"A method for finding people on LinkedIn based on company name" matching MCP servers:

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

Enables assistants to publish readable replies and status updates to e-ink displays and Home Assistant, with switchable characters and state retrieval through MCP tools.

A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.

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.

An MCP server exposing every documented Email on Acid API v5 request as a tool — 24 tools across authentication, email client lists, email rendering testing, and spam testing.

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

Local-first memory for AI agents about the people in your life. MCP server + CLI on SQLite. Never phones home.

Open MCP server for AI agents to discover people, jobs, collaborators and projects through semantic search over human-published context.

A production-ready MCP server for Method CRM API integration. It enables LLMs to interact with Method CRM data through tools for tables, files, users, events, and API key management.

Enables governed interaction with synthetic people data through MCP tools, providing per-caller scoped access, semantic-layer metrics, and read-only SQL with authorization checks.

An MCP Server that enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

Provides tools for vehicle service search, mechanic matching, and booking generation as part of a multi-agent AI system for roadside assistance.

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 for querying Taiwan company registry open data, enabling search by name, number, directors, business items, and branch offices.

Enables evidence-first company due diligence by resolving company identities, collecting verifiable facts with source URLs, timestamps, and payload hashes, flagging unverifiable dimensions, and generating auditable risk reports through MCP tools.

MCP server that exposes the Moloni ON GraphQL API to AI clients, providing a curated set of operations as typed and documented tools.

MCP server for querying a database of 1 million Korean personas with full-text search, enabling AI agents to retrieve detailed demographic, professional, and personal profiles.

Exposes nine governed analytics tools — attrition, headcount, tenure, salary, promotion, and more — plus a restricted read-only SQL execution path, so an HR analyst's plain-English question resolves to a versioned, reproducible method instead of free-form LLM-written SQL. Tool selection is driven by the LLM, while role-based access control, PII screening, SQL guards, result validation, and audit logging keep every answer within policy.

Enriches domains into full company profiles with firmographics and buying signals.