"LinkedIn search for founders and CEOs by position" matching MCP tools:

• linkedin_render_account_health

  paid-ads

  Preferred user-facing LinkedIn account analysis and account health dashboard. Renders the LinkedIn account readiness report with setup recommendations, probe evidence, and technical details. Use this directly when a user asks for LinkedIn account analysis, account health, connector readiness, setup diagnostics, or whether a LinkedIn Ads account is ready for reporting. It can take healthPayload from linkedin_get_account_health or run the same health checks directly. If accountId is omitted, the most recent LinkedIn account from session memory is used when available.

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• enumerate_entities

  Name Whisper — ENS Intelligence Layer

  Enumerate ENS-friendly labels for a finite real-world entity category and report which are available vs registered. USE THIS for ANY finite set of real-world people, companies, teams, or works — including queries that name a ROLE or PROFESSION rather than a league, e.g. "which tech founders have an available .eth?", "available CEOs / politicians / authors / footballers", "famous musicians I can register", "NBA hall of famers", "available Pixar films", "F1 drivers", "Beatles songs that are open". If the user is asking to find/register the names of actual real-world entities (not a vibe or an ENS club), this is the tool — even when the category sounds soft ("tech founders", "crypto founders", "famous CEOs") it is still a finite real-world list, so come straight here; do NOT fall back to search_ens_names for it. The tool generates verified, correctly-spelled ENS labels — do NOT enumerate entity names from your own context and pass them to check_availability, because models routinely misspell long-tail names (scottiepippin instead of scottiepippen) or invent people who don't exist (e.g. "johncarlton" as an NBA HOFer). This tool exists precisely to avoid that. DO NOT use this for: - Vibes / themes ("luxury watch names", "edgy crypto names") — use search_ens_names with concept_search instead. - ENS-native categories ("10k club", "3-letter words") — use search_ens_names with collection_search. - Single-name lookups — use check_availability. Returns a list of entries grouped by status. Each entry has the proper name (e.g. "Scottie Pippen") alongside the ENS label (scottiepippen.eth), so you can show users the human-readable name in your reply.

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• linkedin_render_creative_comparison

  paid-ads

  User-facing LinkedIn creative comparison visual report renderer. Current app template: ui://linkedin/creative-comparison-v4.html. Use this directly when a user asks for a LinkedIn creative comparison visual report, creative performance report, creative winners/losers, or which creative concepts are performing strongest. It renders the visual MCP app with Overall/campaign views, creative action cards, primary results, diagnoses, and bottleneck diagnosis. It can either take comparisonPayload from linkedin_compare_creative_performance or fetch the comparison directly. For account-wide creative analysis, pass accountId and omit campaignId/campaignIds, or pass advertiserName/query so saved advertiser context or live account-name matching can resolve the LinkedIn account. Name-only account-wide requests are supported; do not claim the renderer requires a numeric accountId until this tool returns an account-selection blocker. lookbackDays accepts numbers and string aliases such as "30d", "30 days", and "past 30 days"; do not claim a numeric lookback is required. If accountId and name/query are omitted, the most recent LinkedIn account from session memory is used when available. For campaign-specific creative analysis, pass campaignId or campaignIds; if accountId is also supplied as parent context, set scope to campaign when possible. accountId plus campaignIds is accepted as a campaign-set compatibility shape.

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• get_founders

  Origine Paris

  Returns the two founders of Origine Paris, the house of recycled 18ct gold and IGI-certified lab-grown diamond jewellery. Use it for a quick roster (names, roles, Wikidata QIDs, short bios); for one founder's full biography and career use get_person_profile instead, not this. Read-only and side-effect-free: it returns a structured list of the founders plus a text copy, with the sources, the index timestamp and the canonical URL, taken from the site JSON-LD and Wikidata and served as published; absent values are reported as "unknown", never invented.

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• get_entity_graph

  Origine Paris

  Returns the Origine Paris entity graph: the company and its founders as nodes, with the sourced edges between them (founded, chief executive officer, director, employed by). Use it when you need the relationships between entities; for one entity's own fields use get_brand_identity or get_person_profile instead, not this. Read-only and side-effect-free: it returns structured nodes and edges plus a text copy, every edge carrying its sources, with the index timestamp and the canonical URL, built from Wikidata and corroborated by the site JSON-LD; relationships absent from the sources are not asserted.

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• publish_post

  Avocado AI

  Publish a post immediately to the user's connected social accounts (Instagram, TikTok, LinkedIn, X, Threads). ALWAYS confirm with the user first (target platforms + caption). Instagram and TikTok require at least one image or video in media_urls; LinkedIn, X, and Threads allow text only. Caption limits: X 280 chars, Threads 500 chars. X has a monthly allowance of 50 posts included in the add-on. Pass generated asset URLs (Supabase-hosted) as media_urls. LinkedIn also supports DOCUMENT posts (rendered as a swipeable carousel): pass exactly ONE .pdf/.ppt/.pptx/.doc/.docx URL in media_urls, targeting linkedin only. Document rules: one document per post, never mixed with images or videos, max 100 MB and 300 pages, password-protected PDFs are not supported, and the URL must serve the file bytes directly (Supabase-hosted works; Drive/Dropbox/OneDrive share links do not). Set document_title for document posts, and put any external link in first_comment instead of the caption (LinkedIn suppresses captions with links). If the user isn't subscribed or hasn't linked the platform, the result will instruct you to show a connect card, do not retry in that case.

