"Finding LinkedIn users by educational background" matching MCP tools:

• feed_sources

  data-breach-detector

  List the public disclosure feeds this server aggregates, how many disclosures are cached per source, each source's newest item and an honest staleness flag, plus cache ages. Takes no arguments. Also states the scope plainly: public feeds only — no .onion access, no arbitrary fetching or crawling, no credential or PII output. Check this first if another tool's answer looks thin: a stale live feed is a finding, not background noise.

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• enrich_contacts

  LinkedIn MCP Server (Salesbot)

  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_page_analytics

  Hermoso

  ORGANIC performance for one of the brand’s LinkedIn COMPANY PAGES: total followers, followers gained (organic vs paid) across the window, Page views (all / unique / desktop / mobile), and the impressions, unique impressions, clicks, likes, comments, shares and engagement rate of the Page’s posts. This is what answers “is our LinkedIn actually working” and “did that post land”. It is NOT linkedin_ads_report — that covers PAID campaigns; LinkedIn excludes sponsored activity from these figures entirely. Pass postUrns (the urn:li:share:… / urn:li:ugcPost:… that post_to_linkedin_page returned) for PER-POST numbers; LinkedIn forbids a date range together with named posts, so that switches to lifetime-per-post. Only Pages the user ticked in Manage accounts are readable — a Page the account merely administers is refused, by design. LinkedIn keeps 12 months, follower figures run about 2 days behind, and it OMITS posts with no recorded activity rather than returning zeros: report an absent post or an unavailable section as MISSING data, never as zero. Read-only, 0 credits. Needs LinkedIn connected with the organization scopes.

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• post_to_linkedin_page

  Hermoso

  Publish a post to one of the user’s LinkedIn COMPANY PAGES — text, plus optionally an image, a video, a 2–20 image CAROUSEL (LinkedIn calls it a MultiImage post; pass the slides in order as imageUrls[]), or a LINK POST with a real preview card (linkUrl). USE linkUrl WHENEVER THE POINT OF THE POST IS A LINK: LinkedIn disables URL scraping for API partners, so a url sitting in the text renders as plain text with no card, and the card’s title, description and image only exist if you pass linkTitle / linkDescription / linkThumbnailUrl — read them off the page and supply them. The media need not be a Hermoso render — it must be Hermoso-HOSTED because we upload the bytes to LinkedIn ourselves, and upload_file turns ANY file the user already has into such a URL. ORGANIC CAROUSELS ARE COMPANY-PAGE ONLY — a personal profile cannot publish one and is refused by name, so send a deck here rather than to post_to_linkedin. This is a DIFFERENT thing from post_to_linkedin, which publishes to the person’s own profile: pick the one the user actually asked for and never substitute. organizationId comes from list_linkedin_pages; omit it only when the account administers exactly one Page. This PUBLISHES immediately and PUBLICLY — ALWAYS show the user the exact text and get an explicit yes BEFORE calling. A VIDEO POST CAN CARRY CAPTIONS AND ITS OWN COVER, and both are attached only during the upload: pass captionsSrt (SubRip content — LinkedIn is watched with the sound off) and videoThumbnailUrl (otherwise LinkedIn picks a frame for you). LinkedIn does NOT allow the image, video, captions or thumbnail of a published post to be swapped afterwards, so get all of that right first (the copy can still be edited with manage_linkedin_post).

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• about_apex

  Apex by LeadShark — discovery

  Read-only: returns what Apex by LeadShark is, tier pricing, and the URL of the real authenticated MCP server. Call this first — this endpoint is a discovery stub with no LinkedIn powers.

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• c2b_append

  Versium REACH

  Get business demographic details for consumers. Identify the consumer with a LinkedIn URL, or with first name, last name, and one of: email, phone, or city and state. Retrieve job title, seniority, department, business email, LinkedIn profile, and complete business information. Use this tool when users ask for 'C2B', 'c2b', or 'Consumer to Business Person' data **Tips for Best Results:** - Provide full name and consumer email for best match quality - LinkedIn URLs must be in format: linkedin.com/in/username - Use `rcfg_require_email` to return only records with business email - Use `rcfg_require_value` to filter by job title, department, or other attributes

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• zeekeo_create_campaign

  rankparse-mcp

  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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• search_linkedin_ads

  Hermoso

  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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• 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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• get_global_stats

  Limzo Telegram Group Stats

  Call this for network-wide numbers across all public Telegram groups tracked by Limzo (group count, messages, active users, replies, reactions, karma — 7-day and all-time) plus durable lifetime totals (messages analyzed, members tracked, spam messages removed) and the current top groups by Limzo Score. For finding a specific group, prefer list_groups.

