glm-mcp
v1.3.0
Published
MCP server that delegates self-contained subtasks to the GLM (Zhipu/Z.ai) Anthropic-compatible API, so Claude Code can use GLM as a cheap, peak-aware subagent. Runs standalone via npx glm-mcp for any MCP client.
Maintainers
djerokReadme
glm-mcp
GLM (Zhipu / Z.ai) as a cheap delegate for any AI coding agent, exposed as an
MCP (Model Context Protocol) server over stdio.
This is the standalone server behind glm-mcp-claude
and glm-mcp-copilot — usable by any MCP client
(Claude Desktop, Cursor, Windsurf, Glama, …).
Quickstart (any MCP client)
{
"mcpServers": {
"glm": {
"command": "npx",
"args": ["-y", "glm-mcp"],
"env": { "GLM_API_KEY": "YOUR_ZAI_KEY" }
}
}
}Tools
glm_agent— run GLM as a file-accessing coding agent (read/write/edit/run) on GLM tokens.glm_delegate— text-in/text-out subtask on GLM (no file access).glm_recommend— free advisory: GLM vs Opus, which model, and why.glm_status— free status: peak window, model picks, usage ledger, config health.
Config
The server boots and answers MCP introspection without an API key, but every GLM call needs
GLM_API_KEY (your Z.ai / Zhipu GLM Coding Plan key — https://z.ai). See .env.example
for all tuning knobs (model picks, peak window, token cap, cost bias, …).
Full docs
Repo + installers + design notes: https://github.com/djerok/glm-mcp
License
MIT © djerok