io.github.stand-out-of-my-sun/diogenes-gemini-suite-mcp

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Les 20 outils

• analyze_omni_multimodal_input≈ 466 tokens

  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 (300 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • input · string · requis
    Multimodal prompt or media scene description to analyze.
  • modality_focus · string · optionnel · cross_modal_synthesis | visual_ocr_extraction | temporal_event_timeline
    Primary analytical lens applied to the multimodal input; defaults to 'cross_modal_synthesis' when omitted.

  Exemple d'appel

  {"name": "analyze_omni_multimodal_input", "arguments": {"input": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "output": "texte", "success": true, "modalities_processed": []}}

• compile_mpp_research_dossier≈ 489 tokens

  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 (1000 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • query · string · optionnel
    Research topic or technical question to investigate and structure into JSON.
  • output_density · string · optionnel · concise_5_points | executive_10_points | comprehensive_20_points
    Granularity of the key_findings array; defaults to 'executive_10_points' when omitted.

  Exemple d'appel

  {"name": "compile_mpp_research_dossier", "arguments": {"query": "texte", "output_density": "concise_5_points"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"query": "texte", "key_findings": [], "sources_cited": [], "synthesis_quality_score": 1}}

• compose_lyria_music_track≈ 456 tokens

  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 (500 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • prompt · string · requis
    Musical style, instrumentation, BPM tempo, and harmonic mood description.
  • genre_preset · string · optionnel · cinematic_synth | lo_fi_hiphop | orchestral_ambient | industrial_techno
    Primary acoustic or electronic genre; defaults to 'cinematic_synth' when omitted.

  Exemple d'appel

  {"name": "compose_lyria_music_track", "arguments": {"prompt": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "notice": "texte", "output": "texte", "success": true}}

• conduct_deep_research_investigation≈ 479 tokens

  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 (1000 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • input · string · requis
    Investigative research question, scope, and specific aspects to analyze.
  • depth_tier · string · optionnel · quick_synthesis | standard_brief | exhaustive_report
    Research breadth and citation density; defaults to 'exhaustive_report' when omitted.

  Exemple d'appel

  {"name": "conduct_deep_research_investigation", "arguments": {"input": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"agent": "texte", "output": "texte", "success": true, "sources_count": 1}}

• execute_antigravity_agent≈ 476 tokens

  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 (500 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • input · string · requis
    High-level task objective and constraints for the Antigravity autonomous agent.
  • execution_mode · string · optionnel · autonomous_verified | plan_only | strict_sandbox
    Autonomy policy for subtask execution; defaults to 'autonomous_verified' when omitted.

  Exemple d'appel

  {"name": "execute_antigravity_agent", "arguments": {"input": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"agent": "texte", "output": "texte", "success": true, "environment": "texte"}}

• generate_gemini_completion≈ 485 tokens

  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 autonomous 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 (250 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • model · string · optionnel · gemini-4-argon | gemini-3.1-pro | gemini-3.8-flash | gemini-2.5-pro
    Target Gemini foundation model identifier; defaults to 'gemini-4-argon' when omitted.
  • prompt · string · requis
    Primary user instruction or reasoning prompt to send to the selected Gemini model.

  Exemple d'appel

  {"name": "generate_gemini_completion", "arguments": {"prompt": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "output": "texte", "success": true, "grounding_metadata": {}}}

• generate_gemini_embeddings≈ 450 tokens

  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 (50 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • text · string · requis
    Input text passage, code snippet, or search query to embed into a float vector.
  • model · string · optionnel · gemini-embedding-2 | gemini-embedding-1
    Gemini embedding model version; defaults to 'gemini-embedding-2' when omitted.

  Exemple d'appel

  {"name": "generate_gemini_embeddings", "arguments": {"text": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "success": true, "embedding": [], "dimensions": 1}}

• generate_nano_banana_image≈ 445 tokens

  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 (350 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • prompt · string · requis
    Detailed visual scene, composition, lighting, and typography description to render.
  • aspect_ratio · string · optionnel · 1:1 | 16:9 | 9:16 | 4:3
    Output image aspect ratio; defaults to '16:9' when omitted.

