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"ImageKit image optimization and delivery service" matching MCP tools:

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    Provides nine specialized production-ready solvers for advanced resource allocation, network flow, and multi-objective optimization with native Monte Carlo integration. It enables users to perform constraint-based decision-making and performance analysis directly through Claude Code.
    Last updated
    MIT

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  • Image processing for AI agents. Resize, convert, compress, and pipeline images.

  • AI-to-AI petrol station. 56 pay-per-call endpoints covering market signals, crypto/DeFi, geopolitics, earnings, insider trades, SEC filings, sanctions screening, ArXiv research, whale tracking, and more. Micropayments in USDC on Base Mainnet via x402 protocol.

  • Retry a failed or dead-lettered delivery by re-enqueuing it. Works only when the delivery status is failed or dead_letter, returning the updated delivery row.
    MIT
  • List, retrieve, and issue draft delivery notes. Issuing finalizes the delivery and adjusts stock when stock management is active.
    MIT
  • Run a full Lighthouse audit to get Performance, Accessibility, Best Practices, and SEO scores (0-100) along with detailed findings on render-blocking resources, image optimization, and unused code.
    MIT
  • Retrieve final delivery status and timestamps (created, sent, failed) for a WhatsApp message by providing its ID. Confirm message delivery.
    MIT
  • Extract payment terms, delivery deadlines, renewal dates, and party-specific action items from a contract. Returns structured data, cached for efficiency.
    MIT
  • Update a Bult service configuration, including deployment source, Docker image, GitHub settings, ports, files, and environment variables.
    MIT
  • Start, stop, or rebuild a Bult service to manage its lifecycle after deployment, Docker image, GitHub repository, or environment variable changes.
    MIT