GLM MCP
NPM · GLM-MCP · SCANNED AUG 3
GLM (Zhipu/Z.ai) as a ~10x cheaper file-editing subagent for AI coding agents.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 20 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability54
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 675 tokens (~225/item across 3 items; 3 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · glm-mcp
claude mcp add djerok-glm-mcp -- npx -y glm-mcp
codex mcp add djerok-glm-mcp -- npx -y glm-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"djerok-glm-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"glm-mcp"
],
"enabled": true
}
}
} openclaw mcp add djerok-glm-mcp --command npx --arg -y --arg glm-mcp
mcp_servers:
djerok-glm-mcp:
command: "npx"
args: ["-y", "glm-mcp"] {
"mcpServers": {
"djerok-glm-mcp": {
"command": "npx",
"args": [
"-y",
"glm-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 2 Aug 26 +37
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
- Capabilities: pass → unverified ▼ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Maintenance: unverified → pass ▲ functional
- Schema quality: unverified → good ▲ functional
- Licence: MIT functional
- 1 Aug 26 +5
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- MCP protocol: unverified → pass ▲ functional
- 31 Jul 26 −24
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Jul 26 43
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 95 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
glm_agent Run GLM as a file-accessing agent ~330
Run GLM as a real coding agent with its OWN file tools (read/write/edit/list/bash); it works your repo end-to-end on GLM tokens (~10x cheaper than Opus). Prefer this over doing repo work yourself; it also handles text-only subtasks (give it a task with no file edits). Pass task + absolute workdir. Returns a concise summary+stats (use dry_run to preview a diff first). Not for sensitive, huge-context, or heavy dependent-tool-loop work.
| Name | Type | Req | Description |
|---|---|---|---|
| context | string | — | Optional extra context/constraints (GLM can also read files itself). |
| dry_run | boolean | — | If true, GLM proposes a diff and writes nothing (preview before applying). Default false. |
| format | string | — | concise (default: summary+stats+changed files) or detailed (adds full diff). dry_run always shows the diff. |
| max_tokens | — | — | 'auto' (default): uncapped/generous per turn — you (the orchestrating agent) decide. Pass a number (256–131072) to cap each turn. (GLM_CAP=on enforces a hard limit regardless.) |
| model | string | — | Model id or 'auto' (default, peak-aware). |
| task | string | yes | The coding task for GLM to carry out end-to-end in the repo. |
| thinking | boolean | — | Enable GLM reasoning mode for harder tasks. Default false. |
| workdir | string | — | Absolute path to the project root GLM should operate in. Defaults to the server's cwd; always pass it explicitly. |
No output schema declared.
No examples provided.
glm_recommend Recommend GLM vs Opus for a task ~306
Free local advisory (no GLM call): given a task profile, returns GLM-vs-Opus, model, confidence, and reasons. Call when unsure which engine to use.
| Name | Type | Req | Description |
|---|---|---|---|
| chinese | boolean | — | True if Chinese or Chinese-English bilingual (GLM strength, +1). |
| complexity | string | — | Default 'medium'. |
| input_tokens | integer | — | Approx context size needed. >128K forces Opus (GLM degrades past ~100K). |
| latency_sensitive | boolean | — | True if a tight interactive loop (forces Opus). |
| long_horizon | boolean | — | True if many sequential steps / multi-hour autonomy. |
| needs_parallel | boolean | — | True if it needs several concurrent agents (forces Opus). |
| sensitive | boolean | — | True if proprietary/security-critical (forces Opus). |
| steps | integer | — | Approx number of dependent sequential steps. >20 forces Opus (goal drift). |
| task_type | string | — | Closest task category. Default 'general'. |
| tool_pattern | string | — | Tool-use shape: single one-shot call / short independent fanout (GLM-ok) vs heavy dependent agentic loop (forces Opus). |
| unfamiliar_api | boolean | — | True if it uses a niche/post-cutoff/internal API GLM can't know (-2; paste docs or use Opus). |
| vision | boolean | — | True if input includes images/screenshots/GUI/computer-use (forces Opus). |
No output schema declared.
No examples provided.
glm_status GLM status & config ~39
Free local status: peak window, active model, GLM usage ledger (proof of GLM tokens spent), and config health. No GLM call.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.