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443,093 tools. Updated 2026-08-11 10:54

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

  • 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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  • Enrich existing contacts with their full LinkedIn profile data via the connected LinkedIn account (Unipile) — headline, location, current company & position, full experience, education and skills are scraped from each contact's profile URL and saved onto the contact (and merged into profile_data). Use after search_google_xray to flesh out lightly-saved leads. Each contact is a real LinkedIn profile view, so keep batches small; max 8 per call. Returns per-contact enrichment status.
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  • LinkedIn ad performance — impressions, clicks, cost, website conversions, leads and social actions — pivoted by CAMPAIGN (default), CAMPAIGN_GROUP, CREATIVE, ACCOUNT, CONVERSION, PLACEMENT_NAME, IMPRESSION_DEVICE_TYPE, SERVING_LOCATION… or by AUDIENCE DEMOGRAPHICS: MEMBER_COMPANY_SIZE, MEMBER_INDUSTRY, MEMBER_SENIORITY, MEMBER_JOB_TITLE, MEMBER_JOB_FUNCTION, MEMBER_COUNTRY_V2, MEMBER_REGION_V2, MEMBER_COMPANY. The MEMBER_* pivots are what LinkedIn is uniquely good at — job title, seniority and company size are targeting dimensions no other platform reports — and LinkedIn allows exactly ONE pivot per report, so ask for them one at a time and join the answers yourself. An unknown pivot or granularity is refused BY NAME rather than forwarded. On a demographic pivot LinkedIn returns only the top 100 values, DROPS any value under 3 events (so the rows will not sum to the campaign total) and lags 12–24 hours behind the performance numbers — the note says so, every time. Window via since/until (YYYY-MM-DD). ZERO rows genuinely means no delivery in that window; say exactly that and never present zeros as measured performance. A LinkedIn TEST ad account NEVER returns analytics, and the note says so when that is what you are looking at. Read-only, free.
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  • MIXPANEL RETENTION — how many of the people who did a first thing came back and did another, cohorted by day / week / month. This endpoint is FULLY SUPPORTED, unlike segmentation and funnels, which Mixpanel has put in maintenance mode — so it is the one typed Mixpanel report to reach for first. retentionType "birth" cohorts people by their FIRST occurrence of bornEvent (new-user retention, and Mixpanel's DEFAULT); "compounded" counts anyone active. ⚠️ MIXPANEL REQUIRES bornEvent WHENEVER retentionType IS "birth", AND BIRTH IS THE DEFAULT — so a call with neither is refused HERE, for free, rather than spending one of the sixty hourly queries on their 400; use list_mixpanel_events first to name a real event. TWO FILTERS, NOT ONE: bornWhere filters who ENTERS the cohort, where filters the RETURNING event. And interval is the WIDTH of each bucket while intervalCount is HOW MANY of them — different knobs. Dates are YYYY-MM-DD and BOTH ENDS ARE INCLUSIVE, resolved in the PROJECT's timezone (UTC unless its owner changed it) rather than in yours. 60 queries/hour across the whole Query API (5 concurrent) — the tightest budget of any connector here, so widen a range rather than looping over days. Read-only, 0 credits.
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  • Search state legislators and officials by name, jurisdiction, chamber, or district, or fetch specific people by OCD person ID. Party is reported on every result but cannot be filtered on — narrow by party after the call. Either jurisdiction or id is required — a search spanning all 56 jurisdictions exceeds the upstream timeout, including a name-only one, so scope every call to a single state or to specific person IDs. Use openstates_list_jurisdictions to pick a jurisdiction, or openstates_get_legislators_by_location when you have coordinates but no state. id takes the person IDs that openstates_get_bill sponsorships and openstates_get_committee memberships hand back, and resolves any number of them in one call. Supports name substring matching (case-insensitive). org_classification targets a role type: "upper" for Senate, "lower" for House/Assembly, "executive" for governors and executive officials, and "legislature" for every legislator — both chambers merged into one paginated set (all upper members, then all lower), which excludes executive-branch officials. Omitting org_classification is not the same as "legislature": it returns every officeholder, executive officials included. include=offices adds phone, fax, and address. include=links adds website and social links.
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Matching MCP Servers

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    MCP server for the Mamba Labs People Finder & Email Verifier actor on Apify. Give it a company domain, name or LinkedIn URL and it returns the people at that company who match your role, seniority and department filters, each as a structured contact record with an optional verified business email.
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    Multilingual name romanization lookup across Chinese, Japanese, Korean, Arabic, Vietnamese, and more. Resolves whether two name spellings refer to the same person — Chan/Chen/陳/陈, Hsu/Xu, Chou/Zhou — across Pinyin, Wade-Giles, Cantonese, Hokkien, and other romanization systems.
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Matching MCP Connectors

  • LinkedIn data for AI agents: search, profiles, companies, posts. Free key, self-minted, no signup.

