{
  "name": "diogenes-gemini-suite-mcp",
  "package": "gemini-suite",
  "server_id": "io.github.stand-out-of-my-sun/diogenes-gemini-suite",
  "tensorblock_profile_id": "github-stand-out-of-my-sun-diogenes-l402-gateway-efbd75e7",
  "version": "2.5.0",
  "description": "Diogenes Autonomous Multi-Protocol L402 / x402 / MPP AI Microservice Gateway (61 Live Endpoints)",
  "protocol": "mcp-2024-11-05",
  "transport": "streamable-http",
  "category": "Security",
  "license": "MIT",
  "maintainer": "@stand-out-of-my-sun",
  "auth": {
    "type": "none",
    "accountless": true,
    "summary": "No auth required for free tier, MCP tool discovery, and ?demo=true previews (no account, no API key, no registration). Optional pay-per-request L402/x402/MPP headers for production execution.",
    "headers": {
      "L402": "Authorization: L402 <macaroon>:<preimage_hex>",
      "x402": "X-Payment-Signature: <solana_tx_signature>",
      "MPP": "X-Payment-TxHash: <base_evm_tx_hash>"
    }
  },
  "install_confidence": "high",
  "verification": {
    "status": "verified",
    "maintainer": "@stand-out-of-my-sun",
    "tensorblock_json": "https://diogenes-micro-gateway.corinth.workers.dev/.well-known/tensorblock.json",
    "glama_json": "https://diogenes-micro-gateway.corinth.workers.dev/.well-known/glama.json",
    "health_check": "https://diogenes-micro-gateway.corinth.workers.dev/api/v1/health"
  },
  "homepage": "https://diogenes-micro-gateway.corinth.workers.dev",
  "endpoints": {
    "mcp_streamable_http": "https://diogenes-micro-gateway.corinth.workers.dev/mcp",
    "health": "https://diogenes-micro-gateway.corinth.workers.dev/api/v1/health",
    "docs": "https://diogenes-micro-gateway.corinth.workers.dev/llms.txt",
    "support": "https://github.com/stand-out-of-my-sun/diogenes-micro-gateway/issues",
    "l402_lightning": "diogenesagent@coinos.io",
    "x402_solana": "9fhZHnT3DdvmPcWm5oyWQs3ZUu26EjBsfC8rzLtuafc",
    "mpp_base_evm": "0x14dbc1Efd68C4c4Fc7a46fA804b849372eB7319b"
  },
  "tools": [
    {
      "name": "x402_embeddings",
      "description": "Agent Semantic Vector Embeddings ($0.01 USDC via x402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "text": {
            "type": "string",
            "description": "Text to embed"
          },
          "dimensions": {
            "type": "integer",
            "default": 3072
          }
        },
        "required": [
          "text"
        ]
      },
      "annotations": {
        "title": "X402 EMBEDDINGS",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "mpp_session_infer",
      "description": "Streaming Agent Reasoning & Session Inference ($0.05 USDC via MPP).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "prompt": {
            "type": "string",
            "description": "Prompt for reasoning"
          },
          "model": {
            "type": "string",
            "description": "Model identifier"
          },
          "session_id": {
            "type": "string",
            "description": "Streaming session ID"
          }
        },
        "required": [
          "prompt"
        ]
      },
      "annotations": {
        "title": "MPP SESSION INFER",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "mpp_deep_search",
      "description": "Deep research dossier with live citations ($0.10 USDC via MPP on Base).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "Investigation target"
          }
        },
        "required": [
          "query"
        ]
      },
      "annotations": {
        "title": "MPP DEEP SEARCH",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_code_gen",
      "description": "Python Script & Scraper Synthesis using Gemini models (300 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "prompt": {
            "type": "string",
            "description": "Specification for code synthesis"
          },
          "language": {
            "type": "string",
            "default": "python"
          }
        },
        "required": [
          "prompt"
        ]
      },
      "annotations": {
        "title": "AI CODE GEN",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_extract",
      "description": "Structured JSON Entity Extractor from arbitrary unformatted text (150 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "text": {
            "type": "string",
            "description": "Raw unstructured text"
          },
          "target_entities": {
            "type": "array",
            "items": {
              "type": "string"
            },
            "description": "Entities to extract"
          }
        },
        "required": [
          "text"
        ]
      },
      "annotations": {
        "title": "AI EXTRACT",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_summarize",
      "description": "Executive technical summarizer and brief generator (100 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "content": {
            "type": "string",
            "description": "Text or document content"
          },
          "max_tokens": {
            "type": "integer",
            "default": 500
          }
        },
        "required": [
          "content"
        ]
      },
      "annotations": {
        "title": "AI SUMMARIZE",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_antigravity_agent",
      "description": "Google Antigravity autonomous agent with remote execution and tool use (500 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "goal": {
            "type": "string",
            "description": "High-level goal for the autonomous agent"
          },
          "sandbox_mode": {
            "type": "string",
            "default": "cloud_secure"
          }
        },
        "required": [
          "goal"
        ]
      },
      "annotations": {
        "title": "AI ANTIGRAVITY AGENT",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_deep_research",
      "description": "Deep Research Pro multi-hour investigative analysis engine (1000 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "target_query": {
            "type": "string",
            "description": "Comprehensive research investigation topic"
          },
          "depth": {
            "type": "string",
            "default": "thorough"
          }
        },
        "required": [
          "target_query"
        ]
      },
      "annotations": {
        "title": "AI DEEP RESEARCH",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_computer_use",
      "description": "OS-level desktop, GUI, and browser automated interaction agent (800 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "action": {
            "type": "string",
