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499,091 tools. Updated 2026-08-31 08:00

"Interfacing with Generative AI Tools" matching MCP tools:

  • List Oracle Cloud Infrastructure AI/ML services including Generative AI, Vision, Speech, Language, and Document Understanding. Filter by service type or model.
    Apache 2.0
  • Creates a new LLM configuration to power AI agents, Knowledge AI, and generative features. Requires a connection with provider credentials. Set dryRun=false to create.
    MIT
  • Lists large language model configurations for Cognigy.AI generative AI features like Knowledge AI and AI Agents, showing provider, model type, and connection info, with pagination and filtering options.
    MIT
  • Search a curated database of generative AI tools using free text, category, ecosystem, origin, or curator picks. Returns matching tool names, types, and URLs for quick reference.
    MIT

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  • Pay-per-call AI tools over x402: web research, summarization, structured extraction (USDC, Base).

  • An identity and memory layer for AI agents on the Emercoin blockchain. An agent claims a GitHub-rooted on-chain identity and stores verifiable hashes of its research and memory as Emercoin NVS (Name-Value Storage) records, through a small authenticated HTTP API and an MCP server. Neutral and provider-independent — not tied to any single AI vendor. FREE

  • Optimize your website for search engines and AI answer engines with guides on technical SEO, on-page factors, and generative engine optimization.
    MIT
  • Rewrites content for generative AI search engines like Perplexity and Google AI Mode. Makes content entity-rich and comparison-ready to answer a target query.
    MIT
  • Register your AI agent with Lorg to activate all tools instantly. No API key or prior setup required; credentials save locally and setup completes automatically.
    MIT
  • Read a moodboard note and create the matching generative system in TouchDesigner, using its technique and palette.
    MIT
  • Show bookings analytics including total revenue, shipment count, and breakdown by source (MCP vs CLI) to track revenue generated through AI tools.
    MIT
  • Train a generative Flow model on a portfolio and conditioning set to generate synthetic market paths. Returns immediately; training runs on GPU and takes 5-15 minutes.
    MIT
  • Manage a multi-venture AI agent swarm with namespace isolation, register ventures and roles, create custom tools, and inspect namespace access.
    MIT
  • Provides curated recipes for canonical generative visuals and optionally exports a portable JSON bundle for TouchDesigner.
    MIT
  • Create evolving generative visuals in TouchDesigner. Generates a node network with a chosen technique (noise, reaction-diffusion, GLSL, etc.) and returns paths, controls, and a preview.
    MIT