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
Related Servers
Alternatives to LiteLLM MCP Server Bridge
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceConnects QGIS to an LLM through the Model Context Protocol, allowing agentic interaction with and control of QGIS for prompt-assisted project creation, layer loading, code execution, and more.GPL 3.0
- AlicenseNot gradedqualityDmaintenanceEnables LLMs to access Blackbird AI's services through the Model Context Protocol, using Blackbird API credentials for authentication.6MIT
- AlicenseNot gradedqualityBmaintenanceConnects ParaView to LLM assistants via the Model Context Protocol, enabling direct Python code execution and pipeline control within the ParaView GUI.5MIT
- AlicenseBqualityDmaintenanceEnables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.783 npm4MIT
- AlicenseNot gradedqualityBmaintenanceEnables Codex and Claude Code to connect over an authenticated local HTTP endpoint to a logged-in Antigravity CLI, allowing shared workspace-authorized task execution and result handling without opening the Antigravity IDE.2,142 npm7MIT
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
ActivityNo data
ResponsivenessSyncing