Kimi Code MCP Server

Example Use Cases

• 1

  Perform large-scale codebase analysis with minimal token cost.

• 2

  Delegate bulk code reading to a specialized AI while focusing on reasoning and precise edits.

• 3

  Continuous code auditing, security reviews, and dependency mapping with long context support.

Description

This MCP server integrates the Kimi Code AI agent, powered by the Kimi K2.5 model with 256K token context, with Claude Code. It allows Claude to delegate heavy codebase reading and analysis tasks to Kimi, significantly reducing token costs while maintaining high-quality code understanding and review. The server supports deep codebase analysis, session management, and multi-tool orchestration, enabling efficient AI pair review workflows and continuous code auditing.