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PAL MCP is an open-source Model Context Protocol (MCP) server designed to act as a powerful middleware layer that connects AI clients and tools—like Claude Code, Codex CLI, Cursor, and IDE plugins—to a broad range of underlying AI models, enabling collaborative multi-model workflows rather than relying on a single model. It lets developers orchestrate interactions across multiple models (including Gemini, OpenAI, Grok, Azure, Ollama, OpenRouter, and custom/self-hosted models), preserving conversation context seamlessly as tasks evolve and substeps run across tools. By supporting conversation threading and context passing, pal-mcp-server helps maintain continuity during complex processes like code reviews, automated planning, implementation, and validation, allowing models to “debate” or weigh in on specific subtasks for better outcomes.
Features
- Multi-model orchestration across Claude, Gemini, OpenAI, Grok, Azure, and local models
- Conversation threading and context continuity across tools
- Extensible provider configuration via environment settings
- Support for CLI tools like Claude Code, Codex CLI, and Cursor
- Plugin-like provider addition for custom or self-hosted models
- Tools for code analysis, planning, and automated workflows
Project Samples
