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460,228 tools. Updated 2026-08-17 23:42

"LinkedIn company profile pages" matching MCP tools:

  • Get the calling company's regulatory posture — saved entity types, actor roles per regulation, and active conditions. The profile defines WHICH regulations and roles apply to this company. Use the actor_roles to filter obligations with get_obligations(actor_role=...). The profile is the baseline — you can extend beyond it using get_actor_roles() to discover additional roles if your analysis suggests they may be relevant. If the profile is empty (profile_complete=false), the company hasn't completed onboarding yet. Guide them to set up their profile at app.velvoite.eu/account. No parameters needed — the profile is determined by the API key. Returns: company_name: Company name jurisdictions: Active jurisdictions (always includes 'eu') profile: entity_types: List of entity type codes (e.g. ['credit_institution']) actor_roles: Dict of regulation_code -> list of role codes (e.g. {'dora': ['financial_entity'], 'ai_act': ['ai_deployer']}) conditions: Dict of regulation_code -> list of active conditions (e.g. {'dora': ['uses_ict_third_party'], 'ai_act': ['always']}) profile_complete: Whether the company has selected at least one actor role
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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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  • Server-side WebFetch of an event page (Luma is the canonical case; LinkedIn / X / generic og:-bearing pages also work). Returns parsed { title, date, image, description, organization } so the agent doesn't have to scrape and parse OG / JSON-LD itself. Use the result to compose a HighlightStory. Args: { url }. Returns: a metadata map; empty fields where extraction missed.
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  • Which growth data sources and distribution channels are connected: GA4 and Search Console (the measurement behind SEO and outcomes), Google Business Profile, and the LinkedIn / Reddit posting channels. Each row carries an honest state: connected, not_connected, or not_available with the reason it is shut on this account. Read before start_connection so you never offer a connection that cannot be made. Read-only, free.
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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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  • Fetch a country profile from ReliefWeb by ISO3 code, including overview, humanitarian situation summary, key content links, active appeals and response plans, and useful external links. Country profiles are curated by OCHA editors and provide the authoritative situation summary for humanitarian responders. Each curated list also has an archive — thousands of entries deep for a long-running crisis — which the profile leaves out. Two alternative selectors, at most one per call: sections names parts of the profile to return, archive pages one list's archived entries in place of the profile. A profile over the response budget comes back as a section outline naming every section and its byte size. Nothing is truncated on any path.
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Matching MCP Servers

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    Enables Claude Desktop to manage your LinkedIn profile and company pages, including posting, reading posts, and fetching profile information.
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    MIT
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    MCP server for LinkedIn Company Page administration. Enables reading analytics, managing posts, editing page details, growing followers, and bridging personal profile for employee advocacy workflows.
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    MIT

