EvoMCP: Co-evolving MCP agents and training data.

arXiv:2610.41479v1 Announce Type: new Abstract: Supervised fine-tuning of Model Context Protocol (MCP) agents is typically conducted on a static data distribution, which fails to adapt to the student's evolving capabilities and leaves newly exposed weaknesses