🔗PAL MCP Server
BeehiveInnovations/pal-mcp-server
The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.
⭐ Very popular: 12k stars, gaining about 13 a week
View on GitHub ↗repo profile
momentum
durability
since we covered it
why it's a big deal
- Conversation continuity across models means context flows from one AI to another without manual re-prompting.
- Model-specific strengths become composable: use Gemini’s 1M token window for large codebases, O3 for reasoning, Ollama for privacy.
- Guided workflows enforce systematic code reviews, debugging phases, and pre-commit validations before you ship.
under the hood
- Apache 2.0 licensed, Python-based, installs via uv or git clone with auto-config for multiple CLIs.
- Supports extended thinking modes and automatically bypasses MCP’s 25K token limit for large prompts.
- Provider activation is credential-based, just add API keys in.env and the provider lights up.
our take from PR#23, 2025-12-10
star history
- PR#23 10k 2025-12-10
- now 12k + 2k since first covered
curve is sampled from GitHub's star history, plus our own daily readings since we covered it; the dashed stretch is before we first covered it, the solid line since. figures at coverage are the numbers we printed then (approx.), current count is live.
understory
Better known than its recent output, coasting a little on attention.
- output, commits & releases
- clout, star velocity
output = commits & releases; clout = star velocity, both 0 to 100 monthly indices; the gap where output runs above clout is the understory. The understory →
covered in
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Multi-model orchestration layer for Claude Code, Codex CLI, and Gemini CLI
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