An MCP bridge that enables Claude Code to consult the Kimi AI model in a structured challenge-loop for code review, debugging, and architecture evaluation.
Enables Codex to manage a local Claude Code companion through MCP, implementing a dual-agent workflow where Codex handles reasoning and review while Claude Code performs engineering tasks.
Enables Claude Code and other MCP clients to offload bounded tasks to a local or cloud LLM (LM Studio, Ollama, vLLM, LiteLLM, OpenRouter, DeepSeek, Groq, Cerebras, OpenAI) so files are read and drafted outside the orchestrator's context window, cutting token costs. It also provides a cheap second model for code review, test stubs, commit messages, format conversion, and embeddings.
Enables Claude Code and other MCP clients to delegate bounded tasks such as code review, boilerplate generation, commit messages, and format conversion to a local or cloud OpenAI-compatible LLM. It keeps the main model as architect while cutting token costs by sending files and prompts straight to the second model instead of into the orchestrator's context window.
Enables Claude Code and other MCP clients to offload bounded work — code review, boilerplate, commit messages, format conversion, embeddings — to a local or cloud OpenAI-compatible LLM, cutting token spend by keeping large files out of the orchestrator's context. It also provides a second model for reviewing code and drafting tasks while the main assistant retains planning and QA.