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127,264 tools. Last updated 2026-05-05 12:28

"Tool to analyze backend code, connect with Jira, and automate coding tasks" matching MCP tools:

  • Lists connected MCP backend servers with their status, tool count, and circuit-breaker state to monitor server availability and resource allocation.
  • Convert Markdown text to JIRA wiki markup. Transforms headers, lists, code blocks, links, and formatting into JIRA-compatible syntax for documentation and issue tracking.
    MIT
  • Route coding tasks to the appropriate AI model based on complexity. Generate code, refactor projects, and design algorithms with automatic model selection for simple, moderate, or complex programming needs.
  • Validate PHP, JavaScript, or CSS code against Magento 2 coding standards to identify violations with severity levels, line numbers, and fix suggestions for compliant development.

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  • Jira MCP Pack

  • AI-native art catalogue. Catalogue works, parse provenance, and generate signed RAIs.

  • Assign Jira work items to specific users to delegate tasks and clarify ownership. Use this tool to transfer responsibility for issues by specifying the issue key and assignee.
    MIT
  • Generate TypeScript backend code for Arbitrum dApps using NestJS or Express frameworks with viem integration for blockchain interaction.
  • Execute multiple AI tasks in parallel across all available GPUs to process files, review code, summarize documents, and analyze content simultaneously for maximum throughput.
  • Start a new external coding-agent run with specified backend and role, returning immediately to allow parallel task execution.
  • Establish WebSocket connection to React DevTools backend for inspecting component state, props, and performance metrics during debugging.
    MIT
  • Connect Ludus FastMCP to Jira for issue tracking. Configure integration, create and update issues, and link deployments to track security testing progress.
    MIT
  • Execute AI coding tasks by providing prompts and file paths for editing and context, enabling controlled code generation and modification.
  • Execute multiple coding tasks simultaneously within a shared workspace, with results saved to a designated file for efficient parallel development workflows.
    MIT