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510,021 tools. Updated 2026-09-03 16:45

"Searching for people on Twitter by name" matching MCP tools:

  • Enumerate the full category tree for browsing GallanDigital's marketplace. Read-only, no authentication required (public endpoint, IP rate-limited), no parameters. Returns an array of categories, each with id, name, slug, description, parent_id, level, and display_order. Use first when browsing by category rather than searching by keyword, or to get valid category_slug values for search.
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  • Search people on LinkedIn by title, current company and location. Pass `company` (a company NAME like 'Škoda Auto') to filter to people who CURRENTLY work there — without it the search returns random people matching only the title. Returns JSON `{ count, results, company_filter }` where each item in `results` has: `linkedin_url`, `name`, `headline`, `company`, `location`, `public_id`, `network_distance` (read `linkedin_url` for the profile URL — NOT `profiles`/`url`). `company_filter.mode` is `current_company` when the name resolved to LinkedIn's native filter, or `keyword_fallback` when it could not. It does not save them as Salesbot contacts. For each profile you want to keep or add to a campaign, call upsert_linkedin_contact with its `linkedin_url` to obtain a contact_id. Pass either `location` (human name like 'Praha', 'Berlin', 'Czechia') or `locationId` (raw LinkedIn geo ID).
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  • Resolve a city or airport name or code before searching flights. Returns typed values such as city:SHA to search every catalog airport in Shanghai or airport:SHA for Hongqiao only. Pass the selected value unchanged to search_flights. Ask the traveler when multiple results are plausible.
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  • Generate synthetic / fake user profiles via the MwVideos random_users API (POST /mwvideos/api/random_users). Returns name, gender, location, email, login, dob, phone, picture, and nat. Use when the user asks for random users, fake people, sample contacts, demo personas, UI fixtures, or test profiles. Pass `results` for how many profiles (default 1, minimum 1) and `isPro` as 0 or 1 when relevant (default 0). Authenticated user_id is injected server-side — do not invent profiles; always call this tool. These are FAKE people for demos and testing, not real PII.
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  • USE THIS TOOL WHEN you have a member's name and need their integer member_id. Returns all members matching the name query, each with the integer `id`, party, constituency, house, and current-sitting status. Disambiguates common-name matches (e.g. "Lord Smith" returns multiple peers). CALL THIS BEFORE any tool that filters by member_id — including parliament_get_debate_contributions, parliament_member_debates, and parliament_member_interests. Name → ID first; ID-based filtering second. Skipping this step and text-searching by name returns unrelated results (see parliament_search_hansard's anti-bypass note for the Pannick case).
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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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Matching MCP Servers

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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.
    MIT
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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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Matching MCP Connectors

  • X (formerly Twitter): X (formerly Twitter) public and private data API for search, posts (Tweets).

  • Twitter: Access real-time Twitter/X data as soon as it's posted! With the Twitter/X AIO API, you.

  • 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.
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  • 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.
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  • Real-time X/Twitter sentiment narrative. Pass ticker=NVDA for a focused fintwit read on a name, or query=... for a free-form social-media question. Returns the narrative answer with quantified bullish/bearish ratio and any source URLs social-search grounded against. Use when you want the *vibe* on a name right now (retail sentiment, breaking rumours, unusual social activity), not the news article list.
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  • Translate an i18n JSON locale file, keeping the key structure identical and placeholders ({name}, {{count}}, %s, HTML tags) intact. Pass existing_json to translate only the keys that are missing from it — the incremental sync people usually hand-roll a script for.
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  • Retrieve LeanScale customer case studies — the problem the company had and how it was solved. Public keys get an anonymized version: customer names, people, third parties and delivery provenance are stripped, and outcomes/metrics/quotes are withheld. Internal keys get the full named studies. Search by sector, the kind of engagement, or the systems involved — searching by customer name will not work on a public key, because the names are not in the public corpus.
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  • Fetch any document in the knowledge base by path: People — people/moses Places — places/bethel-1 Themes — themes/faith Lexemes — lexemes/h430 Commandments — commandments/001-know-there-is-a-g-d Events — sa/events/exodus-from-egypt Epochs — epochs/david-reigns-in-jerusalem Books — bible/john Chapters — bible/john/3 Sources — sources/bibledata Datasets — references/cross-references Schema — schema/relations Returns the document's structured fields, its typed relations in BOTH directions, what links to it, and optionally its full text. The inbound direction matters: the corpus stores each relation once, on one side only, so a person's parents live on their parents' documents and only relations.inbound recovers them. Set body=true for the prose — a lexeme's Strong's definition, a commandment's Hebrew, a theme's outline of verses all live in the body and nowhere else. Where several people or places share a name the path is disambiguated with a number (people/zechariah-14, places/bethel-1) — search_concepts first if unsure. A collection path like "themes" or "sources" returns what that collection holds.
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  • 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.
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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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  • Search Twitter/X. Returns a compact human-readable list by default; pass format='json' for full structured data. Use glim_twitter_get(ref) for full thread context. Use docs://search-operators for reference.
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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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  • Daily r/wallstreetbets mention count and sentiment for one ticker from the alternative-data feed (default 60 days). Call this when the user asks whether retail is piling into a name or how retail buzz is trending; pair with tengu_v3_intel_twitter for the Twitter-side social read.
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  • Search PRIVATE companies / investors (VC/PE) / funds / people / limited partners by name (prefix, case-insensitive), ticker, or CIK — relevance-ranked so the prominent entity is #1 (brand/AKA/former-name aware: 'Nubank'→Nu Holdings, 'Square'→Block). Use this FIRST for any private-company question (e.g. 'tell me about Stripe', 'who is Sequoia') to resolve the entity id, then call the company/dossier/realtime tools. type=all searches every entity kind. detail=full returns every column per hit (for rich tables).
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  • Create a list — a described set of people (e.g. 'Seed investors', 'Design candidates'). The description is REQUIRED and is the goal noticed matches people against, so write it specifically ('pre-seed investors who back dev tools in Europe'): noticed then proposes people from the network to add, and the user confirms or rejects each one. The title is auto-generated from the description unless you pass a name. Returns the new list_id.
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  • Skill catalog search by name (partial match) — skills only, despite the endpoint name. Page-paginated. Use to find a skill's skl_ id or normalized_name for the /search/people skills filter. (Costs 10 Zooq credits.)
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