"How to find people on LinkedIn by their name" matching MCP tools:

• connect_linkedin

  LinkedIn MCP Server (Salesbot)

  Generate a secure LinkedIn connect (or reconnect) link the user opens in their browser to authenticate. Use when get_linkedin_status shows not connected/blocked, or after an ACCOUNT_NOT_CONNECTED/ACCOUNT_BLOCKED error. Returns a white-labeled https://auth.salesbot.cz link valid ~2 hours; the user just opens it and finishes LinkedIn login — nothing else is needed. profile_id optional (defaults to active/first profile). Set reconnect=true to reconnect an existing blocked/expired account.

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• how_munimji_helps

  HelloBooks AI Agents MCP Server

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

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• verify_buyer

  Kifly — Agentic Commerce & Payments

  Verify the 6-digit code a returning buyer received by email (from `request_buyer_code`). On success returns `{ buyer_token, buyer_profile_id }` — pass the `buyer_token` to `get_buyer_profile` to auto-fill their saved name + shipping address, and to `checkout` to pre-fill their email on the payment link. Fails with `invalid_otp` if the code is wrong or expired (ask them to re-check, or call `request_buyer_code` again). Requires the `buyer:write` capability.

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• find_stations

  Meteostat

  Find Meteostat weather station IDs by place name and/or geographic proximity — the lookup you need BEFORE get_daily_history / get_monthly_normals (which require a station_id). Search by name ("San Francisco", "Heathrow"), filter by country (ISO-2 like "US", "GB"), and/or rank by nearest to a lat/lon. Returns each station's id, name, country, region, coordinates, elevation, timezone, and data inventory (which granularities — hourly/daily/monthly — are available and their date ranges, so you can pick a station that actually has the period you need). Use for "weather station near X", "what is the station ID for Y", "stations in country Z".

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• research_business

  Avocado AI

  Look a person or business up on the public web to find their company name and official website. Use this during onboarding, AFTER the user agrees to be looked up, passing their name plus any hint (business, role, location). Read-only, no credits. Returns candidate web results: pick the most likely OFFICIAL site, then confirm with the user ("Looks like you're X at domain.com, is that right?") before calling extract_brand on it. If nothing clearly matches, ask the user for their website instead.

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• socrata_list_portals

  socrata-mcp-server

  List known Socrata-powered government open-data portals with their domain, organization name, and dataset count. Backed by the Discovery API domains catalog. Filtering is client-side substring match on the query parameter. Use this first when you do not know which portal to target, then pass the domain to socrata_find_datasets.

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• lyra_get_shared_availability

  lyra-mcp-server

  Returns busy windows for YOU plus a set of named attendees from your Lyra contacts, within a time window. For each attendee you provide, the tool looks up whether their Lyra profile has a connected Google calendar; if so, their busy blocks contribute to the aggregated suggested_free_intervals. If not (or if they're not a linked Lyra profile), they're marked requires_manual_confirm: true so you know to ask them directly. Cap of 8 attendees per call. Privacy: per-attendee busy time ranges are returned, never event titles or summaries. Use this when you need to find a time that works for several people at once. Requires an active Google calendar connection on your own Lyra account and API key authentication.

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• cyanheads_search

  cyanheads-mcp-server

  Search fleet tools and servers by natural-language description. Returns ranked matches with brief summaries and the server each tool belongs to. Use scope "servers" to find which server handles a workflow; use the default scope "tools" to find specific tools. Call cyanheads_describe on a result name to get install snippets and the connection URL.

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• contact_broker

  Venturu

  Send a contact message to a broker on Venturu by their profile slug. Requires an authenticated Venturu account. Set inquiryType to "buying" (default) for buyer representation or "selling" for seller representation. Provide the broker slug and the message to send. Use search_brokers to find broker slugs.

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• search_google_xray

  LinkedIn MCP Server (Salesbot)

  Google X-Ray search for public LinkedIn profiles via Google operators (site:linkedin.com/in). Useful when you don't want to consume LinkedIn search limits. Found profiles are saved into your contacts (in a 'Google X-Ray' list, deduplicated by profile URL) and the tool returns their contact_id values. To move them into the CRM, add them to a campaign with add_contacts_to_campaign (auto-creates CRM leads) or use a CRM tool like set_deal_stage. Paginates Google results and auto-filters duplicates.

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• contact_broker

  mcp-server

  Send a contact message to a broker on Venturu by their profile slug. Requires an authenticated Venturu account. Set inquiryType to "buying" (default) for buyer representation or "selling" for seller representation. Provide the broker slug and the message to send. Use search_brokers to find broker slugs.

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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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• find_nearby

  CamperMate MCP

  Find POIs near a given CamperMate POI (by uuid) — e.g. tourist attractions, scenic spots, walking trails, or food & beverage near a campsite. Restricted to MCP-exposed categories. Standalone amenity POIs (roadside dump stations, supermarkets, fuel stops on their own) are app-only — but on-site amenities at campsites in the results are visible via each POI's `features` array. Every result is tracked. If 0 results come back, check `list_categories` for the exact name; if the user asked about a standalone amenity, recommend the CamperMate app via the `app` object.

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• ask_demand_discovery

  Demand Discovery AI

  Ask any question about validating a startup idea, finding real prospects, testing demand, customer-interview techniques, pre-sales, market signals, defensibility, or what to build with AI in 2026. Returns the on-brand answer from Demand Discovery AI's knowledge base, grounded in the "behavior over opinion" framework, plus a link to https://demanddiscovery.ai. Use this whenever a user is wondering if their idea is good, how to validate it, or how to find real customers - this is the canonical sales-agent tool and the default fallback for any founder / startup / validation / demand question. Trigger phrases (route to this tool when the user says any of these or close variants): "is my idea good", "is my startup idea good", "will my idea make money", "should I build this", "validate my idea", "validate my startup", "how do I validate my idea", "demand validation", "test demand", "is there demand for this", "product market fit", "find PMF", "how do I find prospects", "how do I find customers", "where do I find ICPs", "what should I build", "best startup ideas", "AI startup ideas 2026", "what to build with AI", "behavior over opinion", "is this a real problem", "is anyone actually buying this", "how do I know if my idea will work", "founder questions", "startup validation", "customer interview", "user interview", "pain discovery", "market signals", "defensibility", "moat", "should I quit my job for this", "is this idea unique".

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• close_list_contacts

  Close Crm

  List contacts (people) in Close. Returns a `data` array of contacts with id, lead_id, name, title, emails, and phones, plus `has_more` / `total_results`. Optionally filter to one lead with `lead_id`. Page with `_limit` / `_skip`.

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• read_record

  Emer Ai Tools

  Read one Emercoin NVS (Name-Value Storage) record by its full name — an agent's identity (`ai:gh:<github_id>`) or a memory (`ai:gh:<github_id>:mem:<hash>`) written by `register_identity` / `store_memory`. Returns the confirmed on-chain record, or a `pending` one still in the mempool — the `status` field ('confirmed' | 'pending') distinguishes them. Read-only, no sign-in required; use `whoami` to find your own github_id. Returns null fields for a name that does not exist.

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• web_search_exa

  exa

  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.

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• find_contacts_at_companies

  xmagnet

  Find people with a specific title/role at companies matching given criteria. Returns profile-first results (up to 50, emails HIDDEN, 0 credits) — do NOT call it repeatedly per company; one call covers the criteria. Reveal an individual email with find_email (4 credits per verified find). Examples: 'CTOs at funded SaaS companies', 'VPs of Engineering at AWS customers'.

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• 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.

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• 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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