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• searchTiktokUsers

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)

  Search Tiktok users by name or username via external API. Use for: Name-based search, finding multiple candidates, fuzzy matching, discovering users. NOT for: Exact username lookup (use getTiktokUser when username is certain). Optional fields parameter for performance (default: ["id", "username", "nickname"]). Returns: array of matching users (default 10, max 10). This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.

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• get_buying_guide

  cyclesite-mcp-server

  Search Cyclesite's expert buying guides (24+ articles by cycling-journalism authors). Returns up to 3 matching guides with title, excerpt, difficulty, reading time, and URL. Use for educational queries that don't need live inventory. Example: 'how do I choose a bike size?', 'tips for buying a used e-bike'.

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• company_search

  Drillr — The financial MCP for AI agents

  Use for qualitative company discovery (industry, business model, supply chain, competitors, management background). For numerical screening (revenue, margins, ratios, growth rates) use run_sql on company_snapshot instead. Drillr's company knowledge base — searchable across industry classification, product offerings, business model, segment structure, competitive landscape, supply chain, management background, and customer profile. Coverage: US, Japan, Hong Kong, China A-shares, and Korea. `market` accepts one lowercase value or a list from `us | jp | hk | cn | kr`; omit it or pass `[]` for all five. List order does not set priority. Pass a natural-language description (for example, "Hong Kong and China EV battery suppliers"). Returns a structured list of matching companies with context snippets. ONLY for finding a LIST of companies by description.

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• linkedin_ad_library_ad_details

  captapi

  One LinkedIn Ad Library ad by ID. LinkedIn withholds Ran-from / impressions / targeting on most creatives — those keys are omitted, not 404. Costs 2 credits. Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

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• get_global_stats

  Limzo – Telegram Group Stats

  Call this for network-wide numbers across all public Telegram groups tracked by Limzo (group count, messages, active users, replies, reactions, karma — 7-day and all-time) plus durable lifetime totals (messages analyzed, members tracked, spam messages removed) and the current top groups by Limzo Score. For finding a specific group, prefer list_groups.

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• web_login

  local-mcp

  Opens a real browser window on the Mac for the user to sign into a website themselves (you never handle their password). After they log in, the session is saved on this Mac and reused by web_navigate/web_read/web_screenshot — they won't need to log in again. Use a stable `session` name per site (e.g. 'linkedin'). NOTE: automating sites like Instagram/LinkedIn may violate their terms — the user accepts that risk.

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• publish_linkedin_post

  LinkedIn MCP Server (Salesbot)

  Create a LinkedIn post on behalf of a connected profile. By default the post is saved as a 'draft' in the LinkedIn Posts page so the user can review/edit it before publishing. Set auto_publish=true to publish immediately — that path still respects the user's MCP human-in-the-loop setting (when approval is required, the post stays as a draft and the user must publish it from the LinkedIn Posts page in the app). A random 30–180 s anti-detection delay is applied before the publish call. Attachments are not supported via MCP — add images in the in-app post editor.

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• quizbase_regions

  QuizBase

  Discover region codes used by the catalog. **Cultural affinity** — a question is tagged with a region if residents of that country, or members of that cultural/religious group, are statistically more likely to know the answer (NOT geography of the subject). USE WHEN: planning a quiz targeting users from a specific country or cultural background, exploring "what regions are represented". OUTPUT: array of {code, kind, label, count} sorted by count DESC. INPUTS: lang (en|pl), q (substring on code/label), kind (country|cultural), cursor, limit (max 500). Pair with quizbase_random or quizbase_list using `regions:[...]` to fetch matching questions.

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• explain_queueing_theory

  QueueSim

  Return a ~500-word educational explainer of M/M/c queueing theory: Little's Law, utilization, why averages mislead, how simulation relates to Erlang-C. No inputs. Use this when the user asks a conceptual 'why' or 'how does this work' question rather than asking for a number.

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• get_mood_for_ticker

  welcome

  Pull the current Market Mood for a single ticker — its history, how often the mood has shifted, and any patterns we've spotted. Educational only. Mood snapshots refresh on a daily cycle and can lag the latest close by one session; use get_close_history for the freshest price.

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