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pal-mcp-server
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pal-mcp-server

Active·★ 11.8k·Apache-2.0·Updated 2025-12-15
★ Most Popular★ Trending★ Essential

PAL MCP (Provider Abstraction Layer, formerly Zen MCP) is an MCP server that lets the coding CLI you already use, such as Claude Code, Gemini CLI, Codex CLI or Qwen Code, bring other models into the same task. From one prompt you can ask Gemini, OpenAI, Anthropic, Grok, Azure, OpenRouter or local Ollama models for a second opinion, a code review or a consensus decision, while your main CLI stays in control and context carries across tools.

It suits developers who want multi-model workflows without switching tools: a code review by two different models before a commit, a debugging session with systematic root-cause analysis, planning followed by implementation, or a pre-commit check. Its `clink` tool goes further and connects external CLIs as subagents, so Claude Code can spawn an isolated Codex reviewer or Codex can launch a Gemini CLI instance, each with its own role and fresh context.

Getting started: configure API keys for the providers you want to use (or a local Ollama endpoint), add the server to your CLI's MCP configuration following the repository's setup guide, then ask for workflows such as "perform a codereview using gemini pro and o3".

#AI Orchestration#Multi-Model LLM#Developer Tools#CLI Integration#Context Management#Coding
$ Install
$ uvx --from git+https://github.com/BeehiveInnovations/pal-mcp-server.git pal-mcp-server
↗ Visit site★ GitHub
01

Features

01CLI-to-CLI Bridge (clink) for integrating external AI CLIs and subagents.
02Multi-model orchestration to leverage the best AI for each task.
03True conversation continuity maintaining full context across tools and models with context revival.
04Extended context windows by delegating to models with larger token limits.
05Local model support for privacy and cost-free on-device AI.
02

Why choose it

+Multi-model reviews, debugging and consensus from inside the CLI you already use.
+CLI-to-CLI subagents (clink) with isolated context and specialised roles.
+Supports many providers, including local models via Ollama.
+Apache-2.0 licensed.
03

Trade-offs

!The repository has not been updated since December 2025, so newer CLI versions and models may not be fully supported.
!Every extra model call costs money; multi-model reviews on every change add up quickly.
!Managing API keys for several providers adds configuration and security overhead.
04

Compatibility

Claude Code
Native
Verified via docs
Gemini CLI
Supported
Verified via docs
Codex CLI
Supported
Verified via docs
Qwen Code CLI
Supported
Verified via docs
Cursor
Supported
Verified via docs
VS Code
Supported
Verified via docs
05

Quick start

1
$ uvx --from git+https://github.com/BeehiveInnovations/pal-mcp-server.git pal-mcp-server
06

Use cases

↳Performing multi-model professional code reviews with detailed feedback and consensus.
↳Automated planning and implementation of complex features, followed by pre-commit validation.
↳Systematic debugging and root cause analysis with hypothesis tracking.
07

How it compares

≈vs Gemini MCP Tool: a simpler server that lets an assistant call Gemini CLI for large-context analysis; PAL orchestrates many providers and workflows.
≈vs AionUi: AionUi runs multiple CLI agents side by side in a desktop app; PAL brings other models and CLIs into your current session.
≈vs Ruflo: Ruflo orchestrates swarms inside Claude Code and Codex; PAL focuses on cross-model collaboration.
08

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 11.8k
Last commit9mo ago
StatusActive
LicenseApache-2.0
CategoryCode Assistant
Trend (30d)
+0.4k↑ 4.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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