# Diogenes Gemini Suite & Agents MCP (remote · diogenes-micro-gateway.corinth.workers.dev)

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

- Trust score: 65/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `diogenes-micro-gateway.corinth.workers.dev`: 65/100 (this document), [markdown](https://verifymcp.io/servers/stand-out-of-my-sun-diogenes-gemini-suite-mcp/mcp-gemini-suite.md), [page](https://verifymcp.io/servers/stand-out-of-my-sun-diogenes-gemini-suite-mcp/mcp-gemini-suite)

## Channel facts

- Endpoint: `https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Endpoint Security**: 74/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 65/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 2828 tokens (~188/item across 15 items; 15 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability check failed: schema churn in the 16 days we've observed: 20 tool removals, 0 breaking changes, 0 auth/transport breaks, 15 additions.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 75/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "execute_antigravity_agent" implies "execute" and declares readOnlyHint instead, contradicting what its own name says it does.
  - An AI judge read all 16 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 20/100
  - Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28.

## Install

### How do I install the Diogenes Gemini Suite & Agents MCP server?

Diogenes Gemini Suite & Agents MCP is a hosted endpoint at https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http stand-out-of-my-sun-diogenes-gemini-suite-mcp 'https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite'
```

### Cursor

```json
{
  "mcpServers": {
    "stand-out-of-my-sun-diogenes-gemini-suite-mcp": {
      "url": "https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "stand-out-of-my-sun-diogenes-gemini-suite-mcp": {
      "type": "http",
      "url": "https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite"
    }
  }
}
```

### Codex

```toml
[mcp_servers.stand-out-of-my-sun-diogenes-gemini-suite-mcp]
url = "https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "stand-out-of-my-sun-diogenes-gemini-suite-mcp": {
      "type": "remote",
      "url": "https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add stand-out-of-my-sun-diogenes-gemini-suite-mcp --url 'https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  stand-out-of-my-sun-diogenes-gemini-suite-mcp:
    url: "https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite"
```

### Netclaw

```json
{
  "McpServers": {
    "stand-out-of-my-sun-diogenes-gemini-suite-mcp": {
      "Transport": "http",
      "Url": "https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite"
    }
  }
}
```

### Vellum

```bash
assistant mcp add stand-out-of-my-sun-diogenes-gemini-suite-mcp -t streamable-http -u 'https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite'
```

### Other

```json
{
  "mcpServers": {
    "stand-out-of-my-sun-diogenes-gemini-suite-mcp": {
      "type": "http",
      "url": "https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-04 (score 65, +4)

- [security improvement] HTTPS: fail → pass
- [security] The server rewrote its instructions, which are the text every model session reads

### 2026-10-27 (score 61, 0)

- [security regression] A breaking change shipped without a version bump: still 2.5.0
- [functional regression] “compile_mpp_research_dossier” made “query” required, so existing callers break
- [cosmetic] “compile_mpp_research_dossier” added an optional parameter “research_topic”

### 2026-10-26 (score 61, 0)

- [security] Tool “analyze_omni_multimodal_input” rewrote its description, which is the text the model reads
- [security] Tool “compile_mpp_research_dossier” rewrote its description, which is the text the model reads
- [security] Tool “compose_lyria_music_track” rewrote its description, which is the text the model reads
- [security] Tool “conduct_deep_research_investigation” rewrote its description, which is the text the model reads
- [security] Tool “execute_antigravity_agent” rewrote its description, which is the text the model reads
- [security] Tool “generate_gemini_completion” rewrote its description, which is the text the model reads
- [security] Tool “generate_gemini_embeddings” rewrote its description, which is the text the model reads
- [security] Tool “generate_nano_banana_image” rewrote its description, which is the text the model reads
- [security] Tool “generate_veo_cinematic_video” rewrote its description, which is the text the model reads
- [security] Tool “operate_computer_use_agent” rewrote its description, which is the text the model reads
- [security] Tool “plan_robotics_spatial_trajectory” rewrote its description, which is the text the model reads
- [security] Tool “process_live_audio_dialogue” rewrote its description, which is the text the model reads
- [security] Tool “search_gemini_grounded_maps” rewrote its description, which is the text the model reads
- [security] Tool “search_gemini_grounded_web” rewrote its description, which is the text the model reads
- [security] Tool “synthesize_gemini_speech_audio” rewrote its description, which is the text the model reads

