mcpField
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GLM MCP

GLM MCP

Local
github.com/djerokAI & Agents7Updated 15w ago
Repository

About GLM MCP

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

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "djerok-glm": {
      "command": "npx",
      "args": [
        "-y",
        "glm-mcp"
      ],
      "env": {
        "GLM_API_KEY": "<GLM_API_KEY>"
      }
    }
  }
}
Run commandnpx -y glm-mcp
Environment variables to set
GLM_API_KEYSecretZ.ai / Zhipu GLM Coding Plan API key. Required for GLM calls; the server boots and answers MCP introspection without it.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmglm-mcp1.3.0

Tools

3

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
taskstringYesThe coding task for GLM to carry out end-to-end in the repo.
modelstringNoModel id or 'auto' (default, peak-aware).
formatenumNoconcise (default: summary+stats+changed files) or detailed (adds full diff). dry_run always shows the diff.concise | detailed
contextstringNoOptional extra context/constraints (GLM can also read files itself).
dry_runbooleanNoIf true, GLM proposes a diff and writes nothing (preview before applying). Default false.
workdirstringNoAbsolute path to the project root GLM should operate in. Defaults to the server's cwd; always pass it explicitly.
thinkingbooleanNoEnable GLM reasoning mode for harder tasks. Default false.
max_tokensanyNo'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.)

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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