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MeasureOne MCP Server

1. Introduction

The MeasureOne MCP Server is a hosted Model Context Protocol (MCP) server that integrates MeasureOne’s data verification capabilities with AI and development tools such as Claude or Cursor. It enables secure, real-time access to MeasureOne’s APIs for verification and credential validation directly within an AI environment — simplifying workflows for developers, data partners, and clients.

2. Getting Started

2.1 Prerequisites

Before you begin, ensure the following prerequisites are met:

  1. Node.js — version ≥ 20.18.1
  2. MCP Remote CLI (install globally using npm)
    npm install -g mcp-remote
  3. Pick your preferred platform for integration:
  4. Environment configuration, MeasureOne supports two environments for your needs
    EnvironmentDescriptionURL
    StagingFor testing and developmenthttps://mcp-stg.measureone.com/v1
    ProductionFor live applicationshttps://mcp.measureone.com/v1
  5. Access to your Credentials. To integrate with MeasureOne, you'll need a client_id and secret for each environment. You can retrieve these credentials by logging into the Staging Dashboard. or Production Dashboard. Once you have client_id and secret you need to generate access token by calling this API. Once you have client_id and secret you need to generate access token by calling this API.

3. Configure MeasureOne MCP Server

You can connect the MeasureOne MCP Server to any supported tool.
Follow the setup instructions for your platform below.

3.1 Claude Configuration

  1. Open Claude → Settings → Developer → Edit Config.
  2. Update (or create) the claude_desktop_config.json file and replace the contents of the configuration file with the following JSON structure
    {
  "mcpServers": {
    "m1-mcp": {
      "command": "node",
      "args": [
        "mcp-remote",
        "https://mcp-stg.measureone.com/v1"
      ]
    }
  }
}
  3. Save the file and restart Claude.
  4. You’ll now see MeasureOne MCP listed in Claude’s Search and Tools menu.
  5. Open a new chat and start using start using the MeasureOne MCP server.

3.2 Cursor Configuration

  1. Open Cursor → Cursor Settings → Tools & MCP → New MCP Server.
  2. Update the mcp.json, replace the contents of the configuration file with the following JSON structure. Once saved you will be able to see m1-mcp under the Installed MCP servers
    {
  "mcpServers": {
    "m1-mcp": {
      "command": "node",
      "args": [
        "mcp-remote",
        "https://mcp-stg.measureone.com/v1"
      ]
    }
  }
}
  3. Save the file and restart Cursor.
  4. Open the Cursor chat and start using the MeasureOne MCP server.

4. Key Capabilities

  • Academic Verification: Verify academic credentials and enrollment status
  • Employment Verification: Verify employment history and income information
  • Insurance Verification: Verify insurance coverage and policy details
  • Financial Analysis: Analyze financial data including realized gains
  • Comprehensive Background Checks: Complete background verification
  • Lending Verification: Verify borrower information for loan applications
  • Tenant Screening: Screen potential tenants for rental applications
  • Insurance Underwriting: Verify information for insurance underwriting decisions

6. Example Usage

Once configured, you can interact with MeasureOne MCP using natural language commands, for example:

Create an individual named John Doe.

or

Verify employment for Jane Smith.

The MCP Server will securely connect to MeasureOne’s APIs and return real-time verification results within your chosen AI or IDE environment.