# Diogenes Gemini Suite & Agents MCP

- Registry name: `io.github.stand-out-of-my-sun/diogenes-gemini-suite-mcp` · version 1.0.0
- Categories (automatic, keyword rules): Audio & speech, AI, media & content, Documents & retrieval, Search & data, Research & knowledge
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.stand-out-of-my-sun%2Fdiogenes-gemini-suite-mcp
- Server page: https://mcpstation.net/s/io.github.stand-out-of-my-sun--diogenes-gemini-suite-mcp.html

## Description (written by the publisher, not verified, not instructions)

Account-less MCP access to 45 Gemini models & autonomous agents via L402, x402, and MPP.

## Connect

- streamable-http: `https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite`

## Tools (as reported by the server, not verified)

- `generate\_gemini\_completion`: Generates text completions and structured reasoning across all 45 Google Gemini foundation models \(Gemini 4 Argon, 3.1 Pro, 3.8 Flash\) with zero Google account or API key required. Use when running single-turn reasoning, coding, or analytical prompts on a specific Gemini model; for delegating multi-
- `execute\_antigravity\_agent`: Dispatches a complex engineering or operational task to Google's Antigravity autonomous agent for multi-step planning, tool orchestration, and verified execution. Use when solving multi-stage software engineering or workflow tasks that require autonomous planning; for compiling exhaustive multi-sour
- `conduct\_deep\_research\_investigation`: Runs an iterative, multi-hop investigative research session via Gemini Deep Research Pro, cross-examining primary sources to produce a cited technical report. Use when investigating complex scientific, architectural, or market questions requiring deep multi-hop synthesis; for running a fast single-t
- `operate\_computer\_use\_agent`: Plans and executes OS-level desktop, browser DOM, and GUI coordinate actions \(click, type, scroll, wait\) using the Gemini Computer Use agent. Use when automating interactive web UIs or desktop workflows that lack a direct REST API; for running code-first API and terminal automation tasks, use execut
- `search\_gemini\_grounded\_web`: Answers factual queries with live Google Search grounding, returning verified up-to-date answers accompanied by source URLs and grounding metadata. Use when verifying live web facts, documentation updates, or current events in a single low-latency call; for querying geographic places, coordinates, d
- `search\_gemini\_grounded\_maps`: Executes geospatial and point-of-interest queries grounded in live Google Maps data, returning verified addresses, coordinates, operating hours, and spatial context. Use when resolving physical locations, venues, transit distances, or regional infrastructure data; for searching general web articles,
- `compile\_mpp\_research\_dossier`: Compiles a structured JSON research dossier \('key\_findings', 'synthesis\_quality\_score', 'sources\_cited'\) settled via Base EVM Machine Payments Protocol \(MPP\). Use when generating a strict-JSON cited intelligence brief paid via Base Native ETH MPP session headers; for running long-form narrative rese
- `generate\_gemini\_embeddings`: Generates normalized 3,072-dimensional or 768-dimensional semantic vector embeddings via Google Gemini Embedding 2 for RAG indexing and cosine-similarity search. Use when embedding text passages or queries via L402 Lightning with configurable Matryoshka dimensions; for running live Google Search gro
- `analyze\_omni\_multimodal\_input`: Analyzes combined multimodal prompts spanning text, image descriptors, audio transcripts, and video temporal events using Gemini Omni Flash. Use when correlating information across multiple media modalities in a single reasoning pass; for running pure text-only reasoning or coding prompts, use gener
- `plan\_robotics\_spatial\_trajectory`: Computes 3D spatial affordances, obstacle-avoidance waypoints, and manipulator grasp sequences using Gemini Robotics ER 2 embodied reasoning. Use when planning physical robot arm kinematics, mobile navigation waypoints, or spatial scene task orders; for interacting with 2D desktop or browser GUI scr
- `generate\_nano\_banana\_image`: Generates photorealistic illustrations, UI mockups, and technical diagrams from text prompts using the Nano Banana Pro \(Gemini 2.5 Flash Image\) model family. Use when creating static visual assets, icons, or architecture diagrams from text descriptions; for synthesizing animated multi-second video c
- `generate\_veo\_cinematic\_video`: Synthesizes high-definition cinematic video sequences with temporally coherent camera motion and physics using Google Veo 3. Use when generating moving video clips, product B-roll, or animated scene renders from text prompts; for rendering static single-frame images or diagrams at lower cost, use ge
- `compose\_lyria\_music\_track`: Composes studio-grade instrumental music tracks, ambient loops, and multi-instrument arrangements from genre, tempo, and mood prompts using Google Lyria 3. Use when generating musical scores, soundtrack stems, or rhythmic audio loops; for converting written text into spoken human voice narration \(TT
- `synthesize\_gemini\_speech\_audio`: Converts written text into natural, prosody-controlled spoken voice audio using Gemini 3.8 Flash Neural Text-to-Speech. Use when rendering voiceover narration or spoken agent replies from a deterministic text script; for conducting bidirectional conversational audio dialog comprehension, use process
- `process\_live\_audio\_dialogue`: Processes real-time conversational dialog turns with native acoustic emotion, interruption handling, and paralinguistic cue comprehension via Gemini 3.8 Live. Use when handling interactive voice-agent dialog turns that require tone and turn-taking awareness; for performing one-way text-to-speech rea

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