### 2026-10-24 (score 61, 0)

- [security] Tool “compile_mpp_research_dossier” rewrote its description, which is the text the model reads

### 2026-10-22 (score 61, +2)

- [security regression] Stability: 0.03 → fail
- [security regression] A breaking change shipped without a version bump: still 2.5.0
- [security regression] Tool “ai_antigravity_agent” was removed
- [security regression] Tool “ai_audio_live” was removed
- [security regression] Tool “ai_code_gen” was removed
- [security regression] Tool “ai_computer_use” was removed
- [security regression] Tool “ai_deep_research” was removed
- [security regression] Tool “ai_embeddings” was removed
- [security regression] Tool “ai_extract” was removed
- [security regression] Tool “ai_generate” was removed
- [security regression] Tool “ai_grounded_maps” was removed
- [security regression] Tool “ai_grounded_search” was removed
- [security regression] Tool “ai_image_gen” was removed
- [security regression] Tool “ai_music_gen” was removed
- [security regression] Tool “ai_omni” was removed
- [security regression] Tool “ai_robotics” was removed
- [security regression] Tool “ai_summarize” was removed
- [security regression] Tool “ai_tts” was removed
- [security regression] Tool “ai_video_gen” was removed
- [security regression] Tool “mpp_deep_search” was removed
- [security regression] Tool “mpp_session_infer” was removed
- [security regression] Tool “x402_embeddings” was removed
- [functional regression] Schema quality: pass → fail
- [functional improvement] Tool coverage: 52% → 100%
- [functional] First check of Tool coverage: 100
- [functional] Schema quality: fair → excellent
- [functional] Destructive annotations: pass → 0
- [functional] New tool “analyze_omni_multimodal_input”
- [functional] New tool “compile_mpp_research_dossier”
- [functional] New tool “compose_lyria_music_track”
- [functional] New tool “conduct_deep_research_investigation”
- [functional] New tool “execute_antigravity_agent”
- [functional] New tool “generate_gemini_completion”
- [functional] New tool “generate_gemini_embeddings”
- [functional] New tool “generate_nano_banana_image”
- [functional] New tool “generate_veo_cinematic_video”
- [functional] New tool “operate_computer_use_agent”
- [functional] New tool “plan_robotics_spatial_trajectory”
- [functional] New tool “process_live_audio_dialogue”
- [functional] New tool “search_gemini_grounded_maps”
- [functional] New tool “search_gemini_grounded_web”
- [functional] New tool “synthesize_gemini_speech_audio”

### 2026-10-21 (score 59, +1)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-20 (score 58)

First indexed and scored.

## MCP tools (15)

### `generate_gemini_completion` (~191 tokens)

Account-Less Google Gemini 4 Argon & 3.1 Pro Universal Text Generator

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-step complex tasks that require remote tool execution, use execute_antigravity_agent instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('model' defaults to 'gemini-4-argon'), supports '?demo=true' or L402 (50 sats), and returns HTTP 400 if invalid.

Input parameters:

- `model` (string): Target Gemini foundation model identifier; defaults to 'gemini-4-argon' when omitted.
- `prompt` (string, required): Primary user instruction or reasoning prompt to send to the selected Gemini model.

Output parameters:

- `grounding_metadata` (object): Optional citation metadata if search grounding was enabled.
- `model` (string): Gemini model identifier that executed the completion.
- `output` (string): Generated model response text.
- `success` (boolean): True when inference completed without upstream errors.

### `execute_antigravity_agent` (~171 tokens)

Google Antigravity Multi-Step Autonomous Coding & Workflow 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-source literature and market research dossiers, use conduct_deep_research_investigation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('execution_mode' defaults to 'autonomous_verified'), supports '?demo=true' or L402 (150 sats), and returns HTTP 400 if invalid.

Input parameters:

- `execution_mode` (string): Autonomy policy for subtask execution; defaults to 'autonomous_verified' when omitted.
- `input` (string, required): High-level task objective and constraints for the Antigravity autonomous agent.

Output parameters:

- `agent` (string): Autonomous agent identifier ('antigravity-preview-latest').
- `environment` (string): Execution environment ('remote').
- `output` (string): Synthesized final deliverable and action trace summary.
- `success` (boolean): True when the agent completed all planned steps.

