"Find people on LinkedIn by name" matching MCP servers:

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

. A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{

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 standalone MCP server that exposes typed LinkedIn capabilities (jobs, people, companies, posts, invitations, messaging) through the visible LinkedIn web UI, enabling workflow automation.

Enables searching and scraping of LinkedIn for structured data on people, companies, and job listings. It allows AI clients to retrieve detailed profiles, experience, and activity sections using browser automation.

AI agent for LinkedIn outreach: finds the right people, writes in your voice, follows up, replies. Six campaign goals: sell a product or service, find a job, hire people, find partners or investors, find a vendor, research interviews. Campaigns stay drafts until you launch them.

An MCP server that gives AI agents a private, durable memory of people, providing a personal people graph in PostgreSQL with tools to search, remember, and connect people, plus imports from LinkedIn, Google Contacts, and WhatsApp, and a browser UI.

MCP server that enriches LinkedIn profiles, companies, and enables people search using the Techtenstein LinkedIn Enrichment API.

Find personalized puzzle books by first name from a 100,000+ title Shopify catalog. Perfect gift-finding tool for any AI agent.

Automates LinkedIn recruiting tasks such as login, search with filters, paginated people search, and profile detail retrieval via Playwright.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for LinkedIn Ads (beta): https://www.cdata.com/download/download.aspx?sku=EBZK-V&type=beta

This read-only MCP Server allows you to connect to LinkedIn data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables Claude AI to interact with LinkedIn through browser automation, including profile reading, people and job search, company research, post publishing, and profile editing.

Enables AI agents to extract structured firmographic data from public LinkedIn company URLs, returning fields like name, industry, size, and headquarters.

An MCP server that provides access to the Library of Babel, allowing users to retrieve exact page contents by address, search for text to find its location, and generate random pages.

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.

Post to LinkedIn from Claude — create posts, upload images, edit/delete posts, and manage company pages via natural language. Uses the official LinkedIn REST API with OAuth 2.0.

Enables users to drive their own logged-in LinkedIn session through browser automation, with a mandatory preview-and-confirm step before any action is sent.

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.

A small MCP server that searches the 1Password/AgileBits employee directory (ChartHop) using a bearer token and returns matching people with name, job title, and profile URL.