glm-mcp — run GLM as a cheap delegate for your AI coding agent

Use the GLM model (Zhipu / Z.ai) as a ~10× cheaper delegate inside your AI coding tool. Two editions, the same GLM MCP server underneath — pick your editor:

<p align="center"> <a href="claude/"><img src="https://img.shields.io/badge/▶_Claude_Code-glm--mcp--claude-d97757?style=for-the-badge&logo=anthropic&logoColor=white" alt="Claude Code edition"></a>    <a href="copilot/"><img src="https://img.shields.io/badge/▶_GitHub_Copilot-glm--mcp--copilot-24292e?style=for-the-badge&logo=githubcopilot&logoColor=white" alt="GitHub Copilot edition"></a> </p>

<p align="center"> <a href="https://www.npmjs.com/package/glm-mcp-claude"><img src="https://img.shields.io/npm/v/glm-mcp-claude?label=glm-mcp-claude&color=cb3837&logo=npm" alt="glm-mcp-claude"></a> <a href="https://www.npmjs.com/package/glm-mcp-copilot"><img src="https://img.shields.io/npm/v/glm-mcp-copilot?label=glm-mcp-copilot&color=cb3837&logo=npm" alt="glm-mcp-copilot"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="MIT"></a> </p>

Pick your editor

	🟠 Claude Code → claude/	⚫ GitHub Copilot (VS Code) → copilot/
npm package	glm-mcp-claude	glm-mcp-copilot
Install	npx glm-mcp-claude --key YOUR_ZAI_KEY	npx glm-mcp-copilot --key YOUR_ZAI_KEY
Integration	MCP server + full-tool glm subagent + auto-delegation hook + glm-code full-GLM launcher	MCP server in agent mode + GLM custom agent (subagent) + PreToolUse auto-routing hook + .instructions.md delegation policy
Tools	glm_agent · glm_delegate · glm_recommend · glm_status	same
Docs	claude/README.md	copilot/README.md

Both editions now share the same primitives — MCP tools + a GLM subagent + a PreToolUse auto-routing hook. (Copilot's hook fires on all tool calls and filters internally, since VS Code ignores hook matchers; only Claude's standalone glm-code full-GLM launcher has no Copilot analog.) Everything downstream (GLM agent loop, peak-aware routing, cost bias, token cap, usage ledger, dry-run oversight) is the same server, so behavior is identical once a tool runs.

Global vs per-project

• Claude Code installs globally by default (user-scoped MCP server + ~/.claude agent/hook) — works in every project.
• GitHub Copilot — add --global to configure every workspace at once (writes VS Code's user mcp.json + settings.json); omit it to set up just the current project:

  npx glm-mcp-copilot --global --key YOUR_ZAI_KEY
  

What it does (both editions)

• Offloads well-specified coding work to GLM — glm_agent lets GLM read/write/edit/run your repo directly, on GLM tokens (~10× cheaper). Your main model orchestrates + verifies.
• Peak-aware model picks, a cost bias that keeps GLM the default, a token cap toggle, a usage ledger (proof of GLM tokens), and dry-run oversight (preview a diff before applying).

Requirements

• A Z.ai / Zhipu GLM Coding Plan API key — https://z.ai (the only paid key needed).
• Node.js ≥ 18, plus the editor (Claude Code app, or VS Code + Copilot with agent mode).

License

MIT © djerok · Canonical repo: https://github.com/djerok/glm-mcp