GLM Subagent MCP
Enables Claude Code to use GLM (Zhipu) as a cheap, full-capability subagent for file editing, code generation, and bash commands, with automatic routing between Opus and GLM based on task complexity.
README
GLM-as-Subagent for Claude Code β plug & play
π¦ Canonical source: https://github.com/djerok/glm_mcp_claude β created by @djerok. If you found this via a fork, mirror, or an awesome-list, the original lives here. Please β / file issues / open PRs at the source.
Add GLM (Zhipu / Z.ai) to Claude Code as a cheap, full-capability subagent (~10Γ cheaper than Opus), with automatic per-task routing between Opus and GLM. Your main agent stays on Opus; GLM does the well-specified, cost-sensitive work β and can read, write, edit, and run your files directly. One command to install.
β Works in the Claude Code app on a subscription-based Claude. Your main agent runs on the Claude you already pay for through the Claude Code app (Pro / Max / Team subscription) β no separate pay-per-token Anthropic API key required. Only GLM needs a (cheap) Z.ai key. Opus orchestrates on your subscription; GLM does the heavy lifting for a fraction of the cost.

<sub>β The glm subagent (orchestrated by Haiku 4.5, the cheap layer) reading the repo and offloading the heavy work to GLM via the MCP tools β the Opus β Haiku β GLM hybrid in action.</sub>
# no clone needed β run straight from GitHub:
npx github:djerok/glm_mcp_claude --key YOUR_ZAI_API_KEY
# or clone and run the installer:
node install.mjs --key YOUR_ZAI_API_KEY
β¦then restart Claude Code. That's it. (Details below.)
π Your key must be from the Z.ai / Zhipu GLM Coding Plan. Get one at https://z.ai β subscribe to the GLM Coding Plan, then create an API key. A generic / free key without coding-plan access will not work for the coding models used here.
What you get
glmsubagent β a full-tool subagent (read/write/edit/bash) powered by GLM.glm_agenttool β GLM as a real file-editing agent with built-in oversight (diff, dry-run, git revert).glm_delegate/glm_recommend/glm_statusβ draft-only delegation, a free routing advisor, and a health check.- Auto-delegation hook β when you spawn a subagent, it injects a GLM-vs-Opus verdict so cheap work goes to GLM automatically. Zero token cost when you're not spawning subagents.
- If you explicitly name an agent ("use opus", "use the sonnet agent", "use glm"), the hook stays silent and just routes where you asked.
Prerequisites
- The Claude Code app (desktop or CLI), signed in with a subscription-based Claude
(Pro / Max / Team). Your main agent uses this β no Anthropic API key needed. The
claudeCLI should be on your PATH (claude --version). - Node.js β₯ 18 (
node -v) - A Z.ai / Zhipu API key with GLM Coding Plan access β get one at https://z.ai. β οΈ It must be on the GLM Coding Plan (the coding-plan subscription); a generic or free key won't have access to the coding models this uses. This is the only paid key required, and GLM is ~10Γ cheaper than Opus.
- Git (optional, but enables
glm_agent's one-command revert)
Install (recommended: global, all projects)
# from this folder:
node install.mjs --key YOUR_ZAI_API_KEY
The installer:
- copies the server to
~/.claude/glm-mcp/and runsnpm install, - writes your key into
~/.claude/glm-mcp/.env, - installs the
glmsubagent (~/.claude/agents/glm.md) and the hook (~/.claude/hooks/), - wires the hook into
~/.claude/settings.json(backs it up first), - adds a short delegation policy to
~/.claude/CLAUDE.md, - registers the MCP server with
claude mcp add glm -s user.
Then restart Claude Code and run glm_status β you should see "api_key_loaded": true.
Options:
--no-register(skip the CLI step),--skip-npm,--claude-dir PATH(custom config dir). Re-running is safe (idempotent). No key on the command line? Runnode install.mjs, then edit~/.claude/glm-mcp/.envand setGLM_API_KEY=....
Per-project instead of global
Don't want it everywhere? Skip the installer. Copy glm-mcp/ into your project, cd glm-mcp && npm install,
copy .mcp.json.example β .mcp.json in the project root, set the key, and (optionally) copy
agents/glm.md to .claude/agents/ and the hook into .claude/ + .claude/settings.json.
How it works (the short version)
You ask for something
β Opus orchestrates
β wants to delegate a chunk β spawns a subagent
β [hook fires] "[GLM router] GLM-suitable repo task β use glm_agent (dry_run first)"
(or "keep on Opus" for hard/sensitive work)
β Opus runs glm_agent (GLM edits the files, runs tests) β or keeps it on Opus
β you get a diff + action log + a one-command revert
The routing rules live in glm-mcp/src/router.js and the hook β not in always-on context β
so they cost nothing until a subagent is actually spawned.
Routing in one line: GLM is the default (it's ~10Γ cheaper); Opus is the exception for work where being wrong is expensive β subtle debugging, architecture, large refactors, security, tool-heavy dependent loops, huge context, vision, or anything you mark sensitive.
