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500,835 tools. Updated 2026-08-31 19:27

"A way to find people on LinkedIn using their names" matching MCP tools:

  • Search ENS names using natural language. Supports all query types: - Filtered search: "4-letter words under 0.1 ETH" - Concept search: "ocean themed names" (semantic similarity across 3.5M indexed ENS names) - Creative search: "names for a coffee brand" (AI-generated suggestions) - Collection search: "crypto terms expiring soon" - Activity: "what sold recently?" - Availability check: "is coffee.eth taken?" - Bulk check: "check apple.eth, banana.eth, cherry.eth" - Collection/club floor: "999 club floor", "cheapest 10k club names" (returns real listings sorted by price) - Sorted pattern list: "3-letter numbers sorted by name", "4-letter words by registration date" (sorts by name, price, length, expiry or registration date) Returns structured results with name, price, owner, tags, and availability info. It searches the NAME database by pattern/length/price/club/vibe — it does NOT know who real-world people, teams, brands, athletes, musicians, or films are. For "find me NBA players / pop stars / Pixar films / presidents" use enumerate_entities instead (it returns correctly-spelled labels). Use this for "floor of <club>" / "cheapest in <collection>" (find_alpha can't — it has no collection param). For lifecycle-window lists — "which names are in premium / Dutch auction", "names in grace period", "expiring soon" — use get_expiring_names instead: its grace/premium statuses are on-chain-validated and premium rows carry live pricing. That hand-off needs a lifecycle WORD in the query. A plain pattern/length/digit list — "3-letter numbers sorted by name", "4-letter words", "5-digit names" — stays HERE even though it asks for a list with filters and a sort order; routing it to get_expiring_names answers a question the user never asked (a grace/premium dump instead of the names).
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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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  • Kick off Day 1 of the 90-day Agentic Launch for a completed Demand Discovery Report. Demand Discovery surfaces named prospects matching the idea's ICP and DRAFTS the first outreach batch. It sends NOTHING automatically - the user reviews and sends from their hosted manage page. Outreach is drafted to come from Amy @ Demand Discovery, with replies routed to the user's own email. Call this after a paid report is "ready" and the user wants to act on it (e.g. "generate prospects", "start agentic launch", "find me people to talk to", "yes, do the outreach"). Pass the reportId, the user's email, and the alTriggerToken from the ready report if you have it. The email MUST be the address the user themselves provided earlier in this conversation (their report-delivery email) - if you don't have it in context, ask the user first; NEVER invent one or use a placeholder like user@example.com (placeholders are rejected and the launch will not start). The response returns a manageUrl where the user reviews/sends the drafted outreach (and can switch the sender to their own Gmail).
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  • 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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  • Turn TikTok's 'Ad authorization' setting ON or OFF for a post the authorized account owns — THIS IS WHERE A SPARK ADS AUTHORIZATION CODE COMES FROM. Until now the only way to get one was a human opening the TikTok app and copying a string; that is still true for somebody ELSE's post, and no longer true for the brand's own. Turning it on mints the code, which you then hand to authorize_tiktok_ads_spark_post so an ad account may promote the post. IT IS CONFIRM-GATED ON THE WAY ON, and not because it spends: TikTok changes the post's privacy to 'Available for Ads', sends it to their ad review team, says the post 'may also appear as an ad on third party platforms', and treats the call as accepting their Advertising Content Terms on the owner's behalf. Turning it OFF needs no confirm — but TikTok REFUSES to turn it off while an active Spark Ad is using the post, so pause those campaigns first. authorizationDays must be one of 7, 30, 60, 180, 365. THE ANSWER IS THE READ-BACK: the reply carries the post's real authorization status and its code, because TikTok's own response body is empty. NEEDS THE TIKTOK ACCOUNT AUTHORIZATION (see tiktok_account_status).
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  • Read the comments people have left on one of your LinkedIn company Page's posts. Community Management surface, and it needs its OWN connection: LinkedIn grants the comment scopes on a different app from the one that posts, so connecting LinkedIn does NOT connect this — the card is “LinkedIn Community Management” in Settings ▸ Connectors. Pass the post's urn, which is what post_to_linkedin_page returns. A post nobody has commented on comes back as an EMPTY LIST with a note, never an error: LinkedIn answers 404 for a post with no social activity, and that means “no comments yet”, not “no such post”. Each comment carries its text, author, time, like and reply counts, and `isOurs` so your Page's own replies are distinguishable from other people's comments; `fromOthers` counts the ones actually awaiting an answer. The connected member must hold an ADMINISTRATOR role on the Page.
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Matching MCP Servers

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    An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.
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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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    MIT

Matching MCP Connectors

  • LinkedIn: The LinkedIn Data API offers access to detailed information on individuals, companies.