  Exemple d'appel

  {"name": "generate_nano_banana_image", "arguments": {"prompt": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "notice": "texte", "output": "texte", "success": true}}

• generate_veo_cinematic_video≈ 452 tokens

  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 (1500 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • prompt · string · requis
    Cinematic scene description including subject motion, camera trajectory, and lighting.
  • motion_style · string · optionnel · static_tripod | smooth_tracking_shot | drone_fpv_flyover | macro_slow_motion
    Camera movement preset; defaults to 'smooth_tracking_shot' when omitted.

  Exemple d'appel

  {"name": "generate_veo_cinematic_video", "arguments": {"prompt": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "notice": "texte", "output": "texte", "success": true}}

• operate_computer_use_agent≈ 453 tokens

  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 (800 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • input · string · requis
    UI automation goal and target webpage or application context.
  • viewport_preset · string · optionnel · desktop_1080p | laptop_720p | mobile_viewport
    Target screen resolution for coordinate grounding; defaults to 'desktop_1080p' when omitted.

  Exemple d'appel

  {"name": "operate_computer_use_agent", "arguments": {"input": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"agent": "texte", "output": "texte", "success": true, "steps_executed": 1}}

• plan_robotics_spatial_trajectory≈ 486 tokens

  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 (450 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • prompt · string · requis
    Spatial environment description, obstacle coordinates, and physical manipulation goal.
  • coordinate_frame · string · optionnel · cartesian_xyz_meters | joint_angles_radians | normalized_voxel_grid
    Reference coordinate convention; defaults to 'cartesian_xyz_meters' when omitted.

  Exemple d'appel

  {"name": "plan_robotics_spatial_trajectory", "arguments": {"prompt": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "output": "texte", "success": true, "coordinate_frame": "texte"}}

• process_live_audio_dialogue≈ 464 tokens

  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 (300 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • input · string · requis
    Conversational audio transcript or dialog turn payload to process.
  • response_tone · string · optionnel · direct_peer | concise_tactical | empathetic_support
    Target paralinguistic delivery style; defaults to 'direct_peer' when omitted.

  Exemple d'appel

  {"name": "process_live_audio_dialogue", "arguments": {"input": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "output": "texte", "success": true, "turn_complete": true}}

• search_gemini_grounded_maps≈ 448 tokens

  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 (250 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • prompt · string · requis
    Geospatial query, place name, or regional routing question.
  • distance_units · string · optionnel · metric_km | imperial_miles
    Preferred unit system for distances; defaults to 'metric_km' when omitted.

  Exemple d'appel

  {"name": "search_gemini_grounded_maps", "arguments": {"prompt": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "output": "texte", "places": {}, "grounding": "texte"}}

• search_gemini_grounded_web≈ 460 tokens

  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 (200 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • prompt · string · requis
    Factual question or search query to ground against live Google Search results.
  • recency_bias · string · optionnel · past_24h | past_week | past_year | any_time
    Temporal preference for search snippets; defaults to 'any_time' when omitted.

  Exemple d'appel

  {"name": "search_gemini_grounded_web", "arguments": {"prompt": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "output": "texte", "citations": {}, "grounding": "texte"}}

• synthesize_gemini_speech_audio≈ 458 tokens

  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 (200 sats), and returns HTTP 400 if invalid.

  Paramètres, retour & exemple (2)

  Paramètres

  • text · string · requis
    Exact written script or paragraph to synthesize into spoken voice audio.
  • voice_persona · string · optionnel · neutral_broadcast | warm_conversational | technical_lecturer | urgent_alert
    Expressive vocal timbre preset; defaults to 'neutral_broadcast' when omitted.

  Exemple d'appel

  {"name": "synthesize_gemini_speech_audio", "arguments": {"text": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"model": "texte", "notice": "texte", "output": "texte", "success": true}}

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Source

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