F
licenseNot graded
qualityD
maintenanceBridges MCP tool calls with OpenAI-compatible HTTP endpoints, allowing MCP clients to forward chat completion requests through a unified FastAPI server that returns responses with MCP-specific headers.
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No user-submitted related servers found.
Scored across 2 tools
The two tools serve clearly distinct purposes: one for sending completion requests and one for listing models. There is no overlap or ambiguity between them.
The naming convention is inconsistent: 'complete' is a bare verb, while 'list_models' follows a verb_noun pattern. Consistency would improve predictability.
With only 2 tools, the surface is minimal for an LLM gateway. While it covers basic completion and model listing, it feels thin compared to typical gateways that offer more features.
The gateway lacks many expected operations such as streaming, token counting, embeddings, or health checks. This is a significant gap for a production-ready LLM gateway.