Overview

The HDW LinkedIn MCP Server is a specialized integration that bridges AI assistants with the full spectrum of LinkedIn and Instagram data, all powered by the AnySite API. It solves a common pain point for developers: accessing rich social‑media profiles, posting activity, and account management from within an AI workflow without building custom scrapers or dealing with OAuth complexities. By exposing a well‑defined set of tools over the Model Context Protocol, it lets AI agents retrieve, analyze, and act on social‑media information in a single, consistent interface.

At its core, the server offers search and lookup capabilities for LinkedIn users. Developers can filter candidates by name, title, company, location, industry, or education, and then pull detailed profiles—including experience, skills, and education—using a single function call. The ability to look up users by email adds an extra layer of precision for contact‑centered applications. For Instagram, the server provides user and post retrieval, along with comment extraction, enabling cross‑platform data enrichment.

Beyond passive data access, the server supports active account management. Through tools that send connection invitations, post comments, and retrieve chat messages, an AI assistant can maintain engagement loops on LinkedIn directly from the conversation. This is invaluable for sales, recruiting, or community‑building bots that need to perform actions on behalf of a user without manual intervention.

Key features include:

• LinkedIn User & Company Search with fine‑grained filters and Google‑powered company discovery.
• Post, Reaction, Comment, and Repost Retrieval for deep content analysis.
• Instagram Data Access covering profiles, posts, and comments.
• Account‑level tools for chat, connections, and posting.
• Robust timeout and pagination controls, allowing large‑scale data pulls without overwhelming the API.

Typical use cases span talent acquisition (searching for prospects and auto‑connecting), marketing analytics (scraping brand sentiment from posts and comments), and automated outreach (posting updates or replying to messages). In a typical AI workflow, the assistant calls a search tool, receives a list of relevant profiles, and then uses subsequent tools to gather deeper insights or initiate engagement—all within the same conversational context. This tight coupling eliminates data silos and accelerates decision‑making.

What sets this MCP server apart is its single‑source, policy‑aware API. All interactions respect LinkedIn’s usage policies because the AnySite backend handles authentication and rate‑limiting. Developers can therefore build compliant, scalable solutions without wrestling with LinkedIn’s developer portal or custom compliance logic. The result is a powerful, ready‑to‑use bridge that turns an AI assistant into a proactive social‑media partner.