F
licenseNot graded
qualityC
maintenanceMCP server for OpenAI ChatGPT API. Enables chat completions, vision analysis, embeddings, and model listing through natural language.
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io.github.AceDataCloud/mcp-glm
Officialby AceDataCloud
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TDQS
A3.6/5.0
Scored across 3 tools
Disambiguation4/5
The three tools serve clearly different purposes: generating a completion, listing models, and reading documentation. The only mild overlap is between the usage-guide tool and the rich descriptions already embedded in the other two tools, which could make an agent ask 'do I need the guide first?'
Naming Consistency4/5
All tools share a consistent glm_ prefix, and two of three follow a verb_noun pattern (glm_get_usage_guide, glm_list_models). glm_chat_completions breaks the verb-first convention by using a resource path name, but it remains readable and predictable.
Tool Count3/5
Three tools is on the thin side for an API wrapper surface, and one of them (glm_get_usage_guide) is essentially packaged documentation rather than an operational capability. The count is defensible for a narrow single-endpoint wrapper but feels minimal.
Completeness3/5
Chat completion plus model listing covers the core workflow, but there is no embeddings, no streaming/tokenization, and no non-chat GLM endpoint, so agents needing anything beyond chat hit a dead end. The surface is workable but notably incomplete for a 'GLM API' server.
Maintenance
ActivityActive
ResponsivenessNo recent community issues