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

LinkedIn MCP Assistant

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

MCP server for managing LinkedIn content workflows. It generates images via OpenAI, stores assets in Cloudinary, and queues drafts through Buffer with mandatory human approval.

A Model Context Protocol server that enables AI assistants like Claude to read from, append to, and format text in Google Documents programmatically.

Enables posting text and media content directly to LinkedIn from Claude Desktop with support for authentication and visibility controls.

Provides MCP-compatible AI clients with full access to a Flarum forum's API, enabling reading, searching, creating discussions, replying, moderation, and management of users, tags, and groups.

lets you interact with your meeting data (to list, ask, summarize, extract - virtually anything about your meeting) through Claude’s desktop client across Zoom, Google Meet and MS Teams via tl;dv.

Enables AI agents to manage LinkedIn content through Taplio, including drafting, scheduling, publishing posts, and analytics.

Enables creation of optimized LinkedIn posts using a component-based design system with variants, themes, and composition patterns. Supports multiple post types (text, document, poll, video, carousel) with research-backed optimization for maximum engagement.

AI-powered content generation for LinkedIn outreach, helping sales teams and recruiters craft personalized connection requests, InMails, posts, comments, and multi-touch outreach sequences. It's a content assistant that generates text for human review and manual sending, fully compliant with LinkedIn's Terms of Service.

Enables AI agents to draft, format, and manage LinkedIn posts through a review pipeline, with human approval via a web UI before publication.

Automates posting articles to Dev.to and sharing posts on LinkedIn via command-line, cron jobs, or Copilot sessions.

Enables AI agents to edit Google Docs via text anchors rather than character indices, preserving version history and enabling surgical edits without full document rewrites.

MCP server for Yandex Wiki with full-text search. Read and write pages, comments, attachments, and dynamic tables (grids); optional server-side read-only mode for agents. Docker-ready.

Enables low-level interaction with Google Slides API, including template reuse, element bounding box editing, slide rendering, and batch updates for automated slide deck creation.

Enables interaction with Google Slides presentations through OAuth2 authentication. Supports creating new slides, adding rectangles, and managing presentation content through natural language commands.

Enables reading and extracting structured data from Google Docs and Sheets, including text, tables, formulas, and images. It supports advanced image handling and multiple authentication methods for interacting with private and public workspace files.

Provides AI agents with ground-truth knowledge of Strapi projects by reading real schema files, enabling accurate queries and safe refactoring operations.

A free WordPress plugin that turns your site into a governed MCP server, exposing 153 curated WordPress abilities (posts, media, users, WooCommerce, ACF, SEO) as tools for AI agents like Claude and Cursor. Every ability is off by default, scoped to a least-privilege user, capability-gated, and logged.

Enables MCP clients to search, read, list, create, update, and delete Wiki.js pages using a user's own Google Workspace identity, with Wiki.js enforcing all authorization.