The tools
| Tool | Cost | What it does |
|---|---|---|
glm_recommend |
free (local) | GLM-or-Opus decision + model pick + reasons. |
glm_status |
free (local) | Peak window, active model, key/config health. |
glm_delegate |
GLM tokens | Text in β text out. GLM drafts; you place it. |
glm_agent |
GLM tokens | GLM works your repo directly (read/write/edit/bash). Returns a diff + action log + git revert; supports dry_run (propose, don't write). |
Example: directly calling the GLM agent
A real run β asking GLM (via glm_agent) to write a file end-to-end on disk:

Prompt: "Using the GLM agent
glm_agent, write a 2000-word essay in Shakespearean format about the usefulness of an umbrella, into my Desktop."
GLM did it itself β created the file directly, no round-tripping the content through the main agent:
- Output:
Umbrella-Essay-Shakespeare.mdβ ~2,260 words of Early Modern English (thee/thou/thy, doth/hath) with two blank-verse interludes - Work: 18 tool-loop iterations; one file created, nothing existing touched
- Cost: ~$0.064 β a fraction of running the same task on Opus
That's the point: the orchestrator stays on Opus while glm_agent does the heavy, file-touching work for cents.
Oversight (how you stay in control of glm_agent)
- Entry: you/Opus choose when to call it and with which
workdir. dry_run: true: GLM proposes a full diff and writes nothing β approve, then apply.- After a real run: you get the unified diff, an action log, and a one-command
git revert (
git checkout <baseline> -- .).
Note: file/bash ops inside glm_agent run in the MCP server process (not gated per-edit) and are
scoped to the workdir you pass. That's intentional (max autonomy) β point it only at repos you're
fine letting it modify.
Configuration (~/.claude/glm-mcp/.env)
| Var | Default | Meaning |
|---|---|---|
GLM_API_KEY |
β | Your Z.ai key. Required. |
GLM_BASE_URL |
https://api.z.ai/api/anthropic |
Anthropic-compatible endpoint. |
GLM_COST_BIAS |
1.5 |
How hard to favor GLM (it's ~10Γ cheaper). Higher = more GLM; 0 = decide on capability only. |
GLM_CAP |
off |
Output-token cap. Off by default = generous (up to 131072 per call). Set on to enforce GLM_MAX_TOKENS and rein in spend. |
GLM_MAX_TOKENS |
32768 |
The hard per-call limit applied only when GLM_CAP=on. (max_tokens is a ceiling, not a target β you pay for actual output.) |
GLM_MAX_TOKENS_CEILING |
131072 |
The generous default used when the cap is off. |
GLM_MAX_CONCURRENT |
1 |
GLM caps in-flight requests; keep at 1. |
GLM_OFFPEAK_MODEL / GLM_PEAK_MODEL |
glm-5.2 / glm-5.2 |
Model(s) for auto. Each can be a comma-separated list (e.g. glm-5.2,glm-5-turbo) and the router auto-picks β most capable for hard tasks, cheapest for easy ones. Peak rule: when auto lands on a glm-5.x model (3Γ surcharge) the router routes less work to GLM at peak; if you include a no-surcharge model (e.g. GLM_PEAK_MODEL=glm-5.2,glm-4.7) it's preferred at peak and GLM stays fine to use. |
GLM_PEAK_START_CN / GLM_PEAK_END_CN |
14 / 18 |
Peak window (China hour, UTC+8). |
GLM_AGENT_MAX_ITERS |
30 |
Max tool-loop turns for glm_agent. |
Full list with comments: glm-mcp/.env.example.
Uninstall
node uninstall.mjs # remove agent, hook, settings entry, MCP registration
node uninstall.mjs --purge # also delete ~/.claude/glm-mcp (and its .env)
Security
- Never commit/share your
.envor a.mcp.jsoncontaining the key..gitignoreexcludes them. - GLM routes through servers in China β don't send secrets/regulated code you wouldn't send to a
third-party API. (Routing keeps
sensitive-flagged work on Opus, but you decide what to delegate.)
Troubleshooting
| Symptom | Fix |
|---|---|
glm_status missing / tools absent |
Restart Claude Code; claude mcp get glm to confirm registration. |
api_key_loaded: false |
Set GLM_API_KEY in ~/.claude/glm-mcp/.env. |
| Server fails to start | cd ~/.claude/glm-mcp && npm run smoke to see the real error. |
Too much concurrency |
Expected under load; it auto-retries. Don't fan out parallel GLM calls. |
| Hook not firing | Check ~/.claude/settings.json has a PreToolUse Task matcher pointing at glm_subagent_router.mjs. |
More background and the research behind the routing rules: see docs/.
Contributing
PRs and issues welcome β see CONTRIBUTING.md. Good first areas: routing
rules (glm-mcp/src/router.js + the hook), provider adapters, and docs. Please never commit
secrets/.env.
License
<sub>Original / canonical repository: https://github.com/djerok/glm_mcp_claude. If you fork, mirror, or redistribute this project, please keep a link back to the source so others can find updates, file issues, and contribute. Built by @djerok.</sub>
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