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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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• search_players

  Nba

  "Find NBA player [name]" / "search NBA roster for [X]" / "is [player] in the NBA" — search NBA players by name on BallDontLie. Returns position, height, weight, college, country, draft info, and current team. NOTE: per-season averages (PPG/RPG/APG) and career stats are NOT in this response — those require BallDontLie's ALL-STAR tier ($9.99/mo at https://www.balldontlie.io/) via the /season_averages endpoint, which is not currently exposed by Pipeworx. Free-tier _apiKey works for this tool.

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• talent_scout_discover_companies_by_campaign

  StackFast FractWin Expert Brain

  Preview the account owner's saved business-lead campaign. Returns public company website leads, employee-count confidence, source receipts, and next actions for manual review. This is first-party job-search research for the account owner, not applicant screening, not hiring decisions, not outreach, and not autonomous apply/send. Read-only by default: it does not persist leads unless persist_results is explicitly true and never scrapes LinkedIn.

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• get_company_details

  Austrian Firmenbuch

  Full served profile for one company by FNR. Read-only. Parameter: - fnr (required): Firmenbuchnummer, e.g. "123456a" (the `fnr` from a search card). Returns one company's identity, location, financials (per-year Bilanz + GuV), all computed ratios, growth, employees, filings, and management. Use when you already know the company (from search_companies); for the complete record (full position taxonomy, unknown-code passthrough, per-year lineage) use get_full_record; for specific metric trends use get_company_history. Field reference: https://www.agentic-firmenbuch.at/felder.html

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• google_rank_tracking

  Searchapi

  Get Google organic search results for SEO rank tracking. Returns up to 100 results per request with position, title, URL, and snippet. Ideal for monitoring keyword rankings and SERP analysis.

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• browse_collections

  Remember Me Collections

  Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Each result includes the collection's raw cover `image` — the URL the publisher set, or null if they set none (the app may still show an auto-generated cover when null). This is the stored value, not the computed display image. Args: search: Search term to filter by name, description, or publisher name. language: Language code prefix (e.g. "en", "de", "ja", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.

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• seo_keyword_research

  gapup-mcp

  SEO keyword research from a seed keyword or topic. Uses Google Suggest (public, keyless) to discover related queries at 2 expansion levels, then clusters them by intent: informational / commercial / transactional / navigational — via heuristic pattern matching. Search volume is bucketed (very_high / high / medium / low / very_low) and clearly labelled as ESTIMATED — no fabricated precise numbers. Returns all keywords, intent clusters, quality scores (0-100), and top 10 opportunities. Supports country (gl) and language (hl) targeting. 100% keyless. Cache TTL 6h. ICP: SEO managers, content strategists, SaaS founders, agency teams.

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• dispatch_qualitative_researcher

  Heista

  Dispatch to the QUALITATIVE RESEARCHER — thematic synthesis from unstructured text (interviews, reviews, forum threads, customer language). Use for: "what are the 2-3 recurring themes in how D2C founders talk about X / what language is being used around Y / what are the patterns in customer reviews of Z". Every theme carries evidence count, triangulation status, ≥1 verbatim quote, outlier-check note. SOLVES the Reddit/X/Substack named-operator voice retrieval gap that legacy search tools could not fill. Returns: Corpus + Sampling + Coding methodology + 4-axis Themes table + Theme synthesis + Outlier voices + Saturation assessment + Sources. NOT for: quantitative effect sizes (use dispatch_quantitative_researcher) / multi-platform discourse mapping (use dispatch_social_listening_researcher).

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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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• get_vessel_info

  Datalastic Vessel Tracking & Maritime Intelligence

  Return static specifications for a single vessel, identified by exactly one of: MMSI (9 digits), IMO (7 digits), or Datalastic UUID. Includes physical dimensions (length, breadth, draught), tonnage and cargo capacity (gross tonnage, deadweight, TEU, liquid gas), speed characteristics, year built, flag country, callsign and home port. This is reference data, NOT live position — use get_vessel for the current position, or find_vessels to search the registry by attributes.

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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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• contacts_add_channel

  dialogbrain

  🔗 Link a new channel identity (email, phone, LinkedIn, etc.) to an existing contact. When to use: - User learns a contact's email or phone and wants to save it - User wants to link a LinkedIn/Instagram profile to an existing contact - Adding a second channel for an existing person Requires contact_id (entity_id) from contacts.find.

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• messages_send

  dialogbrain

  Send a message to a thread, channel, or contact. Supports Telegram, Email, LinkedIn, and other connected channels. For LinkedIn posts (comment_thread kind), this posts a comment on the post. Can automatically resolve recipients and channels when not specified. Can send files/images/documents as attachments — pass `attachments=[file_id, ...]` with integer file IDs obtained from collections.list_files, search.files, or files.search. `text` is optional when attachments are provided.

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• seo_keyword_research

  mcp-knowledge

  SEO keyword research from a seed keyword or topic. Uses Google Suggest (public, keyless) to discover related queries at 2 expansion levels, then clusters them by intent: informational / commercial / transactional / navigational — via heuristic pattern matching. Search volume is bucketed (very_high / high / medium / low / very_low) and clearly labelled as ESTIMATED — no fabricated precise numbers. Returns all keywords, intent clusters, quality scores (0-100), and top 10 opportunities. Supports country (gl) and language (hl) targeting. 100% keyless. Cache TTL 6h. ICP: SEO managers, content strategists, SaaS founders, agency teams.

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