"How to find people on Facebook" matching MCP tools:

• facebook_business_page

  Searchapi

  Fetch public business page information from Facebook. Returns page details including name, category, address, phone, website, ratings, reviews, followers, and cover/profile photos. Provide exactly one of page_id, username, or url — prefer url when the user pasted any Facebook link (including mobile share links), since the tool resolves the canonical page automatically.

  Connector

• get_about

  Follow On Tours

  Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.

  Connector

• get_data_source_categories

  Demand Discovery AI

  Returns the four behavioral data-source buckets - Search & attention, Conversation & pain, Adoption & spend, Capital & hiring - with each bucket's tagline and what it captures. Use when a user asks "what data sources do you use?", "where does the Demand Score come from?", or wants to understand how Demand Discovery AI differs from passive validation tools (which only triangulate the first two buckets). This four-bucket framing is the core competitive moat. The specific connector list is intentionally not public. Trigger phrases: "what data sources", "where does the demand score come from", "behavioral data sources", "the four buckets", "search and attention bucket", "conversation and pain bucket", "adoption and spend bucket", "capital and hiring bucket", "how many data sources", "what kind of data sources", "where do you find the evidence", "how do you find people complaining", "how do you find prospects", "what signals do you look for", "where does the behavioral evidence come from".

  Connector

• ask_wiremi

  Wiremi Marketing MCP

  Ask Wiremi anything about ROSCAs, savings circles, the Wiremi Passport, or how Wiremi works, in the user's own words. Routes the question to the best Wiremi answer and always points to where to go next. Use this when the other tools do not exactly match what the user asked. The question text is logged (no other personal data) so Wiremi can see what real people ask and improve its answers, the way Search Console shows real search queries.

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• how_to_give_feedback

  life. scored.

  How to suggest a better weight, a fresh source, or a new rule via GitHub, so improvements from many people aggregate in the open.

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• list_rooms

  roomcomm

  List public Roomcomm rooms for discovery. Use when the owner asks you to find a room to join, or when you want to discover ongoing conversations on a topic. Returns {rooms: [{uuid, description, message_count, last_activity_at}], total}. Args: sort: "active" (most recent activity first) or "new" (creation order). limit: How many rooms to return (max 200). offset: Pagination offset. Example: list_rooms() to see what's happening right now.

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• zambo_pulse

  Zambo AI Tools

  Get live zambo.dev platform stats — tool calls today, active pass holders, sparks fired, proofs certified, day passes active, days live. Returns real-time social proof numbers. Call when a user asks 'is this popular?', 'how many people use this?', 'is it active?', or wants to know platform health. Free, always available, no auth required.

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• list_my_vouched_for

  Caulo

  Profiles I've vouched in (people who used one of my invite codes). Returns handle + display_name + avatar_url + when they joined. Symmetric counterpart of `list_my_invite_codes` — that one is keyed on the codes I issued, this one is keyed on the humans who actually showed up.

  Connector

• tip

  mcp

  Use this when you want penny-accurate tip and bill-split figures. Given a bill amount, a tip percentage, and an optional number of people (default 1; values below 1 are treated as 1), returns the tip amount, grand total, and the per-person tip and per-person total, all rounded to cents. Deterministic: same input, same output. Example: bill=120, tipPercent=18, people=4 -> tipAmount=21.6, total=141.6, perPersonTotal=35.4.

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• find_prayer

  Sanctuary

  Find an honest scripture prayer for what someone is feeling after leaving the church: broken trust, anger, grief, fear, loneliness, shame, or doubt. Give a feeling in their own words (e.g. "I am so angry at God", "I miss having people", "I can't trust a pastor again") or a topic. Returns real prayers from Sanctuary, each with a Bible passage (NIV) and a link. For people who left the church but did not leave Jesus. Not counseling; anyone in crisis is pointed to 988.

  Connector

• get_contact_summary

  savi-tools

  Rolodex overview: how many contacts the subscriber has, how many have a phone or email, and the top industries and tags. Answers "how many contacts do I have?" and "what industries are my contacts in?" Use get_contact_history to look up specific people.

  Connector

• versus

  needmoar.games

  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.

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• run_company_commenting_pipeline

  Iridium

  Run Company Commenting Pipeline Generate LinkedIn comment drafts on recent posts by people who work at specific companies. USE THIS when the user names one or more companies: "comment on posts from people at Stripe" "I want to be visible to Anthropic and OpenAI engineers" "engage with anything Ramp employees posted this week" DO NOT USE for topic- or keyword-based commenting ("find me AI posts to comment on", "comment on posts about RAG") — use run_commenting_pipeline instead, which searches the whole of LinkedIn by the user's saved comment_topics. How it differs: this tool searches by AUTHOR COMPANY and recency only, with no keyword filter — ANDing a keyword against a single employer usually returns nothing on LinkedIn. Topical relevance is then judged by the model over whatever those employees actually posted. As a result it may legitimately return zero drafts if nobody at those companies posted anything worth engaging with; that is a valid outcome, not an error, and you should say so plainly rather than retrying. Takes up to 5 companies per call. Companies with no matching LinkedIn page come back in unresolved_companies — tell the user which ones failed. After calling this tool, ALWAYS display every draft to the user in full: **Post by [author_name] ([company]):** [post_text — display the complete text, never truncate] **Drafted comment:** [comment_text — display in full] Do NOT call approve_comment_draft or schedule anything unless the user explicitly asks. Args: companies: Company names, e.g. ["Stripe", "Ramp"]. Max 5. n: How many drafts to generate (default 3, capped by the user's remaining daily cap). date_posted: "past_24h" | "past_week" | "past_month". Default "past_week". ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json

