HorizonDataWave (HDW) MCP Server Overview

The HDW MCP server bridges the gap between AI assistants and LinkedIn’s rich ecosystem by exposing a unified set of tools that cover both data retrieval and account management. For developers building conversational agents or automation workflows, this server solves the common pain point of having to write and maintain multiple OAuth‑based integrations against LinkedIn’s API endpoints. By encapsulating the authentication, rate limiting, and data shaping logic within a single MCP service, developers can focus on crafting business‑logic rather than plumbing.

At its core, the server offers a comprehensive LinkedIn search and lookup surface. Whether you need to find prospects by keyword, filter candidates by title or industry, or discover company employees, the and related query tools return structured profiles that include experience, education, and skill sets. This enables AI assistants to surface highly relevant candidate or partner lists on demand, making talent acquisition and networking workflows far more efficient. In addition to passive data pulls, the server empowers agents with active account controls: sending connection requests, posting comments, and even engaging in real‑time chat via the LinkedIn management API. This dual read/write capability turns a static data hub into an interactive outreach engine.

Key capabilities include:

• Advanced search filters that allow fine‑grained queries across names, titles, companies, locations, industries, and education.
• Profile enrichment with optional flags for experience, education, and skills to tailor the depth of data.
• Email‑based user discovery, facilitating quick lookups when only an email address is known.
• Content analytics through post and reaction retrieval, giving insights into a user’s engagement patterns.
• Account management tools for chat messaging, connection invitations, and comment posting, all wrapped in a single API surface.

Real‑world use cases span from automated lead generation and account‑based marketing to HR recruitment bots that can not only identify candidates but also initiate conversations. Marketing teams can deploy AI agents to surface trending posts, engage with prospects through comments, and track response metrics—all within the same workflow. Recruiters can build chat‑based assistants that pull candidate profiles, send personalized connection requests, and schedule interviews via LinkedIn’s messaging system.

Integration with AI workflows is straightforward: an MCP‑enabled assistant simply calls the relevant tool, receives a structured JSON payload, and can immediately feed that data into downstream reasoning or generation steps. Because the server handles pagination limits (up to 1000 results) and timeout settings, developers can rely on consistent performance without having to implement retry logic. The standout advantage is the seamless blend of read and write operations in a single, well‑documented protocol—an uncommon feature among social‑media‑centric MCP servers. This makes the HDW MCP Server an indispensable component for any AI application that needs to interact deeply with LinkedIn’s platform.