  • linkedin-humblebrag MCP — wraps StupidAPIs (requires X-API-Key)

  • Search Australian (currently NSW) builders, contractors and building companies by name; optionally filter by postcode. Returns matching entities with their licence status and a slug to pass to get_builder_risk / get_builder_timeline. Example: query='Acme Building' → '- Acme Building Pty Ltd (Current), 2099 → slug: acme-building-pty-ltd-1a2b'. Names are matched loosely, so try the trading name AND the legal (Pty Ltd) name if the first search misses. Query must be at least 2 characters.
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  • List the LinkedIn COMPANY PAGES the connected account administers — id, name and the role held on each. ALWAYS call this before post_to_linkedin_page when there is more than one Page: publishing to the wrong company Page is a public mistake and Hermoso never chooses for the user. If it comes back empty, the account holds no Page admin role, or LinkedIn has not granted this app the organization scopes — say that plainly rather than guessing an id. Read-only, free.
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  • Lookup, search, or browse originators. Handles people, proverbs, anonymous sources, and institutions. Use name= for exact match, search= for fuzzy, neither for browsing. When to use: User asks about a person/author, wants to find who said something, or needs to browse by category (poets, philosophers, etc). Behaviors: - `name` provided → resolve and return single originator details - `search` provided → fuzzy search, return ranked list (optionally filtered by category tags) - Neither → browse by filters (popular, language, min_quotes, category tags, etc.) Category tags filter by originator type (e.g., ["Poets", "Politicians", "Catholic Bishops"]) - works with all modes. Gender filter accepts natural language (e.g., "female", "women", "queer", "trans") - resolved to Wikidata Q-IDs internally. Response format: - Concise (default): slug, full_name, sort_name, quote_count, descriptions_i18n, web_url - Detailed: + biography (500 char excerpt), confidence_tier, similarity_score Response includes ai_hints with suggested next actions and quality signals for agent workflows. Date filters (`born_on`, `died_on`, `born_year_gte`, `born_year_lte`, `died_year_gte`, `died_year_lte`) combine with every other filter via AND. Negative year bounds represent BCE; year 0 is rejected. Examples: - `originators(name="Einstein")` - exact lookup - `originators(search="Shake")` - fuzzy search for "Shakespeare" - `originators(tags=["Poets"], gender="female")` - browse female poets - `originators(sort="popular", limit=10)` - top 10 by quote count - `originators(born_on="04-20")` - originators born April 20 (any year) - `originators(born_year_gte=-500, born_year_lte=-300)` - originators born between 500 BCE and 300 BCE inclusive
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  • HOW MANY LINKEDIN MEMBERS a targeting spec reaches, before any budget is committed — the cheapest sanity check there is on a B2B audience, and it needs no ad account. Pass locations plus optional include:{titles, industries, seniorities, staffCountRanges, jobFunctions, skills, …}; search_linkedin_ads_targeting resolves any of those names to the URNs LinkedIn demands, free. THE CRITICAL THING TO SAY WHEN REPORTING: a returned total of 0 means the audience is UNDER 300 PEOPLE, not that it is empty — LinkedIn suppresses any count below 300 to protect member privacy, and 300 is also the minimum audience a campaign may run against, so a 0 means this targeting is too narrow to advertise to. The figure is a rounded approximation, so quote it as an estimate and never as a headcount. Read-only, 0 credits.
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  • Structured LinkedIn Ad Library search by company name, keyword, or companyId — use for a targeted B2B pull; use research_ads for open-ended research. Returns compact JSON {advertiser, headline, description, cta, link, media, dates, impressions} per ad — LinkedIn is the one library exposing real impression counts. Spends ScrapeCreators credits (~1).
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  • Full metadata for one Flevy item, by content_id from search_content (e.g. "doc-1234" or "case-567"). Documents return the author with their credentials (headline, bio, LinkedIn, profile URL; pass the author name to search_content's author filter to list more of their documents), full description, editor summary, AI summary, and editorial review when available, page/slide count, price, FlevyPro inclusion, management topics, ranking badge, and the number of slide deep dives available. Case studies return the client situation, TL;DR, and summary. Call this before recommending an item so you can describe it accurately and cite the author's credentials, and share the returned flevy.com URL.
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  • 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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  • Gets a contact from the Mac's Contacts app (Contacts.app) by name or ID. Pass `name` to look up directly by name (no need to search_contacts first — if several people match it returns a compact list to choose from), or `contact_id` for an exact lookup. For Microsoft 365 use m365_get_contact instead.
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  • Search POWO (Plants of the World Online, by Kew) — the authoritative global plant taxonomy database — for accepted plant names and synonyms by scientific or common name. Returns matching taxa with their family, rank, whether the name is accepted, and a POWO fqId you can pass to get_taxon. Keyless. Complements GBIF/iNaturalist with curated botanical taxonomy.
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  • 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.
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  • Search SORACOM API documentation, CLI references, and SAM permissions. Use for exact API endpoints, soracom-cli commands, or SAM permission strings. Use search_soracom_docs for service guides, console how-tos, pricing, or IoT recipes. Use get_document on `#/schema/<Name>` links in results to read full API schema fields.
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  • Get the profile of one person in crypto by id: name, description or bio, teams_count, positions held, and linked projects plus social and code accounts. Use for 'who is Vitalik Buterin', 'background on Charlie Lee', 'projects tied to this founder'. Find the personId first with search or resolveId using type 'people'; this tool needs the exact id, not a name. Read-only. Params: personId (required) is a canonical person id such as 'vitalik-buterin' or 'satoshi-nakamoto'; an unknown id returns not found. No API key required.
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  • 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.
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  • 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.
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