"Finding People on LinkedIn" matching MCP servers:

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.

MCP server for LinkedIn Company Page analytics, providing follower growth, demographics, page views, and engagement stats via the Community Management API.

Enables access to comprehensive LinkedIn data, including professional profile details, company information, and social engagement metrics. It supports searching for people, retrieving posts and comments, and fetching detailed experience, skills, and recommendations.

Analyzes LinkedIn profiles for specific companies and roles to extract career patterns and insights using AI.

Resolves any combination of company name, domain, or LinkedIn URL into the canonical company identity (name, domain, LinkedIn URL) with confidence scores and match method.

Extracts people (names and titles) from a company's team, leadership, or about page given a domain. Uses Apify to crawl and return structured data, with optional filters for seniority and email inclusion.

Enables fetching daily Product Hunt launches as dataset rows with maker names, product website and company domain, X and LinkedIn links, votes, rank, and topics. Users can filter by specific days or days back, topics, keywords, and minimum votes, or skip already-seen launches on a schedule.

Enables users to estimate employee count bands for company domains by aggregating LinkedIn company size from Google results, Wikidata, and homepage declarations. Returns source, confidence score, and optional GitHub member and open-job context.

Enables monitoring of job postings by keyword, returning companies currently advertising those roles enriched with firmographics and LinkedIn URLs via Apify.

Enables finding companies similar to seed domains or best customers, ranked by a 0–100 similarity score with supporting evidence for each match. Runs on Apify and returns Clay-ready results with optional business model, Reddit, and marketplace checks.

Allows searching and enriching companies, people, job postings, and social posts via the DataForB2B API, bringing lead generation and market intelligence into MCP-compatible clients like Cursor and Claude.

MCP server for Apollo.io B2B data discovery and enrichment, enabling company search, people search, contact enrichment, and organization firmographics through Apollo's REST API.

Enables users to find people who recently started matching roles at target companies within a specified lookback window, returning flat JSON rows with profile, title, start month, prior role, move type, and source.

Exposes NCBI PubMed as MCP tools for searching literature, fetching abstracts, exploring citation graphs, and finding author publications without requiring an API key.

Feedback collection for AI agents. Create surveys from JSON schema, collect responses from groups of people, and retrieve structured results.

Resolves company domains to their LinkedIn pages, providing exact follower counts and public firmographics such as industry, company size band, headquarters, founded year, and specialties.

Delivers comprehensive company intelligence in a single tool call, aggregating profiles, tech stacks, key people, news, and corporate data from any domain or company name. Sources data from Wikipedia, GitHub, OpenCorporates, and web scraping to provide structured business insights using only free public APIs.

Academic peer-review (HAKEM), research-gap finding, journal recommender (1,214 venues with predatory flags), duplicate publication checker, and article writer tools from Science AI Journal. Free local FTS5 tools + LLM-backed tools that bill the caller's account.

LinkedIn prospect intelligence inside Claude. It automates the research behind outreach, not the sending: scrapes posts, profiles and comment threads into a local SQLite database, classifies what a person or company actually posts about, mines comment threads for people already describing your problem, and surfaces uncommon commonalities worth opening with.

Enables first-order logic reasoning including theorem proving, model finding, counterexample detection, and category theory diagram verification using pure TypeScript with no external dependencies.