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Pal

The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.

GitHub

安装配置

暂未识别到可直接复制的 MCP 配置，请查看 GitHub README。后台管理员可以补充配置。

README 摘要

# PAL MCP: Many Workflows. One Context. Your AI's PAL – a Provider Abstraction Layer Formerly known as Zen MCP [PAL in action](https://github.com/user-attachments/assets/0d26061e-5f21-4ab1-b7d0-f883ddc2c3da) 👉 **[Watch more examples](#-watch-tools-in-action)** ### Your CLI + Multiple Models = Your AI Dev Team **Use the 🤖 CLI you love:** [Claude Code](https://www.anthropic.com/claude-code) · [Gemini CLI](https://github.com/google-gemini/gemini-cli) · [Codex CLI](https://github.com/openai/codex) · [Qwen Code CLI](https://qwenlm.github.io/qwen-code-docs/) · [Cursor](https://cursor.com) · _and more_ **With multiple models within a single prompt:** Gemini · OpenAI · Anthropic · Grok · Azure · Ollama · OpenRouter · DIAL · On-Device Model --- ## 🆕 Now with CLI-to-CLI Bridge The new **[`clink`](docs/tools/clink.md)** (CLI + Link) tool connects external AI CLIs directly into your workflow: - **Connect external CLIs** like [Gemini CLI](https://github.com/google-gemini/gemini-cli), [Codex CLI](https://github.com/openai/codex), and [Claude Code](https://www.anthropic.com/claude-code) directly into your workflow - **CLI Subagents** - Launch isolated CLI instances from _within_ your current CLI! Claude Code can spawn Codex subagents, Codex can spawn Gemini CLI subagents, etc. Offload heavy tasks (code reviews, bug hunting) to fresh contexts while your main session's context window remains unpolluted. Each subagent returns only final results. - **Context Isolation** - Run separate investigations without polluting your primary workspace - **Role Specialization** - Spawn `planner`, `codereviewer`, or custom role agents with specialized system prompts - **Full CLI Capabilities** - Web search, file inspection, MCP tool access, latest documentation lookups - **Seamless Continuity** - Sub-CLIs participate as first-class members with full conversation context between tools ```bash # Codex spawns Codex subagent for isolated code review in fresh context clink with codex codereviewer to audit auth module for security issues # Subagent reviews in isolation, returns final report without cluttering your context as codex reads each file and walks the directory structure # Consensus from different AI models → Implementation handoff with full context preservation between tools Use consensus with gpt-5 and gemini-pro to decide: dark mode or offline support next Continue with clink gemini - implement the recommended feature # Gemini receives full debate context and starts coding immediately ``` 👉 **[Learn more about clink](docs/tools/clink.md)** --- ## Why PAL MCP? **Why rely on one AI model when you can orchestrate them all?** A Model Context Protocol server that supercharges tools like [Claude Code](https://www.anthropic.com/claude-code), [Codex CLI](https://developers.openai.com/codex/cli), and IDE clients such as [Cursor](https://cursor.com) or the [Claude Dev VS Code extension](https://marketplace.visualstudio.com/items?itemName=Anthropic.claude-vscode). **PAL MCP connects your favorite AI tool to multiple AI models** for enhanced code analysis, problem-solving, and collaborative development. ### True AI Collaboration with Conversation Continuity PAL supports **conversation threading** so your CLI can **discuss ideas with multiple AI models, exchange reasoning, get second opinions, and even run collaborative debates between models** to help you reach deeper insights and better solutions. Your CLI always stays in control but ge...

Pal

安装配置

README 摘要

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