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Three Agent Infrastructure Tools Just Dropped

AgentCard gives AI agents Visa cards, Login Machine handles website auth flows, and FlightSeatMap brings flight data to conversations.

March 24, 2026

Three Agent Infrastructure Tools Just Dropped

The agent economy just got more practical with three infrastructure tools that solve real gaps: AgentCard provides prepaid Visa cards specifically for AI agents, Login Machine uses AI vision to handle website authentication, and FlightSeatMap MCP Server gives agents access to interactive flight data.

AgentCard: Payments for Agents

AgentCard creates prepaid virtual Visa cards that AI agents can actually use. Create single-use cards in seconds, fund them with specific amounts, and let your agents make purchases anywhere Visa is accepted. It includes human approval workflows, so you're not giving agents unlimited spending power.

This solves the fundamental problem of agents needing to interact with the real economy — most services require payment, but agents can't handle traditional payment flows.

Login Machine: AI Vision for Auth

Login Machine automates the tedious part of web scraping and agent workflows — getting past login screens. It takes screenshots, analyzes them with LLMs, and performs the right actions to get through authentication flows.

The clever part: credentials flow directly to the browser without exposing them to the AI models. It's the missing piece for agents that need to access protected websites.

FlightSeatMap: Specialized Data Access

FlightSeatMap MCP Server brings interactive flight seat maps directly into AI conversations. Look up any flight's seating layout, find the best seats based on preferences, and view clickable visual seat maps with real-time availability.

This represents the kind of specialized data access agents need to be truly useful — not just general knowledge, but real-time, structured information about specific domains.

The Pattern

Each tool solves a specific friction point in the growing agent ecosystem: payments, authentication, and specialized data access. As agents become more capable, they need infrastructure that assumes AI as a first-class user, not just humans with AI assistance.

These aren't flashy demos — they're the unglamorous infrastructure that makes autonomous agents actually work in practice.