"A guide to finding people on LinkedIn by their name" matching MCP servers:

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

An MCP server that enables users to retrieve trivia questions and answers across various categories through the API-Ninjas Trivia API. It supports customizable result limits and filtering by categories like science, history, and entertainment.

Enables users to search and retrieve fitness exercise information from the Api Ninjas database. It supports filtering by exercise name, target muscle, type, and difficulty level.

Enables users to search for and retrieve detailed information about celebrities from the API Ninjas database. Supports filtering results by name, nationality, net worth range, and height.

MCP server for GoCertius: certified evidence, dossiers, notifications and chats via AI agents.

MCP server for EAD Factory that enables qualified evidence, signature, notifications, and chat via AI agents.

Generates Lorem Ipsum placeholder text with customizable parameters including paragraph count, length, and formatting options through the API Ninjas service.

MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.

Enables AI agents to interact with EAD Enterprise Suite for managing signatures, evidence, notifications, and dossiers.

A calculator-focused MCP server template with tools, resources, and prompts built on NitroStack.

A unified Open Source Intelligence toolkit that integrates data sources like Censys, Shodan, and LinkedIn for comprehensive infrastructure and identity research. It enables users to perform automated email verification, vulnerability scanning, and person or company enrichment directly through Claude.

MCP server integrating multiple Google Workspace services including Gmail, Calendar, Drive, Sheets, Docs, Tasks, People, Forms, and Slides, enabling users to manage emails, events, files, documents, and more through natural language.

Enables access to LinkedIn data through the Li Data Scraper API, supporting profile enrichment, company details, people search, post interactions, and activity tracking.

Enables Claude to plan trips by performing live searches against Google Flights, hotels, vacation rentals, activities, and events, plus weather and currency conversion.

Query PainSpotter to discover validated business opportunities and trending pain points mined from Reddit, Hacker News, and Product Hunt.

An MCP server that lets Claude analyze your TradingView charts by reading the window and taking screenshots, with no write tools or trade execution.

Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.

Enables AI assistants to query, analyze, and discover FileMaker database schemas via OData v4, with pandas-powered analytics for efficient data summaries.

Enables local forensic analysis of files by orchestrating system binaries (file, exiftool, strings, Volatility) via safe subprocess execution.

Provides policy-based access control, incident tracking, and compliance monitoring to govern AI agent behavior. It enables organizations to enforce security rules and maintain audit trails by validating agent actions against trust levels and pattern-based policies.