            "description": "click, type, key, or screenshot"
          },
          "coordinate": {
            "type": "array",
            "items": {
              "type": "integer"
            }
          },
          "text": {
            "type": "string"
          }
        },
        "required": [
          "action"
        ]
      },
      "annotations": {
        "title": "AI COMPUTER USE",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_generate",
      "description": "Universal Tier 1 model generator supporting 45 foundation models (250 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "prompt": {
            "type": "string",
            "description": "Prompt for reasoning"
          },
          "model": {
            "type": "string",
            "default": "gemini-2.5-flash"
          },
          "grounding": {
            "type": "string",
            "description": "search or maps"
          }
        },
        "required": [
          "prompt"
        ]
      },
      "annotations": {
        "title": "AI GENERATE",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_image_gen",
      "description": "Photorealistic and vector asset generation via Nano Banana / Pro (350 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "prompt": {
            "type": "string",
            "description": "Visual prompt"
          },
          "model": {
            "type": "string",
            "default": "gemini-2.5-flash-image"
          },
          "aspect_ratio": {
            "type": "string",
            "default": "1:1"
          }
        },
        "required": [
          "prompt"
        ]
      },
      "annotations": {
        "title": "AI IMAGE GEN",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_tts",
      "description": "Natural expressive voice synthesis across Gemini TTS models (200 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "text": {
            "type": "string",
            "description": "Script to synthesize"
          },
          "voice": {
            "type": "string",
            "default": "en-US-Standard"
          }
        },
        "required": [
          "text"
        ]
      },
      "annotations": {
        "title": "AI TTS",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_music_gen",
      "description": "Musical composition and instrumental audio generation via Lyria (500 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "prompt": {
            "type": "string",
            "description": "Music generation prompt"
          },
          "genre": {
            "type": "string"
          },
          "duration_seconds": {
            "type": "integer",
            "default": 30
          }
        },
        "required": [
          "prompt"
        ]
      },
      "annotations": {
        "title": "AI MUSIC GEN",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_video_gen",
      "description": "High-definition cinematic video synthesis via Veo 3 (1500 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "prompt": {
            "type": "string",
            "description": "Cinematic scene description"
          },
          "resolution": {
            "type": "string",
            "default": "1080p"
          }
        },
        "required": [
          "prompt"
        ]
      },
      "annotations": {
        "title": "AI VIDEO GEN",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_audio_live",
      "description": "Direct audio-to-audio conversational intelligence without STT/TTS cascade (300 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "audio_base64": {
            "type": "string",
            "description": "Base64 encoded audio input"
          },
          "format": {
            "type": "string",
            "default": "pcm"
          }
        },
        "required": [
          "audio_base64"
        ]
      },
      "annotations": {
        "title": "AI AUDIO LIVE",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_omni",
      "description": "Unified multimodal model handling simultaneous text, audio, and video (300 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "prompt": {
            "type": "string",
            "description": "Multimodal prompt"
          },
          "media_url": {
            "type": "string"
          }
        },
        "required": [
          "prompt"
        ]
      },
      "annotations": {
        "title": "AI OMNI",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_robotics",
      "description": "Spatial reasoning, kinematics trajectory calculation, and robotics task planning (450 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "scene_description": {
            "type": "string"
          },
          "target_object": {
            "type": "string"
          }
        },
        "required": [
          "scene_description"
        ]
      },
      "annotations": {
        "title": "AI ROBOTICS",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_embeddings",
      "description": "High-dimensional 3,072-vector text embeddings for semantic search (50 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "text": {
            "type": "string",
            "description": "Text to embed"
          },
          "model": {
            "type": "string",
            "default": "gemini-embedding-2"
          }
        },
        "required": [
          "text"
        ]
      },
      "annotations": {
        "title": "AI EMBEDDINGS",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_grounded_search",
      "description": "Frontier reasoning grounded directly in live Google Search results (200 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "query": {
            "type": "string",
            "description": "Real-time search question"
          },
          "search_mode": {
            "type": "string",
            "default": "live"
          }
        },
        "required": [
          "query"
        ]
      },
      "annotations": {
        "title": "AI GROUNDED SEARCH",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    },
    {
      "name": "ai_grounded_maps",
      "description": "Grounded reasoning with live Google Maps place details and spatial context (250 sats via L402).",
      "inputSchema": {
        "type": "object",
        "properties": {
          "place_query": {
            "type": "string",
            "description": "Place or spatial query"
          },
          "location": {
            "type": "string"
          }
        },
        "required": [
          "place_query"
        ]
      },
      "annotations": {
        "title": "AI GROUNDED MAPS",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      }
    }
  ]
}