MCP server for LinkedIn Company Page analytics, providing follower growth, demographics, page views, and engagement stats via the Community Management API.
Enables AI agents to access 56 LinkedIn platform and OSINT tools over MCP, including profile, post, messaging, connection, search, feed, and engagement operations plus company discovery, employee scraping, username generation, role classification, org chart building, and email deanonymization. Uses cookie-session authentication with local-harness-only live sessions.
Enables users to read and analyze their own LinkedIn posts and shares using OAuth login and LinkedIn's Member Data Portability API. Supports post listing, analysis, draft matching, and engagement enrichment.
Enables LinkedIn profile research, post analysis, business signal detection, ICP prospect matching, and sales opportunity discovery through natural language.
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.
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.
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.
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.
Runs all GTM signal tools in a single call and returns a unified company intelligence report combining hiring, tech stack, LinkedIn, and job board data.
MCP server providing read-only access to LinkedIn data (profiles, companies, posts, jobs, leads, ads, groups, and account info) via the HarvestAPI, exposing 25 tools over stdio.
An unofficial Model Context Protocol server that provides LinkedIn tools for searching users, enriching profiles, retrieving contact information, and conducting deep research through natural language interfaces.
Enriches user data by generating and providing social media profile links (Instagram, Facebook, Twitter, LinkedIn) based on user information like name and birth date.
Enables AI agents to query LinkedIn-adjacent company and employee data from Coresignal via MCP, supporting natural language requests through the Pipeworx gateway.
Enables AI agents to search and retrieve government contracts, job postings, LinkedIn profiles, YC startups, contact details, tech stacks, PDF text, and Google Trends through 13 integrated tools. It returns compact JSON, handles long-running queries with progress and run results paging, and runs the underlying scrapers on the user's Apify account.