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

  • Kick off Day 1 of the 90-day Agentic Launch for a completed Demand Discovery Report. Demand Discovery surfaces named prospects matching the idea's ICP and DRAFTS the first outreach batch. It sends NOTHING automatically - the user reviews and sends from their hosted manage page. Outreach is drafted to come from Amy @ Demand Discovery, with replies routed to the user's own email. Call this after a paid report is "ready" and the user wants to act on it (e.g. "generate prospects", "start agentic launch", "find me people to talk to", "yes, do the outreach"). Pass the reportId, the user's email, and the alTriggerToken from the ready report if you have it. The email MUST be the address the user themselves provided earlier in this conversation (their report-delivery email) - if you don't have it in context, ask the user first; NEVER invent one or use a placeholder like user@example.com (placeholders are rejected and the launch will not start). The response returns a manageUrl where the user reviews/sends the drafted outreach (and can switch the sender to their own Gmail).
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  • Find USGS water monitoring sites in a state. Returns a list of monitoring stations with their site numbers, names, and locations. Use site numbers with get_water_levels to retrieve data. Args: state: Two-letter US state abbreviation (e.g. 'CA', 'TX'). site_type: Type of monitoring site. 'ST' for stream/river, 'GW' for groundwater well, 'SP' for spring. limit: Maximum number of sites to return (default 50).
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  • Composite snapshot of a specific user's activity on a project. Returns an identity block (visitorId, userEmail, userName, firstSeen, lastSeen), total pageviews, total custom events, session count, top pages this user visited, their most-fired event names, and their 20 most recent events with props. Use this for 'how is dancleary54@gmail.com using my app?' style questions — one call, full picture. For ad-hoc drill-down (just a count, just recent events) pass `user` to the individual tools instead. Default window is the last 7 days.
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  • Concise profile of one city: currency, tax shape (bracket count + top rate + payroll/national insurance), headline costs (rent / groceries / transit / childcare), safety-net values (parental leave, vacation, universal healthcare), and data freshness. Lighter than compare_cities; use when the user is asking about one place rather than a comparison. On parental leave, quote safety_net.parental_leave_summary rather than building your own sentence: some countries (Ireland, Australia, the UK, Czechia, part of Sweden) pay a flat weekly cash sum instead of a share of salary, so parental_leave_paid_pct is 0 or partial for them and stating it alone would wrongly call their leave unpaid. safety_net.avg_commute_minutes is a ONE-WAY commute, a single leg rather than a daily round trip: report it as "about N minutes each way", and double it yourself if the user asked what they spend commuting per day. It is door to door, averaged over every commuter regardless of mode, for the metro area, and excludes people who work from home. Read-only, no side effects; returns a text summary plus structured JSON.
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  • Submit manual content to a pipeline for transformation. Use when user says "add this to my changelog", "create a newsletter from this", "transform this content", or provides content to be processed. Content will be transformed using the pipeline's persona and ICPs. Social pipelines publish to the pipeline's declared destination (x/linkedin/instagram/facebook/threads — set via update_pipeline; undeclared defaults to x) after human approval; instagram items REQUIRE media_artifact_ids. [write-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]
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  • Did the collab invites on an Instagram post get accepted? Reports every collaborator on one of the brand’s OWN Instagram posts with the status Instagram actually holds for it — Accepted (the post is live on their profile too, and its reach now includes their followers), Pending (invited, sitting in their notifications, NOT yet on their profile) or Declined. This is the tool for “did @creator accept yet?”, and the only way to find out: Instagram sends no notification either way. The media id is what post_to_meta returned as `postId`, or any id from list_instagram_media. A post with no collaborators simply reports none. Read-only, 0 credits.
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  • Creates a Zeekeo LinkedIn campaign: sends a connection invite using invite_template_id, and optionally — if followup_template_id is given — waits for the invite to be accepted, then sends a follow-up message using that template. Create templates first with zeekeo_create_template. Provide exactly one of filter_url (a LinkedIn search results URL) or profile_urls (specific profiles) as the target. This starts REAL LinkedIn automation once the campaign has profiles in it — confirm with the user before calling. Requires the user to have connected their own Zeekeo Launchpad account. Direct them to rankparse.com/dashboard/integrations to connect it.
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  • THE FAST PATH for "show me the ads <brand> is running" — one named brand’s real live ads from the META (Facebook/Instagram) ad library, deduped, sorted, with the right page resolved. A single call, back in a few seconds. Prefer this over research_ads whenever the brand is named. Meta only, deliberately: it has by far the richest creative and is what people mean by "their ads". For Google or LinkedIn specifically, use search_google_ads or search_linkedin_ads. Spends credits.
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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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  • Show the user's default paper size and orientation preferences (set on their account page). Useful when the user hasn't specified pageSize/orientation explicitly — call this to honor their defaults instead of using A4/Portrait blindly.
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  • Resolve a pending AC escalation. Owner decides: edit (provide new AC text), split (move AC to a child goal), drop (remove the AC outright, optionally with a linkedGoalId audit reference), or reject (agent must find another way). All prior evidence on the AC is deleted for edit/split/drop so the agent must submit fresh proof.
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  • Get a congress member's net worth history from their annual financial disclosures. Disclosed values are ranges, so every year is a band (minimum-maximum), never a point estimate. Only electronically filed reports are read: a missing year means no electronic filing, not zero net worth. Use SearchCongressMembers to find member names.
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  • Show the user's default paper size and orientation preferences (set on their account page). Useful when the user hasn't specified pageSize/orientation explicitly — call this to honor their defaults instead of using A4/Portrait blindly.
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  • Lists all Mail.app account NAMES (fast — cached, no Mail lock). This is the preferred way to get account names: call it first to discover them, then use list_emails(account=name) to fetch messages from a specific account. If you also need each account's email addresses or type (imap/pop/iCloud), use list_accounts instead.
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