### `conduct_deep_research_investigation` (~176 tokens)

Gemini Deep Research Pro Multi-Hop Investigative Analyst

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-turn Google Search grounded fact lookup, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('depth_tier' defaults to 'quick_synthesis'), supports '?demo=true' or L402 (300 sats), and returns HTTP 400 if invalid.

Input parameters:

- `depth_tier` (string): Research breadth and citation density; defaults to 'exhaustive_report' when omitted.
- `input` (string, required): Investigative research question, scope, and specific aspects to analyze.

Output parameters:

- `agent` (string): Deep Research engine identifier ('deep-research-preview-04-2026').
- `output` (string): Comprehensive multi-section investigative report with inline citations.
- `sources_count` (integer): Number of independent sources cross-referenced.
- `success` (boolean): True when the research synthesis completed.

### `operate_computer_use_agent` (~173 tokens)

Gemini Computer Use GUI & Browser Action Planner

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 execute_antigravity_agent instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('viewport_preset' defaults to 'desktop_1080p'), supports '?demo=true' or L402 (200 sats), and returns HTTP 400 if invalid.

Input parameters:

- `input` (string, required): UI automation goal and target webpage or application context.
- `viewport_preset` (string): Target screen resolution for coordinate grounding; defaults to 'desktop_1080p' when omitted.

Output parameters:

- `agent` (string): Computer Use model identifier ('computer-use-preview-2026').
- `output` (string): Executed UI action sequence and extracted screen state.
- `steps_executed` (integer): Number of GUI interaction steps performed.
- `success` (boolean): True when the UI workflow reached the target state.

### `search_gemini_grounded_web` (~181 tokens)

Google Search Grounded Real-Time Fact & Citation Engine

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, directions, and local business data via Google Maps grounding, use search_gemini_grounded_maps instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('recency_bias' defaults to 'past_24h'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

Input parameters:

- `prompt` (string, required): Factual question or search query to ground against live Google Search results.
- `recency_bias` (string): Temporal preference for search snippets; defaults to 'any_time' when omitted.

Output parameters:

- `citations` (object): Structured Google Search grounding chunks and source URLs.
- `grounding` (string): Grounding source ('google_search').
- `model` (string): Gemini model used for grounded synthesis.
- `output` (string): Grounded factual answer text.

### `search_gemini_grounded_maps` (~169 tokens)

Google Maps Grounded Geospatial & Place Intelligence Engine

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, documentation, and news, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('distance_units' defaults to 'metric_km'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

Input parameters:

- `distance_units` (string): Preferred unit system for distances; defaults to 'metric_km' when omitted.
- `prompt` (string, required): Geospatial query, place name, or regional routing question.

Output parameters:

- `grounding` (string): Grounding source ('google_maps').
- `model` (string): Gemini model used for geospatial synthesis.
- `output` (string): Geospatially grounded response with place details.
- `places` (object): Structured Google Maps place identifiers and coordinates.

### `compile_mpp_research_dossier` (~208 tokens)

Base MPP Session-Metered Multi-Source Research Dossier Compiler

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 USDC MPP session headers; for running long-form narrative research reports via L402 Lightning, use conduct_deep_research_investigation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'research_topic' ('output_density' defaults to 'concise_5_points'), supports '?demo=true' or MPP (300 sats), and returns HTTP 400 if invalid.

Input parameters:

- `output_density` (string): Granularity of the key_findings array; defaults to 'executive_10_points' when omitted.
- `query` (string, required): Research topic or technical question to investigate and structure into JSON.
- `research_topic` (string): Alias for query: research topic or technical question to investigate.

Output parameters:

- `key_findings` (array): High-density factual bullet strings synthesized from live sources.
- `query` (string): Investigated research query.
- `sources_cited` (array): Verified grounding source references.
- `synthesis_quality_score` (integer): Self-audit completeness score from 90 to 100.

### `generate_gemini_embeddings` (~180 tokens)

Gemini Embedding 2 High-Dimensional (3,072-D) Vector Generator

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 grounded factual queries, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('model' defaults to 'gemini-embedding-2'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Input parameters:

- `model` (string): Gemini embedding model version; defaults to 'gemini-embedding-2' when omitted.
- `text` (string, required): Input text passage, code snippet, or search query to embed into a float vector.

