I ship AI agents in production. The mess is MCP.
A production AI agent developer shared insights into the practical challenges of deploying AI agents, particularly concerning the management of multiple Micro-Cloud Platform (MCP) servers. Key issues include overly verbose tool descriptions that confuse models, the impact of tool order on selection accuracy, and the complexities of OAuth token management when contractors depart. The developer also highlighted significant, often hidden, context costs associated with numerous MCP integrations, which can drastically inflate monthly bills. AI
IMPACT Highlights practical difficulties in deploying AI agents, suggesting a need for better tooling and management practices for complex agent systems.