A
licenseNot graded
qualityB
maintenanceConnects Augment to third-party Anthropic-compatible APIs locally, letting users keep full Augment functionality without spending Augment credits and while keeping code on their own machine.
MIT
LiteLLM MCP Server Bridge
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TDQS
B3.4/5.0
Scored across 11 tools
Disambiguation4/5
Most tools target distinct resources (keys, models, health, embeddings, images, speech, rerank), but chat_completion and completion could be confused as both generate text. Descriptions help clarify that one is for chat and the other is a legacy endpoint.
Naming Consistency2/5
Naming conventions are mixed: some follow verb_noun (list_models, create_embedding), others noun_verb (key_generate, model_info), and some are single nouns or verbs (completion, health_check, rerank). This inconsistency makes the tool surface harder to scan.
Tool Count5/5
With 11 tools, the set is well-scoped for a LiteLLM proxy bridge, covering key management, model introspection, and a variety of generation endpoints without feeling bloated or overly sparse.
Completeness4/5
Core operations are covered: key generation/info, model listing/info, chat and text completions, embeddings, image, speech, and rerank. Minor gaps exist, such as no key deletion/update or audio transcription, but most typical workflows are supported.
Maintenance
ActivityInactive
ResponsivenessNo issues