Output parameters:

- `dimensions` (integer): Vector dimensionality returned (e.g. 3072 or 768).
- `embedding` (array): Normalized floating-point embedding vector.
- `model` (string): Embedding model executed.
- `success` (boolean): True when vector generation succeeded.

### `analyze_omni_multimodal_input` (~169 tokens)

Gemini Omni Unified Text, Audio & Video Multimodal Analyzer

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 generate_gemini_completion instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('modality_focus' defaults to 'cross_modal_synthesis'), supports '?demo=true' or L402 (100 sats), and returns HTTP 400 if invalid.

Input parameters:

- `input` (string, required): Multimodal prompt or media scene description to analyze.
- `modality_focus` (string): Primary analytical lens applied to the multimodal input; defaults to 'cross_modal_synthesis' when omitted.

Output parameters:

- `modalities_processed` (array): Modalities integrated during inference.
- `model` (string): Executed multimodal model ('gemini-omni-flash').
- `output` (string): Unified multimodal analysis and extracted timeline.
- `success` (boolean): True when multimodal processing succeeded.

### `plan_robotics_spatial_trajectory` (~175 tokens)

Gemini Robotics ER 2 Embodied Spatial & Kinematics Trajectory Planner

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 screens, use operate_computer_use_agent instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('coordinate_frame' defaults to 'cartesian_xyz_meters'), supports '?demo=true' or L402 (150 sats), and returns HTTP 400 if invalid.

Input parameters:

- `coordinate_frame` (string): Reference coordinate convention; defaults to 'cartesian_xyz_meters' when omitted.
- `prompt` (string, required): Spatial environment description, obstacle coordinates, and physical manipulation goal.

Output parameters:

- `coordinate_frame` (string): Coordinate convention used in the output.
- `model` (string): Embodied reasoning model ('gemini-robotics-er-2-preview').
- `output` (string): Synthesized trajectory plan, collision checks, and grasp sequence.
- `success` (boolean): True when a collision-free trajectory was generated.

### `generate_nano_banana_image` (~176 tokens)

Nano Banana Pro (Gemini Image) Visual Asset & Diagram Generator

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 clips with motion, use generate_veo_cinematic_video instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('aspect_ratio' defaults to '1:1'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

Input parameters:

- `aspect_ratio` (string): Output image aspect ratio; defaults to '16:9' when omitted.
- `prompt` (string, required): Detailed visual scene, composition, lighting, and typography description to render.

Output parameters:

- `model` (string): Image generation model executed ('gemini-2.5-flash-image').
- `notice` (string): Execution confirmation notice.
- `output` (string): Generated image payload or asset descriptor.
- `success` (boolean): True when visual asset synthesis succeeded.

### `generate_veo_cinematic_video` (~168 tokens)

Google Veo 3 High-Definition Cinematic Video Generator

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 generate_nano_banana_image instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('motion_style' defaults to 'static_tripod'), supports '?demo=true' or L402 (650 sats), and returns HTTP 400 if invalid.

Input parameters:

- `motion_style` (string): Camera movement preset; defaults to 'smooth_tracking_shot' when omitted.
- `prompt` (string, required): Cinematic scene description including subject motion, camera trajectory, and lighting.

Output parameters:

- `model` (string): Video synthesis model executed ('veo-3-generate').
- `notice` (string): Execution status summary.
- `output` (string): Generated video stream descriptor and frame metadata.
- `success` (boolean): True when Veo 3 synthesis completed.

### `compose_lyria_music_track` (~177 tokens)

Google Lyria 3 Instrumental Music & Audio Stem Composer

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 (TTS), use synthesize_gemini_speech_audio instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('genre_preset' defaults to 'cinematic_synth'), supports '?demo=true' or L402 (150 sats), and returns HTTP 400 if invalid.

Input parameters:

- `genre_preset` (string): Primary acoustic or electronic genre; defaults to 'cinematic_synth' when omitted.
- `prompt` (string, required): Musical style, instrumentation, BPM tempo, and harmonic mood description.

