PAL
PAL MCP is a Model Context Protocol server that functions as a Provider Abstraction Layer, enabling users to orchestrate multiple AI models and CLI tools within a single workflow and context window. It provides tools like `clink` for connecting external AI CLIs (Claude Code, Gemini CLI, Codex CLI, etc.) directly into workflows, launching isolated subagents for specialized tasks, and maintaining seamless context continuity across different models and providers. The server solves the problem of context fragmentation and model switching inefficiency by unifying diverse AI tools and models into a cohesive development environment.
- GitHub stars
- 11.5K
- tools
- 16
- last updated
- Feb 15, 2026
Tools
16 toolsPublic tool metadata for what this MCP can expose to an agent.
clinkBridge requests to external AI CLIs (Gemini planner, codereviewer, etc.)
Bridge requests to external AI CLIs (Gemini planner, codereviewer, etc.)
No parameter schema in public metadata yet.
chatBrainstorm ideas, get second opinions, validate approaches.
Brainstorm ideas, get second opinions, validate approaches.
No parameter schema in public metadata yet.
thinkdeepExtended reasoning, edge case analysis, alternative perspectives
Extended reasoning, edge case analysis, alternative perspectives
No parameter schema in public metadata yet.
plannerBreak down complex projects into structured, actionable plans
Break down complex projects into structured, actionable plans
No parameter schema in public metadata yet.
consensusGet expert opinions from multiple AI models with stance steering
Get expert opinions from multiple AI models with stance steering
No parameter schema in public metadata yet.
debugSystematic investigation and root cause analysis
Systematic investigation and root cause analysis
No parameter schema in public metadata yet.
precommitValidate changes before committing, prevent regressions
Validate changes before committing, prevent regressions
No parameter schema in public metadata yet.
codereviewProfessional reviews with severity levels and actionable feedback
Professional reviews with severity levels and actionable feedback
No parameter schema in public metadata yet.
analyzeUnderstand architecture, patterns, dependencies across entire codebases
Understand architecture, patterns, dependencies across entire codebases
No parameter schema in public metadata yet.
refactorIntelligent code refactoring with decomposition focus
Intelligent code refactoring with decomposition focus
No parameter schema in public metadata yet.
testgenComprehensive test generation with edge cases
Comprehensive test generation with edge cases
No parameter schema in public metadata yet.
secauditSecurity audits with OWASP Top 10 analysis
Security audits with OWASP Top 10 analysis
No parameter schema in public metadata yet.
docgenGenerate documentation with complexity analysis
Generate documentation with complexity analysis
No parameter schema in public metadata yet.
apilookupForces current-year API/SDK documentation lookups in a sub-process
Forces current-year API/SDK documentation lookups in a sub-process
No parameter schema in public metadata yet.
challengePrevent "You're absolutely right!" responses with critical analysis
Prevent "You're absolutely right!" responses with critical analysis
No parameter schema in public metadata yet.
tracerStatic analysis prompts for call-flow mapping
Static analysis prompts for call-flow mapping
No parameter schema in public metadata yet.
Sponsors
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PAL MCP: Many Workflows. One Context.
Your AI's PAL – a Provider Abstraction Layer
Formerly known as Zen MCP
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:
Details
- Repository
- github.com/beehiveinnovations/pal-mcp-server
- Categories
- AI & LLM Tools, Cloud & Infrastructure
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