"A service for finding people on LinkedIn by name" matching MCP servers:

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

Enables viewing your own LinkedIn account data—such as profile views, applications, saved jobs, job listings, and notifications—as structured tool results, with optional gated write actions for saving or unsaving jobs and unfollowing companies.

Enables AI agents to read and create customers, jobs, estimates, invoices, calendar tasks, equipment, technicians, and reference data through the documented Service Fusion REST API, handling OAuth 2.0 and pagination automatically.

Enables searching and scraping of LinkedIn profiles, companies, jobs, and posts using natural language through MCP-compatible AI clients.

LinkedIn prospection automation — find leads, score (fit+intent+urgency), qualify, personalize messages, run full pipeline, manage sales funnel. 7 MCP tools.

Enables AI assistants to search LinkedIn Sales Navigator contacts and accounts by driving a real logged-in browser and capturing Sales Navigator's own search API responses.

Enables AI assistants to read LinkedIn profiles, company pages, jobs, messages, and feed through a user's logged-in browser session.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

An MCP server that lets AI assistants read LinkedIn data through the user's logged-in browser session, providing tools for profiles, companies, job searches, messaging, and feeds.

Enables automated LinkedIn growth by posting, commenting, and managing connections through Claude Code, with daily scheduled tasks for inbox replies and connection requests.

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.

Enables AI assistants to interact with LinkedIn by scraping profiles, companies, job postings, and getting personalized job recommendations using authenticated browser automation.

Analyzes LinkedIn saved jobs with EROI scoring and writes analysis back to a knowledge base for automated reporting.

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

Enables read-only extraction of LinkedIn profile data via MCP tools, using a local browser bridge for secure, authenticated access without exposing browser credentials.

32 MCP tools for job search, resume analysis, matching, alerts, and exports using public LinkedIn endpoints, with optional read-only browser intelligence.

Enables access to LinkedIn data including profile enrichment, company information, job searches, post analytics, and social interactions through the LinkedIn Api8 API with comprehensive search and data retrieval capabilities.

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.

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.