Is io.github.djerok/glm-mcp safe to use?

io.github.djerok/glm-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install io.github.djerok/glm-mcp?

io.github.djerok/glm-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.djerok/glm-mcp?

io.github.djerok/glm-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.djerok/glm-mcp actively maintained?

io.github.djerok/glm-mcp is actively maintained — last commit was 12 days ago. It has 2 GitHub stars.

io.github.djerok/glm-mcp

glm-mcp-claude

GLM (Zhipu/Z.ai) as a ~10x cheaper file-editing subagent for AI coding agents.

2 91/wk GitHub npm

No known CVEs

MIT license

Actively maintained

Last commit 12d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

MCPpedia last refreshed this data 13h ago

Edit this pageView history

Other

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "glm": {
      "env": {
        "GLM_API_KEY": "YOUR_ZAI_KEY"
      },
      "args": [
        "-y",
        "glm-mcp"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-djerok-glm-mcp-djerok)](https://mcppedia.org/s/io-github-djerok-glm-mcp-djerok)

Read me

What io.github.djerok/glm-mcp does

GLM (Zhipu / Z.ai) as a ~10x cheaper delegate for your AI coding agent. Your expensive main model — Claude Opus, Copilot's default, or Codex — orchestrates and reviews; GLM does the actual work, billed on cheap GLM tokens. GLM exposes an Anthropic-compatible /v1/messages endpoint, so it drops into anything that already speaks Anthropic. This repo wraps it as an MCP server with four tools, plus one-command installers for Claude Code, GitHub Copilot, and Codex. The same server powers every edition

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'glm-mcp-claude' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

57/100across 5 weighted dimensions

How we score →

0255075100

−43

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked glm-mcp-claude against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.djerok/glm-mcp safe to use?: io.github.djerok/glm-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install io.github.djerok/glm-mcp?: io.github.djerok/glm-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.djerok/glm-mcp?: io.github.djerok/glm-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.djerok/glm-mcp actively maintained?: io.github.djerok/glm-mcp is actively maintained — last commit was 12 days ago. It has 2 GitHub stars.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Other

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "glm": {
      "env": {
        "GLM_API_KEY": "YOUR_ZAI_KEY"
      },
      "args": [
        "-y",
        "glm-mcp"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-djerok-glm-mcp-djerok)](https://mcppedia.org/s/io-github-djerok-glm-mcp-djerok)

Read me

What io.github.djerok/glm-mcp does

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'glm-mcp-claude' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

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

GLM (Zhipu / Z.ai) as a ~10x cheaper delegate for your AI coding agent. Your expensive main model — Claude Opus, Copilot's default, or Codex — orchestrates and reviews; GLM does the actual work, billed on cheap GLM tokens. GLM exposes an Anthropic-compatible /v1/messages endpoint, so it drops into anything that already speaks Anthropic. This repo wraps it as an MCP server with four tools, plus one-command installers for Claude Code, GitHub Copilot, and Codex. The same server powers every edition.

How it works

flowchart TD
    You["You"]
    Main["Main agent (Claude Opus / Copilot / Codex)<br/>orchestrates + reviews"]
    Srv["glm MCP server (stdio)<br/>4 tools"]
    Rt["Router<br/>peak-aware model pick + cost bias"]
    Zai[/"Z.ai Anthropic endpoint<br/>POST /v1/messages"/]
    Loop["glm_agent tool loop<br/>read_file / write_file / edit_file<br/>list_dir / run_bash — on your repo"]
    Led[("usage.jsonl<br/>every GLM call: model + tokens")]

    Repo[("your repo")]

    You --> Main -->|"glm_agent(task, workdir)"| Srv
    Srv --> Rt --> Zai
    Zai -->|"tool calls"| Loop
    Loop -->|"tool results"| Zai
    Loop -->|"reads / writes / runs"| Repo
    Zai --> Led
    Srv -->|"summary + GLM STATS<br/>(model, tokens, est. cost)"| Main
    Main -->|"review · diff · revert"| You

Plain-English walkthrough:

You ask the main agent for work.
The main agent delegates via glm_agent — it passes a goal plus an absolute workdir.
The server's router picks a GLM model (peak-aware) and calls the Z.ai /v1/messages endpoint; the cost bias keeps GLM the default.
GLM runs its own agent loop (read_file / write_file / edit_file / list_dir / run_bash) directly against your repo, then stops with a summary.
The server returns a concise summary + a GLM STATS block (model, tokens, est. cost) to the main agent.
The main agent reviews; every GLM call is also appended to the usage.jsonl ledger.

Token economics. Delegated work bills GLM tokens (~10x cheaper). The main model only pays for orchestration + review. A near-100% GLM share requires the full-GLM launcher ([`claude/gl

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

57/100across 5 weighted dimensions

How we score →

0255075100

−43

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked glm-mcp-claude against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.djerok/glm-mcp safe to use?: io.github.djerok/glm-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install io.github.djerok/glm-mcp?: io.github.djerok/glm-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.djerok/glm-mcp?: io.github.djerok/glm-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.djerok/glm-mcp actively maintained?: io.github.djerok/glm-mcp is actively maintained — last commit was 12 days ago. It has 2 GitHub stars.

Similar servers

Others in other

View all →

Headroom95

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.

62.7k 3

Pi Lean Ctx94

Pi Coding Agent extension (CLI-first) — routes bash/read/grep/find/ls through lean-ctx CLI for strong token savings. Optional MCP bridge can register advanced tools.

3.4k 6

Sigmap94

97% token reduction for AI coding sessions — zero deps, 21 languages, MCP server

606 6

Brigade93

One local source for the MCP servers, tools, and memory your AI coding agents share, synced into each tool's native config with a review gate and a receipt for every change. No daemon, no lock-in.

62 5

MCP Security Weekly

Get CVE alerts and security updates for io.github.djerok/glm-mcp and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?