"A guide to finding people on LinkedIn by their names" 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.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

Enables querying England & Wales baby names data from ONS birth registrations, including top names, popularity trends, geographic breakdowns, and similar names.

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.

MCP server for LinkedIn publishing from AI coding assistants. Dry run by default, SKILL.md for safe workflows, 28 unit tests. MIT licensed.

MCP server that posts to LinkedIn through the LinkedIn API. Enables creating text posts on your LinkedIn profile using natural language from any MCP-compatible client.

Enables LinkedIn API integration for managing profiles, posts, feed, connections, and sending messages through MCP-compatible clients.

The Excel to JSON MCP provides a standardized interface for converting Excel and CSV data into JSON format using the Model Context Protocol.

Enables AI agents to publish posts, images, comments, and reactions to LinkedIn as the authenticated user, with built-in safety features like daily budgets and deduplication.

The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format

MCP server for LinkedIn that enables AI agents to post, comment, like, and manage content on LinkedIn.

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables AI agents to manage LinkedIn profiles, posts, connections, skills, education, and certifications through the LinkedIn API.

Enables AI agents to manage LinkedIn profiles, posts, connections, skills, education, certifications, and other professional data through the LinkedIn API.

Enables publishing explicitly approved text posts to LinkedIn and checking connection status via a stateless MCP connector.

Provides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.

Enables LLMs to manage LinkedIn posts and view analytics through a set of MCP tools, including creating, reading, and deleting posts, checking authentication, and retrieving profile info.