pal-mcp-server
PAL MCP provides multi-model collaboration capabilities for AI, supporting various CLI tools.
- Type
- MCP
- Transport
- stdio
- Open source
- Yes
- GitHub Stars
- ★ 11.6k
- Source
- mcp-github
Overview
PAL MCP is a Model Context Protocol server that connects your favorite AI tools (such as Claude Code, Codex CLI, and IDE clients) to multiple AI models. With PAL MCP, AI can collaborate across multiple models to perform code analysis, problem solving, and collaborative development. PAL MCP supports session continuity, enabling your CLI to discuss ideas, exchange reasoning, seek second opinions, and even run collaborative debates between models. Ideal for developers requiring multi-model coordination to handle complex tasks.
Capabilities
- ▪Multi-model collaboration
- ▪Session continuity
- ▪Context isolation
- ▪Role specialization
- ▪Full CLI functionality
- ▪Seamless continuity
Use cases
Setup
Refer to the official documentation for installation and configuration: https://github.com/BeehiveInnovations/pal-mcp-server
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
Which AI models does PAL MCP support?
Supports multiple models including Gemini, OpenAI, Anthropic, Grok, Azure, Ollama, OpenRouter, and more.
How to use the clink tool?
The clink tool can connect external AI CLI and launch sub-agents; see the documentation for details.
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