UBOS Asset Marketplace: Powering AI Agents with People Data Labs MCP Server

In the rapidly evolving landscape of AI and automation, the ability to access and leverage comprehensive data is paramount. UBOS, a full-stack AI Agent Development Platform, recognizes this crucial need and provides solutions that empower businesses to build and deploy sophisticated AI Agents across various departments. A key component of this strategy is the UBOS Asset Marketplace, which offers a curated selection of tools and integrations designed to enhance the capabilities of AI Agents. Among these invaluable assets is the People Data Labs MCP Server, a powerful bridge connecting AI Agents to a vast repository of people and company data.

What is the People Data Labs MCP Server?

The People Data Labs MCP Server is a Model Context Protocol (MCP) server that acts as an interface to the People Data Labs API. MCP is an open protocol standardizing how applications provide context to Large Language Models (LLMs). This integration allows AI Agents within the UBOS ecosystem to seamlessly access and utilize People Data Labs’ extensive data models and search functionalities. By wrapping the People Data Labs API, the MCP server simplifies the process of incorporating rich people and company data into AI Agent workflows, making it easier than ever to build data-driven AI applications.

Key Features and Benefits

The People Data Labs MCP Server offers a comprehensive suite of features designed to enhance data accessibility and streamline AI Agent development:

• Person API:
  • Person Enrichment: Augment person profiles with additional data points, providing a more complete and nuanced understanding of individuals.
  • People Search: Conduct targeted searches for people based on specific criteria using SQL-like queries, enabling precise identification of relevant individuals.
  • Bulk Person Enrichment: Efficiently enrich multiple person profiles in a single request, saving time and resources.
• Company API:
  • Company Enrichment: Enhance company profiles with supplementary data, offering deeper insights into organizations.
  • Company Search: Search for companies matching particular criteria, facilitating the discovery of relevant businesses.
• Additional Data Models:
  • School Search: Locate schools based on specific attributes.
  • Location Search: Find locations matching defined criteria.
  • Job Title Search: Identify job titles meeting specific requirements.
  • Skill Search: Discover skills that align with particular criteria.
• Utilities:
  • Autocomplete: Obtain autocomplete suggestions for various fields, improving search accuracy and efficiency.

Use Cases: Unleashing the Potential of Data-Driven AI Agents

The integration of the People Data Labs MCP Server within the UBOS platform unlocks a wide array of use cases across various industries and applications. Here are a few examples:

• Recruiting and Talent Acquisition: AI Agents can leverage the Person API to enrich candidate profiles with comprehensive data, enabling recruiters to identify top talent more effectively. The People Search functionality allows for targeted searches based on specific skills, experience, and location, streamlining the recruitment process.
• Sales and Lead Generation: Sales teams can utilize the Company API to enrich company profiles with valuable insights, such as industry, size, and location. This data can be used to identify potential leads and personalize sales outreach, increasing conversion rates.
• Marketing and Customer Intelligence: Marketers can leverage the Person API to gain a deeper understanding of their target audience, including their demographics, interests, and professional backgrounds. This information can be used to create more targeted and effective marketing campaigns.
• Compliance and Risk Management: The People Data Labs MCP Server can be used to verify the identities of individuals and companies, helping organizations comply with regulatory requirements and mitigate risk.
• Research and Analysis: Researchers can utilize the various search APIs to gather data on people, companies, schools, locations, job titles, and skills. This data can be used to conduct market research, analyze industry trends, and identify emerging opportunities.

Seamless Integration with the UBOS Platform

Integrating the People Data Labs MCP Server into the UBOS platform is a straightforward process. UBOS provides comprehensive documentation and support to guide users through the setup and configuration process. The platform’s intuitive interface allows users to easily access and utilize the various features of the MCP server, empowering them to build and deploy data-driven AI Agents with ease.

Getting Started with People Data Labs MCP Server on UBOS

To begin leveraging the power of People Data Labs within the UBOS ecosystem, follow these steps:

1. Access the UBOS Asset Marketplace: Navigate to the Asset Marketplace within the UBOS platform.
2. Locate the People Data Labs MCP Server: Search for “People Data Labs” or “MCP Server” to find the asset.
3. Install the Asset: Follow the on-screen instructions to install the People Data Labs MCP Server.
4. Configure the Server: Configure the MCP server with your People Data Labs API key.
5. Start Building AI Agents: Begin incorporating the People Data Labs MCP Server into your AI Agent workflows.

Deep Dive into Available Tools

The People Data Labs MCP Server provides access to a rich set of tools categorized under different APIs. Here’s a detailed look at some of the key tools available:

Person API Tools

• enrich_person: This tool enriches a person profile with additional data from People Data Labs. It accepts parameters such as email, phone, name, profile URLs, location, company, and job title. At least one of these parameters must be provided.
  • Example Use Case: Enhancing a lead’s profile with their current job title and company details using their email address.
• search_people: This tool allows you to search for people matching specific criteria using SQL-like queries. You can specify the query and the number of results to return (up to 100).
  • Example Use Case: Finding all software engineers in San Francisco with a specific skill set.
• bulk_person_enrich: This tool enables you to enrich multiple person profiles in a single request, making it efficient for processing large datasets.

Company API Tools

• enrich_company: This tool enriches a company profile with additional data. It accepts parameters such as company name, website, profile URLs, and stock ticker symbol. At least one of these parameters is required.
  • Example Use Case: Obtaining industry and employee size information for a target company using its website.
• search_companies: This tool lets you search for companies based on specific criteria using SQL-like queries. You can define the query and the number of results to return (up to 100).
  • Example Use Case: Identifying all Fintech companies in New York City with more than 50 employees.

Additional API Tools

The MCP Server also provides tools for searching schools, locations, job titles, and skills. Each of these tools (search_schools, search_locations, search_job_titles, search_skills) accepts a SQL-like query and a size parameter to limit the number of results.

Utility Tools

• autocomplete: This tool provides autocomplete suggestions for various fields, including company, school, title, skill, and location. It requires a field to autocomplete and a partial text to generate suggestions.
  • Example Use Case: Suggesting company names as a user types in the beginning of a company name.

Configuration and Setup

Setting up the People Data Labs MCP Server involves cloning the repository, installing dependencies, building the project, and configuring your People Data Labs API key. The project includes scripts for automatic configuration with Claude Desktop and VS Code, simplifying the setup process. Manual configuration is also possible by adding the MCP server configuration to your MCP settings file.

UBOS: Your Partner in AI Agent Development

UBOS is committed to empowering businesses with the tools and resources they need to build and deploy successful AI Agents. The integration of the People Data Labs MCP Server into the UBOS Asset Marketplace is just one example of this commitment. By providing seamless access to valuable data sources, UBOS enables organizations to unlock the full potential of AI and drive innovation across their operations. Leverage UBOS platform to orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

In conclusion, the People Data Labs MCP Server on the UBOS Asset Marketplace represents a significant advancement in the accessibility and utilization of people and company data for AI Agent development. By leveraging this powerful integration, businesses can build more intelligent, data-driven AI applications that drive growth, improve efficiency, and enhance customer experiences. Embrace the power of data and unlock the potential of AI Agents with UBOS.