third-party-gemini-mcp
Related Servers
Alternatives to third-party-gemini-mcp
No user-submitted related servers found.
Related Servers
- -licenseCqualityNot gradedmaintenanceEnables interaction with OpenAI-compatible APIs (like Ollama) through MCP tools. Provides access to chat completions, model listings, and embeddings generation from local or remote OpenAI-style endpoints.3-
- AlicenseAqualityBmaintenanceIntegrates OpenAI APIs into MCP-compatible clients, providing tools for text generation, chat completions, model discovery, image creation/editing, audio transcription, speech synthesis, embeddings, and content moderation.9180 npmMIT
- FlicenseBqualityDmaintenanceEnables interaction with OpenAI's Chat Completion and Assistants APIs, supporting assistant management, file operations, and direct queries to GPT models through standardized MCP tools.92-
- AlicenseAqualityDmaintenanceAn MCP server that enables AI applications to access 20+ model providers (including OpenAI, Anthropic, Google) through a unified interface for text and image generation.230MIT
- AlicenseNot gradedqualityBmaintenanceMCP server that enables agents to dynamically switch between multiple AI models (OpenAI, Anthropic, Google, etc.) with unified protocol-driven configuration and capability discovery.Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients to gain vision capabilities by analyzing images, extracting text, and comparing images through any OpenAI-compatible vision endpoint.14 npmMIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: text/code/document processing, image analysis, and image generation. No overlap in functionality, so an agent can easily select the right tool.
Two tools use the 'gemini_' prefix (gemini_flash, gemini_vision) while the third uses an action-oriented name (image_generate). This mixed convention is somewhat inconsistent, though each name is still descriptive and understandable.
With only 3 tools, the set is slightly thin but still reasonably scoped for a focused Gemini API wrapper. The tools cover the core text, vision, and generation capabilities without unnecessary bloat.
The tool surface covers the primary Gemini modalities (text, vision, image generation), but could be missing other capabilities like embeddings, audio, or fine-tuning. For a general-purpose MCP server, the current set is functional but not exhaustive.