Merge pull request #8985 from djerok/add-glm-mcp-claude

Add djerok/glm-mcp to Coding Agents
2026-07-26 00:51:46 +00:00 · 2026-07-22 13:07:48 +02:00
parent c7b68aed0e 29ee0d2194
commit 9081f8b817
1 changed files with 1 additions and 0 deletions
@@ -622,6 +622,7 @@ Full coding agents that enable LLMs to read, edit, and execute code and solve ge
 - [plori-ai/plori](https://github.com/plori-ai/plori) [![plori-ai/plori MCP server](https://glama.ai/mcp/servers/plori-ai/plori/badges/score.svg)](https://glama.ai/mcp/servers/plori-ai/plori) 🎖️ 🏎️ ☁️ - Give your AI agent its own cloud computer. Create and drive hosted plori agents (persistent disk, real tools, memory that survives between sessions) over a remote MCP server: invoke an agent and read its reply, manage the human-in-the-loop queue, and schedule deferred runs. OAuth 2.1 sign-in or API key.
 - [preflight-dev/preflight](https://github.com/preflight-dev/preflight) 📇 🏠 🍎 🪟 🐧 - 24-tool MCP server for Claude Code that catches vague prompts before they waste tokens. Includes 12-category prompt scorecards, session history search with LanceDB vectors, cross-service contract awareness, correction pattern learning, and cost estimation.
 - [PsChina/deepseek-as-subagent](https://github.com/PsChina/deepseek-as-subagent) [![PsChina/deepseek-as-subagent MCP server](https://glama.ai/mcp/servers/PsChina/deepseek-as-subagent/badges/score.svg)](https://glama.ai/mcp/servers/PsChina/deepseek-as-subagent) 🐍 🏠 🍎 🪟 🐧 - Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI. DeepSeek gets its own 7-tool agent loop (Read/Write/Edit/Bash/Glob/Grep/NotebookEdit) in a sandboxed workspace, not just a single LLM call. Includes token-based command sandbox, pre-flight web-search pattern, and cross-platform installer.
+- [djerok/glm-mcp](https://github.com/djerok/glm-mcp) [![djerok/glm-mcp MCP server](https://glama.ai/mcp/servers/djerok/glm-mcp/badges/score.svg)](https://glama.ai/mcp/servers/djerok/glm-mcp) 📇 🏠 🍎 🪟 🐧 - Run GLM (Zhipu/Z.ai) as a real sub-agent inside Claude Code or GitHub Copilot. GLM gets its own agent loop (read/write/edit/run) on your repo — not a single LLM call — with peak-aware Opus-vs-GLM routing, diff/dry-run/git-revert oversight, and a usage ledger. ~10x cheaper than Opus. Requires a Z.ai GLM Coding Plan key.
 - [religa/multi-mcp](https://github.com/religa/multi_mcp) 🐍 🍎 🪟 🐧 - Parallel multi-model code review, security analysis, and AI debate with ChatGPT, Claude, and Gemini. Orchestrates multiple LLMs for compare, consensus, and OWASP Top 10 security checks.
 - [rinadelph/Agent-MCP](https://github.com/rinadelph/Agent-MCP) 🐍 🏠 - A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities.
 - [sena-labs/oz-mcp-server](https://github.com/sena-labs/OzBridge) [![sena-labs/OzBridge MCP server](https://glama.ai/mcp/servers/sena-labs/OzBridge/badges/score.svg)](https://glama.ai/mcp/servers/sena-labs/OzBridge) 📇 🏠 🍎 🪟 🐧 - Bridges Warp's Oz coding agent to any IDE or MCP client (Claude Code, Cursor, Codex), plus native `@oz` in VS Code Copilot Chat. Independent project; uses only Warp's documented public interfaces. MIT.