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Route tasks to GLM-4.7 for cost-efficient, high-quality coding and writing.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "GLM-4.7 MCP Server" yet — see the docs or source repo.
Use the GLM-4.7 MCP Server to analyze this Python module, refactor duplicated logic, keep the current interface, and return the revised code with change notes.
Returns improved code, key change notes, and a brief summary of compatibility impact.
Use the GLM-4.7 MCP Server to generate a draft API document from this code and comments, including parameters, return values, error codes, and examples.
Outputs a well-structured API documentation draft ready for review and publishing.
Use the GLM-4.7 MCP Server to summarize this set of requirement documents, extract core features, risks, and open questions, and organize them by priority.
Generates a structured requirements analysis suitable for product or engineering follow-up.
Use GLM as a low-cost file-editing subagent for AI coding workflows.
Delegate low-risk tasks to a cheaper model with main-agent review.
Offload non-critical LLM tasks to your own model to save premium quota.
Analyze massive codebases beyond context limits with recursive LLM search.
Connect Claude models to IDEs and agents for free coding assistance.
Connect Claude to logged-in MCP services for multi-AI collaborative analysis.