gemini-mcp-bridge
Related Servers
Alternatives to gemini-mcp-bridge
No user-submitted related servers found.
Related Servers
- FlicenseAqualityDmaintenanceWraps the Gemini CLI as an MCP server, enabling AI tools to perform Gemini queries, interactive sessions, and extension management via a unified tool.11-
- FlicenseNot gradedqualityDmaintenanceAn MCP server that wraps the Gemini CLI to provide tools for executing prompts, managing chat sessions, and accessing CLI extensions. It supports both local stdio and remote SSE transports for flexible integration with MCP clients.1-
- AlicenseAqualityCmaintenanceImplementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.2030 npm88MIT
- AlicenseNot gradedqualityDmaintenanceExposes the local Gemini CLI as an MCP stdio server, providing tools for prompting, web search, file operations, and MCP management, enabling AI clients like Codex CLI and Claude Code to interact with Gemini.7MIT
- AlicenseAqualityFmaintenanceModel Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini AI models.632 npm258MIT
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that wraps the Gemini CLI, enabling AI assistants to send prompts, research topics, analyze code, and summarize content using Gemini.12MIT
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: ping for health, query for agentic code/Q&A, search for web-grounded answers, structured for schema-validated JSON, and fetch-chunk for retrieving large responses. Even query and structured, which both use file access, are differentiated by output format and validation.
Names are all lowercase and concise, but they mix verbs (ping, search, fetch-chunk), a noun (query), and an adjective (structured). There is no consistent verb_noun pattern, though the simple style remains readable and not chaotic.
Five tools is well-scoped for a Gemini bridge, covering health checking, general and code-aware querying, web search, structured output, and chunk retrieval. Each tool has a clear role and none feels redundant.
The tool set covers core Gemini workflows: health verification, agentic analysis, web research, structured extraction, and large-response handling. Minor gaps exist, such as explicit model management or conversation history, but they are not essential for the server's stated purpose.