ai offers a unified platform that routes, policies, and monitors AI agent calls between MCP servers and client tools such as VSCode, Cursor, and Co‑pilot. 2% success rate with an average 142 ms response time.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying AI agents across multiple developer tools face challenges in routing calls, enforcing access policies, and monitoring performance, cost, and security. Without a centralized control layer, MCP (Multi-Client Platform) teams must manage server reliability manually while agent teams struggle to ensure consistent behavior across heterogeneous client environments.
Solution
Palma.ai provides a unified platform that sits between MCP servers and client tools such as VSCode, Cursor, and Co‑pilot. It handles request routing, applies configurable policies, and offers real‑time observability for each tool call. By grouping tools by capability and tracking metrics for cost, security, and performance, the platform lets MCP teams concentrate on server design while agent teams focus on building robust AI agents. The service delivers a 99.2 % success rate with an average response time of 142 ms, enabling scalable, controlled expansion of AI agent usage.
Target Audience
Primary customers are MCP server teams responsible for infrastructure reliability and AI agent development teams that need a controlled, observable environment for deploying agents across developer tools.
Features
- Central routing layer that directs AI agent calls from any MCP‑enabled client to the appropriate server
- Policy engine that enforces access controls, usage conditions, and cost limits per tool or capability group
- End‑to‑end observability dashboard tracking latency, success rates, and security events for every request
- Automatic grouping of client tools by functional capability to simplify governance and monitoring
- Integration adapters for popular development environments (VSCode, Cursor, Co‑pilot) with minimal configuration
- Scalable governance model that defines who can access which systems and under what conditions, preventing chaotic growth
- Real‑time cost accounting for each tool call, supporting budget‑aware AI agent deployment