HDW-MCP-Server provides a bridge between AI assistants and Horizon Data Wave's LinkedIn API, enabling comprehensive access to LinkedIn data and functionality. The TypeScript implementation exposes tools for searching users, retrieving profiles, accessing posts and reactions, managing connections, sending messages, and interacting with companies through the Model Context Protocol. Built with the MCP SDK, it handles authentication via environment variables and includes robust error handling and logging. This server is particularly valuable for use cases requiring LinkedIn data access directly within AI assistant conversations, such as sales prospecting, recruitment research, and professional networking.
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List endpoints in a category with their params and LLM hints. Always call before execute.
Fetch data. Returns first 10 items + cache_key. Parameters: source (string), category (string), endpoint (string), params (object).
Paginate cached items without re-fetching. Parameters: cache_key (string), offset (number), limit (number).
Filter / sort / aggregate cached items locally. Parameters: cache_key (string), conditions (optional array), sort_by (optional string), aggregate (optional string), group_by (optional string).
Dump the full dataset to a specified format. Returns a local file path. Parameters: cache_key (string), format (string).