Matching MCP Connectors

  • P116 — paste-what-you-see metric fallback for channels without public-API measurement (X, LinkedIn, Email, landing pages, Product Hunt). USE WHEN a published action's channel doesn't have a public-JSON metrics endpoint (anything except hacker_news / reddit) AND the founder is ready to paste the visible numbers. Reads metadata.proof.artifactUrl to confirm the post is recorded, writes the provided metrics into metadata.proof.metrics + measuredAt, auto-classifies the outcome (channel-specific thresholds: X needs likes/replies, LinkedIn needs reactions/comments, Email needs opens/clicks/replies, etc.), and creates next-move actions just like the auto-measurement path. Returns the metric schema for the channel so callers can render the right form fields.
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  • Searches FoundRole's published content by semantic similarity and returns the most relevant sources for a job-search question: career-guidance blog articles plus FoundRole site pages that describe the product's features (job tracker, Pro plan and pricing, H1B salary data, AI job search) and industry/sector career landings. Each article carries a title, url, summary, a content excerpt, publication date, and tags; each page carries a title, url, description, and its FAQ entries — enough material to answer the question and link the source. Three optional facets add further result groups: company returns FoundRole's employer profile pages matching that company name; job_title and location return the live job-listing landing pages for that role and place, with open-job counts. The facets describe what the user is asking about — a company mentioned only in passing does not need the company facet. Returns empty groups when nothing is relevant rather than padding with off-topic content. Results are the closest matches to the given question, not an index of the site's full coverage; questions about overall topic coverage are answered by knowledge_topics, which lists the blog's categories and tags with article counts. It does not search job listings; jobs_search covers live roles. Each response includes a system_instruction describing how to present the sources.
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  • Look up a maritime company profile — owners, operators, managers and charterers — returning its full and short name, company type, registration country, operating status, contact details, and parent company. Search by the company's own IMO number (company_imo) or by name. This is a company directory, so company_imo refers to the company (not a vessel); to find the companies behind a specific ship use intel_ownership. Part of the Maritime Reports add-on.
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  • The paid intelligence profile of a services firm — SAP practice size and partner level, delivery flags per product, typical day rate and seniority, notable clients, analytics practice summary, and a LinkedIn company URL (present on ~39% of the corpus — glassdoor_rating, glassdoor_reviews_count and linkedin_followers are null on the entire corpus as of 2026-08-10, absence here is a data gap, not a signal). Requires a subscriber API key, Legend tier or above. Person-shaped fields (contacts, founders, leadership, recruiters, postal addresses) are NEVER served by this endpoint at any tier — they remain behind the platform's signed-URL path. Search by name; the public directory (search_firms) is a different, wider population.
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  • Enrich one person from their LinkedIn profile URL via Revternal — full normalized profile: name, headline, current company and title, past work experience, education, skills, certifications, and profile picture. Default (fetch_live: false) reads Revternal's existing record for that URL and returns found:false if there is none; set fetch_live: true to have Revternal fetch a fresh profile (slower, higher vendor cost). Use to enrich a lead, candidate, or contact you already have a LinkedIn URL for. Example: revternal_enrich_person({ linkedin_url: "https://www.linkedin.com/in/vishalv06" }).
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  • Generic ScrapeCreators escape hatch for any ALLOWLISTED long-tail endpoint the dedicated search_* tools don't cover — e.g. {path:'/v1/instagram/profile', params:{handle:'nike'}}. Allowlisted platform families: TikTok (+ TikTok Shop), Instagram, YouTube, Facebook (organic profiles/posts/events/marketplace), LinkedIn (organic posts/companies), Twitter/X, Reddit, Threads, Snapchat, Pinterest, Twitch, Bluesky, Truth Social, Rumble, Spotify, SoundCloud, GitHub, Google search, link-in-bio pages (Linktree etc.). Param names vary per endpoint (profiles use `handle`, keyword searches use `query`, Reddit uses `subreddit`). WARNING: returns RAW provider JSON — large and messy; prefer the dedicated search_* tools. Spends ScrapeCreators credits.
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  • P116 — paste-what-you-see metric fallback for channels without public-API measurement (X, LinkedIn, Email, landing pages, Product Hunt). USE WHEN a published action's channel doesn't have a public-JSON metrics endpoint (anything except hacker_news / reddit) AND the founder is ready to paste the visible numbers. Reads metadata.proof.artifactUrl to confirm the post is recorded, writes the provided metrics into metadata.proof.metrics + measuredAt, auto-classifies the outcome (channel-specific thresholds: X needs likes/replies, LinkedIn needs reactions/comments, Email needs opens/clicks/replies, etc.), and creates next-move actions just like the auto-measurement path. Returns the metric schema for the channel so callers can render the right form fields.
    Connector
  • Find B2B sales leads matching an industry / geography / size filter. Wraps `nexgendata/b2b-leads-finder`. Returns company-level leads with names, domains, and (where available) job-title contacts that match a Marketing Manager / sales-decision-maker profile. Use `enrich_lead_list` afterwards to add contact info. Args: industry: Industry vertical (e.g. "fintech", "SaaS", "healthcare"). country: Optional country / region filter (e.g. "Singapore", "USA"). employee_band: Optional LinkedIn-style size band ("11-50", "51-200", "201-500", "501-1000", "1001-5000", "5001+"). limit: Max leads to return (1-500, default 50).
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  • Find the work email for a person by name + company domain — give a person's full name and their company domain and get their verified business email (with job title and LinkedIn when available). B2B prospecting / outreach. Example: findymail_find_email({ name: "Patrick Collison", domain: "stripe.com", _apiKey: "your-findymail-key" })
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  • 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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  • Show every identity a connected account can act as, and which ones this BRAND is currently allowed to use — Facebook Pages + Instagram + Meta ad accounts, Google Ads customers, LinkedIn company Pages (and the personal profile), Pinterest ad accounts, Microsoft Advertising accounts. One person often administers several; only the ticked ones can be posted to or spent from. Call this before set_connector_accounts, and let the USER pick — never guess. Providers: meta, google_ads, linkedin, pinterest_ads, linkedin_ads, reddit_ads, microsoft_ads, google_business, google_analytics, snapchat_ads, x_ads, tiktok_ads. Read-only, free.
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  • Set WHICH of a connector's accounts this brand is allowed to post to and spend from — Facebook Pages / Instagram / Meta ad accounts, Google Ads customers, LinkedIn company Pages (and the personal profile), Pinterest or Microsoft Advertising ad accounts. Pass ids from list_connector_accounts. This REPLACES the current selection: anything you leave out is un-shared, and an EMPTY list shares nothing (publishing then refuses — it fails closed by design, and the server re-verifies every id against the live connection, so an id the account cannot actually reach is rejected rather than saved). Ask the user which accounts they mean; posting as the wrong Page is a public mistake. Providers: meta, google_ads, linkedin, pinterest_ads, linkedin_ads, reddit_ads, microsoft_ads, google_business, google_analytics, snapchat_ads, x_ads, tiktok_ads. Free.
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  • Read a compact, redacted readiness receipt for the account owner's private Talent Scout profile setup, including profile_version_updated_at for guarded writes through either public profile-upsert alias. Returns only setup status, compose readiness, and active search-rail readiness; never returns raw resume, LinkedIn, work history, claims, or private owner profile text.
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  • Get follower-growth statistics over the last days_back days for one LinkedIn profile. Defaults to your primary profile when profile_id is omitted.
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