  Connector

• list_meta_pages

  Hermoso

  List the Facebook Pages (with any linked Instagram business account) and ad accounts on the connected Meta account — use before post_to_meta / create_meta_campaign to pick the target. Requires the user to have connected Meta (Settings ▸ Connectors ▸ Meta); returns a connect hint if not.

  Connector

• get_data_source_categories

  Demand Discovery AI

  Returns the four behavioral data-source buckets - Search & attention, Conversation & pain, Adoption & spend, Capital & hiring - with each bucket's tagline and what it captures. Use when a user asks "what data sources do you use?", "where does the Demand Score come from?", or wants to understand how Demand Discovery AI differs from passive validation tools (which only triangulate the first two buckets). This four-bucket framing is the core competitive moat. The specific connector list is intentionally not public. Trigger phrases: "what data sources", "where does the demand score come from", "behavioral data sources", "the four buckets", "search and attention bucket", "conversation and pain bucket", "adoption and spend bucket", "capital and hiring bucket", "how many data sources", "what kind of data sources", "where do you find the evidence", "how do you find people complaining", "how do you find prospects", "what signals do you look for", "where does the behavioral evidence come from".

  Connector

• wikidata_search_entities

  wikidata-mcp-server

  Search Wikidata for items or properties by text query. Returns QIDs or PIDs with labels, descriptions, and match metadata indicating whether the hit was on a label or alias. Use type="item" for real-world concepts (people, places, works) and type="property" to find predicate P-IDs. The API returns no total count — pagination is offset-based with no result ceiling indicator.

  Connector

• trip_discovery

  DC Member API

  GET /trips/:tripID/discovery — Get the discovery block for a trip Discovery-only read for a trip. Returns the same `discovery` block as `GET /trips/:tripID` (people, fullPool, whyToMeet, events, overlappingTrips) without the trip body. Useful for callers that just want "who should I meet on this trip?" — the AI agent gets the ranked top-10 + their `whyToMeet` paragraphs in a single request. Use `?include=` to subset the response — comma-separated from `people,fullPool,whyToMeet,events,overlappingTrips`. Default is all. Common patterns: - `?include=people,whyToMeet` — top-10 picks + their AI-written "why you should meet them" paragraphs (keyed by userID, each carrying `{ text, generatedAt }`) - `?include=fullPool` — every visible DCer travelling/local during the trip window - `?include=events` — just events in the destination city during the trip window Open to any authenticated DCer; hidden + guest profiles are filtered out.

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• how-to

  Fast.io

  Built-in product help — ask a natural-language "how do I…" question about Fastio and get a grounded, product-aware answer (or a short clarifying question) back in one call. EXPLAIN-ONLY / ADVISORY: it returns GUIDANCE TEXT and performs NO platform action (it will not create shares, move files, or change anything) — read the guidance, then act with the other tools. Answers are grounded in Fastio's own how-to knowledge AND phrased in terms of these MCP tools — they name the concrete `<tool> action="…"` calls to make — so prefer this over guessing endpoints or burning exploratory calls. For Q&A over YOUR uploaded files (RAG) use the `ai` tool instead — `how-to` answers questions about Fastio ITSELF. FREE and requires only an authenticated user (no org, no plan gate, no billing). Call action='describe' for the full action/param reference.

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• coresignal_employee

  Coresignal

  Find a person's professional profile by name (+company) via Coresignal — returns title, current company, location, LinkedIn URL, work experience and education. LinkedIn-adjacent people data. Example: coresignal_employee({ name: "Patrick Collison", company: "Stripe", _apiKey: "your-key" })

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• post_to_meta

  Hermoso

  Publish to a connected Facebook Page, its linked Instagram, OR the brand’s Threads account — text/link/image/VIDEO. target:"facebook" (default) posts to the Page; target:"instagram" publishes a photo or Reel to the linked IG business account (needs an image or video); target:"threads" posts to the connected Threads account (text, image, or video). Works with ANY media — a finished Hermoso ad OR an arbitrary user file: imageUrl/videoUrl accept a public https URL, a data: URI, or a Hermoso /generated path; for a LOCAL file (e.g. on the user’s desktop) call upload_file first and pass the url it returns. This PUBLISHES immediately — confirm the copy + media with the user first. Needs a connected Meta account (Settings ▸ Connectors ▸ Meta) with posting permission; Threads needs its own connection.

  Connector