Developer Tools stdio

PAL

Created by BeehiveInnovations

Orchestrates multiple AI models to enhance CLI tools for collaborative development, code analysis, and problem-solving.

How to Connect & Install

Select your client or environment below to copy the verified, ready-to-run installation configuration.

1-line autonomous agent setup instruction. Paste into Claude Code, Codex CLI, or Cursor Agent:
Fetch and configure Model Context Protocol (MCP) server PAL from https://www.fastmcp.dev/server/pal

Agents automatically discover, install, and execute the server spec without manual token setup.

Connect via direct Stateless MCP v2 / Streamable HTTP endpoint or JSON-RPC:
https://github.com/BeehiveInnovations/pal-mcp-server

Stateless edge endpoint compliant with MCP 2024-11-05 and v2 draft protocol specs.

Includes server instructions and tool definitions for Claude:
claude mcp add pal -- npx -y pal-mcp-server

Run in terminal to register server in current project or pass --scope user for global availability.

Configures server instructions and tools for OpenAI Codex & ChatGPT Desktop:
[mcp_servers.pal] command = "npx" args = ["-y","pal-mcp-server"]

Applies to ChatGPT Desktop app, Codex CLI, and IDE extension across your Codex host.

Add to Cursor project settings (.cursor/mcp.json) or Cursor Settings > Features > MCP:
{ "mcpServers": { "pal": { "type": "stdio", "command": "npx", "args": [ "-y", "pal-mcp-server" ] } } }

Commit to version control to allow teammates to connect immediately.

Install as an autonomous Agent Skill using the standard skills CLI:
npx skills add https://github.com/BeehiveInnovations/pal-mcp-server

Standard agent skill installer compatible with Claude Code, Cursor, and agy harnesses.

Server Guidance & Instructions OpenAI & Claude Spec Compliant
PAL: Orchestrates multiple AI models to enhance CLI tools for collaborative development, code analysis, and problem-solving. Key capabilities: True Conversation Continuity with context preservation across tools and models; Extended Context Windows by delegating tasks to models with larger token limits

Codex and Claude read this instruction prompt during initialization to orchestrate cross-tool workflows and rate limits.

Top Core Functions
01 Coordinate tasks across multiple providers
02 Preserve context across AI models
03 Bridge external CLI tools together