Output parameters:

- `model` (string): Music generation model executed ('lyria-3-clip').
- `notice` (string): Composition completion notice.
- `output` (string): Generated audio track payload and arrangement metadata.
- `success` (boolean): True when Lyria 3 audio synthesis succeeded.

### `synthesize_gemini_speech_audio` (~167 tokens)

Gemini Neural Text-to-Speech (TTS) Expressive Voice Synthesizer

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_live_audio_dialogue instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('voice_persona' defaults to 'neutral_broadcast'), supports '?demo=true' or L402 (50 sats), and returns HTTP 400 if invalid.

Input parameters:

- `text` (string, required): Exact written script or paragraph to synthesize into spoken voice audio.
- `voice_persona` (string): Expressive vocal timbre preset; defaults to 'neutral_broadcast' when omitted.

Output parameters:

- `model` (string): Neural TTS model executed ('gemini-3.8-flash-tts').
- `notice` (string): Audio synthesis status message.
- `output` (string): Synthesized speech audio descriptor and phoneme duration summary.
- `success` (boolean): True when TTS synthesis completed.

### `process_live_audio_dialogue` (~175 tokens)

Gemini 3.8 Live Native Audio-to-Audio Conversational Processor

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 readout of a static text string, use synthesize_gemini_speech_audio instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('response_tone' defaults to 'direct_peer'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

Input parameters:

- `input` (string, required): Conversational audio transcript or dialog turn payload to process.
- `response_tone` (string): Target paralinguistic delivery style; defaults to 'direct_peer' when omitted.

Output parameters:

- `model` (string): Live dialog model executed ('gemini-3.8-live').
- `output` (string): Conversational response turn and paralinguistic cues.
- `success` (boolean): True when live dialog turn processing succeeded.
- `turn_complete` (boolean): True when the response turn is finalized.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/stand-out-of-my-sun-diogenes-gemini-suite-mcp/mcp-gemini-suite#diagnostics

## Score history

- 2026-11-05: 65
- 2026-11-04: 65
- 2026-11-03: 61
- 2026-11-02: 61
- 2026-11-01: 61
- 2026-10-31: 61
- 2026-10-30: 61
- 2026-10-29: 61
- 2026-10-28: 61
- 2026-10-27: 61
- 2026-10-26: 61
- 2026-10-25: 61
- 2026-10-24: 61
- 2026-10-23: 61
- 2026-10-22: 61
- 2026-10-21: 59
- 2026-10-20: 58

## Common questions

### What is the Diogenes Gemini Suite & Agents MCP server?

Diogenes Gemini Suite & Agents MCP is listed in the public MCP registry as io.github.stand-out-of-my-sun/diogenes-gemini-suite-mcp. Account-less MCP access to 45 Gemini models & autonomous agents via L402, x402, and MPP. This page covers its hosted endpoint (https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite).

### Is the Diogenes Gemini Suite & Agents MCP server safe to use?

Diogenes Gemini Suite & Agents MCP scores 65 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the Diogenes Gemini Suite & Agents MCP server expose?

Diogenes Gemini Suite & Agents MCP exposes 15 tools: generate_gemini_completion, execute_antigravity_agent, conduct_deep_research_investigation, operate_computer_use_agent, search_gemini_grounded_web, and 10 more. Their descriptions and schemas cost roughly 2,656 tokens of context every time the server is loaded.

### Does the Diogenes Gemini Suite & Agents MCP server require authentication?

No. We connected to Diogenes Gemini Suite & Agents MCP without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the Diogenes Gemini Suite & Agents MCP server still maintained?

Diogenes Gemini Suite & Agents MCP is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://diogenes-micro-gateway.corinth.workers.dev/mcp/gemini-suite
- Repository: https://github.com/stand-out-of-my-sun/diogenes-gemini-suite-mcp
- Website: https://diogenes-micro-gateway.corinth.workers.dev/
- Changelog RSS feed: https://verifymcp.io/servers/stand-out-of-my-sun-diogenes-gemini-suite-mcp/mcp-gemini-suite.xml
- Changelog JSON feed: https://verifymcp.io/servers/stand-out-of-my-sun-diogenes-gemini-suite-mcp/mcp-gemini-suite.json
- HTML version of this page: https://verifymcp.io/servers/stand-out-of-my-sun-diogenes-gemini-suite-mcp/mcp-gemini-suite