Palma Review 2026

Palma is an MCP governance platform that helps enterprises control, observe, and secure AI agent access to core systems.

Palma is a specialized infrastructure product for companies that want AI agents to reach internal systems without giving every agent direct, unmanaged access. The company positions itself as a control layer in front of MCP servers and enterprise tools. That is a narrower pitch than a general-purpose agent builder, but it addresses a real operational problem: once multiple teams start connecting agents to CRMs, databases, ticketing systems, and internal APIs, access control and observability become just as important as model quality. Palma is built for that phase.

The clearest public claim on Palma's site is that it provides “the single layer that unlocks MCP at scale.” In practice, that means central routing, role-based access, policy enforcement, and tool-call tracking across MCP-enabled clients and autonomous agents. The homepage also exposes concrete operational metrics in its marketing copy, including 1,247 MCP calls in a day, 99.2% success rate, 142 ms average response time, and 3 active servers in the example dashboard. Those numbers are obviously illustrative rather than a guarantee for every customer, but they tell you what the product wants to optimize: stable agent access to real systems with measurable performance and cost visibility.