Build with AI Agents
Integrate Pine Labs Online APIs with AI agents, MCP servers, P3P, and automation frameworks using developer-first AI tools.
Build AI-powered payment workflows, developer assistants, automation systems, and intelligent commerce experiences using Pine Labs Online AI tools, MCP servers, agent frameworks, and the Pine Labs Payments Protocol (P3P).
Pine Labs Online provides AI-ready infrastructure that helps developers integrate payments into:
- AI agents
- LLM-powered workflows
- coding assistants
- automation pipelines
- conversational commerce
- internal operational systems
These tools are designed to simplify payment integration, accelerate development, improve API discoverability, and enable AI systems to interact with Pine Labs Online APIs more effectively.
Explore AI & automation tools
Build AI-powered payment agents
Pine Labs Online enables developers to build intelligent payment agents that can understand user intent, automate payment workflows, and interact with APIs using modern AI frameworks.
Using the Agent Toolkit, teams can integrate Pine Labs Online capabilities with:
- LangChain
- OpenAI SDK
- Vercel AI SDK
- MCP-compatible AI agents
- conversational AI frameworks
Common use cases
- Build AI payment assistants
- Create conversational checkout experiences
- Automate payment orchestration workflows
- Generate payment integration guidance
- Validate checkout implementation steps
- Connect payment APIs with AI frameworks
- Build internal developer support agents
Explore Agent Toolkit
Integrate AI coding assistants using MCP Server
The Pine Labs Online MCP Server helps AI coding assistants and developer tools understand Pine Labs Online APIs using the Model Context Protocol (MCP).
This improves:
- AI-generated integration accuracy
- API context understanding
- checkout implementation guidance
- developer productivity
- code generation workflows
MCP Server capabilities
- AI-assisted API integration
- Payment API code generation
- Checkout implementation guidance
- OpenAPI-aware AI workflows
- Context-aware developer assistance
- Faster API onboarding
Supported AI developer tools
- Claude Desktop
- Cursor
- VS Code AI extensions
- OpenAI-compatible agents
- MCP-enabled IDEs
- AI coding assistants
Enable autonomous payments with P3P
The Pine Labs Payments Protocol (P3P) is an HTTP-native protocol that lets autonomous AI agents discover, negotiate, and execute payments without human intervention.
P3P enables:
- Autonomous agent-to-API payments
- Machine-readable pricing and capability discovery
- 402 Payment Required–based negotiation
- Secure credential exchange for AI agents
- Real-time payment execution in agentic workflows
Common P3P use cases
- Autonomous checkout by AI shopping agents
- Agent-initiated subscription payments
- Machine-to-machine payment orchestration
- AI-driven procurement workflows
- Agentic commerce experiences
Explore P3P
AI-ready developer infrastructure
Pine Labs Online provides developer-first infrastructure designed for AI-native and automation-first ecosystems.
Included capabilities
| Capability | Description |
|---|---|
| MCP Server | AI context-aware API integration |
| OpenAPI Specifications | Structured API discovery for AI tools |
| SDKs | Faster integrations across platforms |
| Webhooks | Real-time event automation |
| CLI Tools | Local testing and workflow execution |
| Agent Toolkit | AI agent development support |
| P3P | HTTP-native protocol for autonomous AI agent payments |
Recommended AI integration journey
Why build AI-powered payment workflows?
AI-powered payment systems help teams:
- accelerate integrations
- reduce manual API implementation effort
- automate operational tasks
- improve developer productivity
- build conversational commerce experiences
- connect payments with AI ecosystems
Pine Labs Online AI tools are designed for:
- developers
- fintech teams
- SaaS platforms
- AI product teams
- internal automation systems
- enterprise payment workflows
Before you begin
Requirements
- Pine Labs Online merchant account
- Client ID and Client Secret
- Sandbox environment access
- Backend server for API calls
- AI framework or automation platform
Recommended knowledge
- REST APIs
- Webhooks
- AI workflows
- MCP concepts
- Node.js or Python (recommended)