person. - Primary CTA is "visit their website"; phone/email demoted. - No specific pricing quoted; differentiators emphasized. - Locality is judged by category, not just address (IT/SaaS/agency stays category-wide even when a city is on file). Pass a business candidate object from search_businesses — that business is the one being PROMOTED. Requires authentication via API key (Bearer token). Generate an API key at webzum.com/dashboard/account-settings. The page generation happens in the background. Use get_site_status to check progress. Returns the businessId (a vanity slug) which can be used to access the page at /build/{businessId}.
    Connector
  • Add a contact channel to a company or person. Wraps the resource-scoped REST endpoints (POST /v1/{companies,people}/:id/{emails,phones,web-links,locations}). channel + the matching value field: - email → value.email - phone → value.e164_number (E.164; a leading "+" is added if missing) - web_link → value.url (+ optional value.platform, default "website") - location → value.city, value.country (+ optional address_line1/2, region, postal_code) value.label is optional (defaults to "work"). NOTE: adding a phone is supported on a PERSON but NOT on a company (no endpoint) — that combination returns a clear error. To READ existing channels, use well_query_records on the parent (companies/people) or the channel root.
    Connector
  • How to operate as a product manager on AIOProductOS. No arguments and no side effects — returns the same operating guide as plain text every call (deterministic): how to ground in the product brain, keep work welded to the spine (insight→feature→task→outcome), prioritise on evidence (affected accounts + MRR + reach), and what 'done' means. Call it FIRST, before planning or prioritising, to load the house rules the other tools assume.
    Connector
  • ⚠️ UPSTREAM-UNRELIABLE — Yelp Fusion's /reviews endpoint has been 404-ing on most ids since mid-2026 even for valid businesses. PREFER `get_business` (which sometimes inlines a snippet) or `search_businesses` for review-context queries. If you must call get_reviews: pass the ENCRYPTED business id (long alphanumeric, e.g. "WavvLdfdP6g8aZTtbBQHTw") returned in search_businesses results — aliases / slugs (e.g. "garaje-san-francisco") reliably 404. Returns up to 3 review snippets per business (rating, text, author, timestamp); "limit" is capped by Yelp upstream regardless of what you pass.
    Connector
  • Head-to-head verdict for two games on needmoar.games: which one players like more, each game's community score (the share of a library it beats) and rank, and the full distribution of opinions on both. Use this to answer "do people prefer A or B?". Pass Steam appids — resolve names with search_games first. The response links to the matching /vs page you can cite.
    Connector
  • Free usage guide for this server. Explains how the paid report tools work: exact input requirements, per-call pricing, and how to complete payment via x402 (USDC on Base) or Stripe checkout. Costs nothing and never returns a 402. Call this first before any paid tool.
    Connector

Matching MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    Enables conversational interactions with Yelp's business data through an MCP server, allowing natural language queries about local businesses, multi-turn conversations, and direct business inquiries powered by Yelp Fusion AI.
    1
    26
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    MCP server for Yelp integration, enabling AI agents to search for local businesses, read reviews, view photos, check hours, find deals, and discover trending spots.
    12
    45
    MIT

Matching MCP Connectors

  • Yelp MCP — wraps the Yelp Fusion API (api.yelp.com/v3)

  • Trust signals for AI agents: an open agent-readiness standard and developer tool guide. Read-only.

