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What is the People Data Labs MCP Server?

The People Data Labs MCP Server is a Model Context Protocol (MCP) server that provides an interface to the People Data Labs API. It allows AI Agents to access and utilize People Data Labs’ data models and search functionalities.

What is MCP?

MCP stands for Model Context Protocol. It’s an open protocol that standardizes how applications provide context to Large Language Models (LLMs).

What APIs are available through this MCP Server?

The server provides access to Person and Company APIs, as well as search capabilities for Schools, Locations, Job Titles, and Skills.

What can I do with the Person API?

You can enrich person profiles with additional data (Person Enrichment), search for people matching specific criteria (People Search), and enrich multiple person profiles in a single request (Bulk Person Enrichment).

What can I do with the Company API?

You can enrich company profiles with additional data (Company Enrichment) and search for companies matching specific criteria (Company Search).

How do I configure the People Data Labs MCP Server?

You can configure it automatically using provided scripts for Claude Desktop and VS Code, or manually by adding the server configuration to your MCP settings file.

What is an API Key and how do I get one?

An API key is a unique identifier used to authenticate requests to an API. You need a People Data Labs API key to use this server, which you can obtain from the People Data Labs website.

What is the enrich_person tool used for?

The enrich_person tool is used to add more data to a person’s profile, making it more complete. You can provide information like email, phone number, name, and social media profiles.

What is the search_people tool used for?

The search_people tool lets you find people who fit certain criteria, using a SQL-like query.

What is the autocomplete tool used for?

The autocomplete tool helps you complete partial queries for fields like company, school, title, skill, or location by suggesting possible values.

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