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

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.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

A throwaway HTTP MCP server that empirically tests whether Cursor invokes tools by exact name or munges them, to inform case normalization decisions.

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.

Enables AI assistants to access and interact with LinkedIn data—profiles, messaging, jobs, companies, and more—via MCP, with remote or local deployment.

An unofficial Model Context Protocol server enabling AI assistants to access LinkedIn profile data, network connections, search people and jobs, and send messages via OAuth 2.1.

Dynamic tools to automate tasks on LinkedIn website.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

MCP server for LinkedIn, enabling posting, liking, commenting, and profile retrieval via official OAuth 2.0. Features CLI, HTTP admin, and optional Telegram bot.

A hardened MCP server that enforces authentication via Easy Auth and OAuth, manages secrets with Key Vault, and restricts network access using VNet integration and API Management, enabling secure tool invocations through a fully private infrastructure.

Enables sending LinkedIn messages and invitations, reading conversations, and managing outreach through natural language by automating a real LinkedIn session via a Chrome extension.

A production-ready generic FastMCP server template with SQLAlchemy async CRUD, enabling rapid bootstrapping of MCP data-management services. It provides registry-driven CRUD, FK resolution, conflict versioning, and multiple transports.

An MCP server providing generic browser automation and HTTP primitives for operating a LinkedIn session, supporting local Chromium or cloud browsers, with deterministic tools and optional AI tasks.

MCP server that lets AI agents operate a real LinkedIn account in plain English with safety controls and approval queues.

A production-minded RAG service for MCP that answers questions over your documents with hybrid retrieval, PII redaction, and source citations, packaged for Docker/Kubernetes.

Local-first MCP server using LinkedIn's official OAuth and REST APIs to connect a member account, read profile, and publish text posts.

Connects AI assistants to Jira Service Management instances, providing 40 tools for managing service desks, requests, comments, customers, organizations, queues, SLA, approvals, and attachments.

Enables Claude to access and analyze LinkedIn profile data through the Model Context Protocol, allowing users to query their LinkedIn information directly within Claude Desktop.

Lets an AI assistant operate LinkedIn through an authenticated browser session, enabling profile management, posting, networking, messaging, job search, and automated applications.

A professional-grade MCP server that enables AI assistants to monitor web services, APIs, and HTTP endpoints with enterprise-level security.