PAL (Multi-Provider AI)
Provider Abstraction Layer (PAL) orchestrates multiple AI models including Claude, Gemini, GPT, and others for collaborative code analysis, debugging, and development workflows. Built by Beehive Innovations, it offers 15+ specialized tools for code review, planning, consensus building, and workflow automation with intelligent model selection and multi-step workflows with forced pauses for thorough investigation. Features automatic model ranking, conversation memory, file processing with security controls, image analysis capabilities, and integration with CLI tools like Claude Code, Codex, and Gemini CLI for seamless development workflows. Supports extended reasoning modes and custom endpoints for maximum flexibility.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/yiwenlu66/mu-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve PAL (Multi-Provider AI) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.