"A search for finding people using Google, LinkedIn, and other databases" matching MCP servers:

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

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.

Enables Large Language Models to perform real-time web searches using Google Custom Search API. Integrates with Claude Desktop to retrieve current information from the internet.

Enables LLMs to perform real-time Google searches and retrieve web results via the MCP protocol.

Enables AI assistants to perform web and image searches through a Google Programmable Search Engine, with pagination, language/country filters, and safe search.

MCP server for the Google Search Console API. Enables search performance analytics, sitemap management, URL index inspection, and property management through natural language.

Enables MCP clients to perform live Google searches and retrieve structured SERP data including organic results, AI Overviews, People Also Ask, AI Mode answers, news, shopping, and short-video results via eight read-only tools.

Enables Google search with advanced options (date, language, country, safe search) and webpage content extraction via the Model Context Protocol.

Read-only MCP server for Google Search Console: performance queries, URL inspection, indexing checks, sitemaps, and one-call HTML SEO audit reports.

Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.

Enables any MCP-compatible AI client to search the live web via Google's Custom Search JSON API, returning top results with titles, links, and snippets.

Enables comprehensive web and news searches via the Google Custom Search API with integrated content extraction using the Mozilla Readability algorithm. It allows users to perform quick snippet lookups or deep searches that fetch and format full article content into clean markdown.

Provides advanced Google Custom Search functionality, web content extraction, and specialized research tools such as search analytics, multi-site search, and fact checking. Works as an MCP server compatible with any MCP client.

An MCP server that enables AI models to perform Google Web searches using the Gemini API, complete with citations and grounding metadata for accurate information retrieval. It is compatible with Claude Desktop and other MCP clients for real-time web access.

Provides Google Search trend data as an MCP tool, with historical series, growth percentages, and live trending searches, no scraping or rate limits.

A Model Context Protocol server that enables AI assistants to perform web searches using Google Search API, returning up to 20 search results in JSON format.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

A Model Context Protocol (MCP) server that provides Google Search functionality with StreamableHTTP transport support.

Open source MCP server specializing in easy, fast, and secure tools for Databases.

An MCP server for searching Google Scholar, enabling paper search, author lookup, citation tracking, and BibTeX export for AI assistants and automation workflows.

Enables Google search functionality through the Google Custom Search API with enterprise-grade security authentication. Supports streamable HTTP transport protocol for real-time search operations with configurable result limits.

Enables AI agents to query Google Search Console data including search analytics, URL inspection, sitemap management, and site performance monitoring, with per-user OAuth authentication.

A Model Context Protocol (MCP) server that provides AI-powered Google search functionality using Gemini.

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.

An MCP server that enables AI agents to manage Google Search Console properties, including checking index status, requesting indexing, submitting sitemaps, and pulling search analytics with per-property quota tracking.

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

Enables AI assistants to read a member's own LinkedIn data — profile, connections, messages, posts, and other snapshot domains — through LinkedIn's Member Data Portability API. Access is strictly read-only, with search, pagination, and recent-activity changelog support.