  • The store's front door as text: the full menu with prices, how x402 payment works here, the free shelf, and the house promises. Free. Completes when the guide text returns. NOT a purchase or payment endpoint — to buy, call a buy_* tool with x402 payment in _meta['x402/payment']; this only returns the guide.
    Connector
  • List taxonomy facets and their value slugs across TCLP content. Facets are taxonomy categories like `sector`, `practice_area`, `application`, and `jurisdiction`. Each facet returns the list of slugs that actually appear on the graph, with counts. Use this to discover the vocabulary, then call `taxonomy_content` with chosen slugs. Args: scope: Which labels to include — `clause` (ClauseName only), `guide` (Guide only), or `all` (both, the default). Returns: JSON with "meta" and "facets". Each facet has `name`, `applies_to` (list of Neo4j labels carrying it), and `values` (list of `{slug, count}`, sorted by count desc).
    Connector
  • Compute the tip and per-person split for a bill. FREE. Typical input {"bill": 86.40, "tip_pct": 20, "people": 4} returns {"tip": 17.28, "total": 103.68, "per_person": 25.92}. Use for one bill shared among a group. Not for recurring household budgeting (budget_split). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "bill must be > 0 and people >= 1"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
    Connector
  • Compute the tip and per-person split for a bill. FREE. Typical input {"bill": 86.40, "tip_pct": 20, "people": 4} returns {"tip": 17.28, "total": 103.68, "per_person": 25.92}. Use for one bill shared among a group. Not for recurring household budgeting (budget_split). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "bill must be > 0 and people >= 1"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
    Connector
  • Search people by free text — name, company, keywords. Terms are OR-matched and ranked by how many match (more terms broadens, not narrows). To narrow: put AND between terms to require all (e.g. 'health AND medtech'), or prefix a term with + to require just it (e.g. '+rust berlin'). For roles/functions (founder, engineer, investor, …) use the `role` filter instead of free text — it catches title variants ('Founding Partner') that keywords miss, and free text over-matches bios/notes. To count people of a type, use structured filters and read `total` from the response — a free-text `total` counts keyword matches, not people of that type. scope:'own' (default) / scope:'public' (beyond your network + warm-intro paths). Optional company, location, skills, tags filters. A structured-filter zero = thin data, not absence — fall back to free text. Misspelled names/companies fall back to fuzzy matching (`fuzzy: true` = closest matches — confirm before trusting); concept queries with zero literal hits fall back to embedding similarity (`semantic: true` = related people, not literal matches). Free-text responses also return `strong_total` (rows matching ALL terms — the honest count) and per-row `matched_on` (which fields matched). In scope:'public', role/location/company/skills are applied to the global hits (`filtered: true`); filters that cannot apply there are listed in `unsupported_filters`.
    Connector
  • Search every document in the knowledge base by name, description, tag, path and type — people, places, themes, lexemes, commandments, events, epochs, books, chapters, sources and datasets alike. All terms must match (AND), so adding a word narrows the result. Use `type` to stop one collection swamping another: there are ~3,000 people AND ~3,000 themes, so an unfiltered name query is a coin flip between a person and a topic. This searches concept METADATA. To find a phrase in the text of Scripture use search_scripture; to fetch a reference you already know use get_passage.
    Connector
  • Returns the canonical guide for using TMV from a coding-agent context. Covers the fix-test-retest loop, how to write a good test prompt, how to read the actionTrail / consoleErrors / failedRequests outputs, and common gotchas. Call this first if you're a new agent on a project — it'll save you a debug session. The same content is served at https://testmyvibes.com/docs/coding-agents.
    Connector
  • Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.
    Connector
  • START HERE. Interactive guide for an agent that just discovered $BOBAI: what you can ask, what you can do, and which tool to call for each — plus the must-know fee-on-transfer rule.
    Connector
  • Returns the current skill cluster data for public jobs on the nü people website. Use this tool when the user wants an overview of which skills or technologies are currently in demand.
    Connector
  • Returns an official GuruWalk support guide for a specific traveler-support topic. GuruWalk is a platform for free walking tours and paid activities; these guides are GuruWalk's own source of truth on how bookings, cancellations, account settings and contacting guides actually work, including current policies and the exact URLs travelers should use. These guides apply only to bookings and accounts on guruwalk.com. Available topics: - account_settings: The traveler wants to manage their GuruWalk account: edit their details (name, surname, phone, city, password), change their email, stop receiving emails / unsubscribe, or delete their account; or they can't access their account. These are concrete steps you shouldn't improvise: consult this before answering. - contact_guru: The traveler wants to contact or coordinate something with the guide of their GuruWalk booking, or thinks they are talking directly to the guide: they can't find them at the meeting point, the guide didn't show up, they're running late, they treat you as if you were the guide, ask for the tour photos, or ask about bringing a pet or paying the guide, or have a question only the guide can answer. - free_tour_modification: The traveler wants to modify or reschedule their GuruWalk free tour — change the day, time, language or number of people — or asks how to do it. - group_booking: The traveler wants to book or extend a GuruWalk booking for a group (they usually say how many; treat it as a large group from around 6 people), asks how to book for many people, can't book for the whole group, sees a large-group notice or is asked for a card or payment for the group, or had a booking cancelled as "group or duplicate". The rules aren't intuitive; consult this before advising. - paid_cancellation: The traveler wants to cancel or change a paid activity booked on GuruWalk, asks about a refund, or can't cancel from their account. Call this when the traveler raises a support topic covered above. Pass the exact topic; the guide content is returned.
    Connector
  • Search patient discussion threads on community.navmds.com — the NavMDs forum where people discuss recovery timelines, what procedures actually cost them, choosing a surgeon, and what to expect. Use this for lived-experience questions ('what is rhinoplasty recovery like', 'how much did people actually pay for a tummy tuck', 'how do I pick a surgeon') where the doctor-directory tools can't help. Returns thread titles, categories, excerpts and canonical URLs; pass an id to get_community_thread for the full discussion. Community posts are patient discussion, not medical advice.
    Connector
  • Record something one person paid for the group. Split equally by default; pass split_between for a subset, or shares for an uneven split. One expense covers one set of people — a receipt whose items aren't all shared by everyone is several expenses, so call this once per group of items that the same people share, rather than splitting the total equally. Works on simple, accountless splits. Secure splits (created by a signed-in user) are read-only here and must be opened in a browser.
    Connector
  • Remove many elements across one or more clips in a single tool call. One entry per element ({clip_index, element_id}). Concurrency: parallel-safe (conflict domain: the individual element) — same as add_elements/update_elements. Each removal is a granular element_remove patch merged under a per-guide lock, and the whole batch lands in ONE save. Fan out across subagents freely; two edits to the SAME element id serialize. Do NOT run concurrently with whole-clip/whole-project mutations on the same guide (update_clips on that clip, structural clip ops, add_audio, update_project). To remove an audio track (not an element), use remove_from_project(target='audio').
    Connector