Retrieve metadata for a specific file uploaded to the Gemini API using its unique file name. Designed for use with Google AI Studio API keys within the MCP Gemini Server framework.
Delete a specific file uploaded to the Gemini API by providing its unique file name (e.g., 'files/abc123xyz'). Returns a success confirmation upon deletion. Works exclusively with Google AI Studio API keys.
Upload files to the Gemini API by specifying a local path, returning metadata with unique name and URI. Requires Google AI Studio API keys; supports optional display name and MIME type.
Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.
MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!
A Model Context Protocol server that connects to Google AI Studio/Gemini API, enabling content generation with support for various file types, conversation history, and system prompts.