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在AI Agent和MCP（Model Context Protocol）生态快速发展的今天，越来越多优秀的MCP工具涌现出来。今天为大家推荐一个值得关注的项目——pal-mcp-server。
项目简介：The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.
技术信息：主要语言：Python | GitHub Stars：11,529
📖 项目详情
The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.
该项目主要使用Python开发。
以下是项目原始介绍（英文）：
PAL MCP: Many Workflows. One Context.
Your AI’s PAL – a Provider Abstraction Layer
Your CLI + Multiple Models = Your AI Dev Team
Use the 🤖 CLI you love:
Claude Code · Gemini CLI · Codex CLI · Qwen Code CLI · Cursor · _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 (CLI + Link) tool connects external AI CLIs directly into your workflow:
• Connect external CLIs like Gemini CLI, Codex CLI, and 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
# 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 immediatelyWhy 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, Codex CLI, and IDE clients such
as Cursor or the [Claude Dev
…(更多内容请访问项目主页)
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