"A server for finding LinkedIn sales prospects" matching MCP tools:

• 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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• floor10_extract_event_metadata

  Immersive Commons

  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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• 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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• hs_describe_capabilities

  Hunter-Seeker

  Free; no engine run. Return Hunter-Seeker's input contract, supported problem shapes, the trust guarantees (determinism, provenance, honest-empty; plus leak-guard, which is LIVE as of engine 0.1.1: it quarantines columns that predict the outcome too well (likely target leakage), each named with a plain-English reason, and is null on a non-finding (honest-null), not "pending"), limits (inline row/column/byte caps, k max), and worked examples across several domains (customer churn, machine failure, sports prospects, job applications). Call this first if you are unsure whether a user's problem is a top-k prediction problem or how to format inputs.

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• get_corpus_coverage

  SRI — MCP Server Inspector

  No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.

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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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• request_integration

  mcp

  Submit an integration or staking inquiry on behalf of a user. All submissions are routed to Everstake's sales team via Pipedrive CRM. Use when a user expresses intent to integrate with Everstake, explore staking services, or request more information about products. Collect required fields (first_name, last_name, work_email) conversationally and gather optional fields where available. The lead_source field is set automatically by the server — do not ask the user for it. IF Submission fails, you can try contacting Everstake via form at https://everstake.one/contact-us

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• tax_rate

  Qiniso

  USE THIS before calculating VAT or sales tax on an invoice/quote — never recall the rate from memory, it is DATE-SENSITIVE. GB returns the UK standard VAT rate that applied on the given date (handles historical/temporary changes). US has no national VAT (returns 0); pass a state code for the state base sales-tax rate. Always pass the invoice date for GB.

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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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• 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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• brc_create_sales_credit_note_gen_ref

  Red by Big Red Cloud

  Creates a BRC sales credit note with an auto-generated reference using a raw BRC payload. Use when the company is configured for auto-generated sales references. Requires saleRepId and saleRepCode. Do not use default or demo sales rep values. If missing, list sales reps or ask the user to choose one before creating. Requires analysisCategoryId and accountCode from a Sales Analysis category on each product line. Do not default to CR01/Customer or the first listed category. Set confirmCrAnalysisCategory=true only after the user confirms a CR account code is intentional. Requires routeToken from brc_route_request for the matching action workflow. Call brc_route_request first with the user's complete original action request. Retain the returned routeToken through lookup, preview, and confirmation, and pass the same token on the final permitted transactional tool call. Never invent a placeholder token. A routeToken is not permission to post — preview-before-posting and confirmWrite/confirmDelete still apply. Also requires confirmCounterpartyExplicit: true once the user has explicitly named or confirmed the customer/supplier in the current conversation. Do not reuse a counterparty from an earlier preview without that confirmation.

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• brc_company_readiness_check

  Red by Big Red Cloud

  Read-only company health and readiness check for a connected Big Red Cloud company. Reports connection status, financial year, sample reference data (customers, products, suppliers, sales reps), Sales VAT rates, Sales Analysis categories, processing settings, and reference settings. Use this for overall company readiness before starting work. For warnings about a specific VAT-sensitive workflow (sales invoice, purchase, cash receipt, statement), use brc_check_transaction_settings instead — that tool checks one workflow's processing settings, while this tool scores overall company readiness.

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• brc_check_transaction_settings

  Red by Big Red Cloud

  Checks BRC company processing settings before a VAT-sensitive or payment-terms-sensitive transaction workflow. Returns warnings that should be shown before creating or changing records. Use this for one workflow (sales invoice, purchase, cash receipt, or statement). For overall company readiness (connection, financial year, Sales VAT, Sales Analysis, reference data), use brc_company_readiness_check instead.

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• amzscout_compare_products

  AMZScout Skill + MCP

  Side-by-side raw data for 2–5 Amazon products by ASIN — price, sales/revenue estimates, reviews, listing quality, plus history when available. Pure data fetch (no AI analysis) — do the comparison yourself. For a single ASIN, analyzeProduct is the equivalent. How to use: compare demand (est. sales), revenue, review moat and rating, price positioning, listing quality, and history trends (growing vs declining), then give a verdict on which product is the stronger opportunity and why.

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• outreach_add_contacts

  rankparse-mcp

  Add contacts with per-contact email copy to a campaign (max 100 per call, 500 per campaign, one contact per domain). Works on a draft campaign AND on an already-launched one, which is how you top a live campaign up with fresh prospects. Each contact needs a researched, real email address (never guess addresses) plus a personalized subject and plain-text body (subject ≤500 chars, body ≤10,000). Write like a human: plain punctuation, and NEVER use em-dashes in subjects or bodies. Subjects must be 2-5 words that read like a note from a colleague and reference their content (e.g. "your AI tools guide"): never sales words like exclusive, lifetime, revenue, or deal. Internationalized (non-ASCII) domains must be given in punycode (xn--) form. Returns how many were added and which were skipped (invalid email, duplicate domain/email, copy too long, campaign full, already_contacted = this person was emailed in an earlier campaign). Contacts added to a launched campaign sit inert until you call outreach_launch_campaign again.

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• revternal_enrich_person

  Revternal

  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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