REST API vs MCP vs CLI: Which HireSquire Integration Should You Use?

HireSquire offers three primary integration methods - each optimized for different use cases. This decision framework helps you choose the right approach based on your requirements, team expertise, and deployment environment.

1. HireSquire CLI: Agent-First Integration

CLI Advantages

• Zero setup code: Just install and run
• Built-in polling: --watch flag handles async waiting
• JSON output: Perfect for machine parsing
• File globbing: Automatically process directories of resumes
• Environment variable support: Secure credential management
• Interactive mode: Human-friendly output for testing

CLI Limitations

• Not ideal for web applications
• Limited customization options
• Requires shell execution environment
• Rate limiting handled client-side

# Complete workflow in one command
hiresquire screen \
  --title "Senior Engineer" \
  --description @job_desc.txt \
  --resumes ./resumes/ \
  --watch \
  --json \
  --min-score 80

2. Model Context Protocol (MCP): AI Assistant Native

MCP Advantages

• Native AI integration: Tools appear directly in Claude Desktop
• No code required: Just configure the MCP server
• Structured outputs: Pydantic models for perfect parsing
• Context-aware: AI understands tool capabilities automatically
• Streaming support: Real-time progress updates

MCP Limitations

• Limited to MCP-compatible clients
• Less control over low-level details
• Currently optimized for Claude ecosystem
• Limited webhook support

# Claude Desktop MCP Configuration
{
  "mcpServers": {
    "hiresquire": {
      "command": "npx",
      "args": ["-y", "hiresquire-cli", "mcp"],
      "env": {
        "HIRESQUIRE_API_TOKEN": "your_token"
      }
    }
  }
}

3. REST API: Maximum Flexibility

REST API Advantages

• Complete control: Full access to all platform features
• Webhook support: Real-time event notifications
• Batch operations: Process multiple jobs simultaneously
• Advanced features: Agent keys, credit management, reporting
• Platform agnostic: Works with any programming language
• Enterprise features: SLA guarantees, dedicated support

REST API Limitations

• Requires development time
• Must handle polling or webhooks manually
• More boilerplate code
• Steeper learning curve

Decision Framework

Use this simple decision tree to choose your integration method:

Feature Comparison Matrix

Common Scenarios

Scenario 1: OpenClaw Agent

Recommendation: CLI
OpenClaw and similar agents excel at shell commands. The CLI provides copy-paste ready commands with JSON output perfect for agent parsing.

Scenario 2: HR Team Using Claude

Recommendation: MCP
HR teams working directly in Claude Desktop get native tool access without any coding. They can screen candidates directly in their AI conversations.

Scenario 3: Enterprise ATS Integration

Recommendation: REST API
Building a production integration with your ATS system requires the full flexibility and webhook support of the REST API.

Scenario 4: Startup Hiring Automation

Recommendation: CLI + Zapier
Startups can get up and running in minutes using the CLI for screening and Zapier for automation of notifications and follow-ups.

Migration Path

All three integration methods use the same underlying API, making migration seamless:

1. Start with CLI for testing and validation
2. Move to MCP for daily AI assistant usage
3. Scale to REST API when building production systems

Next Steps

Dive deeper into your chosen integration method:

• CLI Complete Guide - Full CLI reference with examples
• MCP Setup Guide - Configure Claude Desktop integration
• REST API Reference - Complete API documentation
• FAQ - Common integration questions

There's no "best" integration - only the best one for your use case. Start simple with the CLI, then scale up as your needs grow. All three methods are production-grade and supported for long-term use.